Senior Cloud Data Engineer, GetInData
Data Engineer, GetInData
BigData Engineer, GetInData
Advanced Data Analytics Competence Center Manager, ASTEK Polska
Michał has over 15 years of experience working with Data and Analytics. During this time he worked mostly for telecommunication and healthcare industries.
At Astek is responsible for managing a team of over 200 consultants helping clients get the most out of their data. As Competence Center Manager is responsible building competences in Advanced Data Analytics area. His team consists of Solution Architects, Data Engineers, Data Scientists, DevOps, MLOps and Cloud Experts involved in building AI systems, data platforms, data warehouses and BI solutions and supporting companies in cloud adoption.
Centre of Expertise - AI, ING Bank Śląski
Graduate from Warsaw School of Economics. Currently a data scientist in Center of Expertise - Artificial Intelligence at ING Bank Śląski SA. Working on improving the understanding of AI in the organization, ensuring an optimal and scalable ML environment, and creating ML solutions for various stakeholders.
Principal Sales Engineer, Data Science, Snowlflake
Mats is working at Snowflake as a Principal Sales Engineer where he advises customers on Data Science with Snowflake. He has been working with analytics and information centric systems since the mid nineties in various roles.
Head of Presales and Professional Services, MDSap
Dawid is an architect of customer solutions at MDSap. He has a wide and deep experience in different technologies and industries, helping companies to innovate in their digital transformation journey by unlocking the potential available in the data they have. Customer-oriented with the ability to engage the key customer stakeholders including both business and IT teams together. A big fan of Data Management, Warehousing and Big Data as well as customer workshops, kickoffs and interviews.
Technical Lead for Data Analytics Platform, ING Hubs Poland
Enables companies to make use of data to fuel their product strategies. Closing the gap between IT infrastructure teams and business initiatives. With the experience in high frequency trading business, migrating Spotify biggest analytics cluster to the public cloud and rebellious heart, he finally landed yet again at ING as he believes there is an untapped potential in the financial sector. Speaker at multiple conferences Big Data Tech, Kubecon, Apache Big Data, DataWorks Summit.
Senior Data Scientist, GetInData
Kornel Skałkowski graduted Computer Science at AGH University of Science and Technology in 2010, in 2015 he was promoted to PhD at the same university, the thesis was related to applied machine learning. In the course of his career Kornel Skałkowski worked for companies such as SAP SE, IG or Novomatic. The projects he participated in, included areas such as consumer behavior forecasting, games of chance results prediction or Apache Spark framework adaptation. Currently, Kornel Skałkowski works for GetInData as a Senior Data Scientist, where he takes part in projects involving natural language processing. In his free time, he likes hiking, cycling and reading books.
Big Data Group Director , Adform
Mariusz works as a Big Data Group Director in Adform, advertising technology company. Over the years he had the pleasure to design and develop software for many different clients. Also, he has an opportunity to manage mid size teams of specialists in various areas (software development, IT Support, Business Intelligence and R&D). Currently his career path is focused on team and people management with addition of Enterprise IT Architecture (with specialization in business intelligence and data architecture). This way Mariusz can use his experience not only in software designing & development but also in people management.
Senior Program Manager, Microsoft
Member of the Azure Synapse Analytics product team, focused on community management and engagements. In his professional career Pawel has always been associated with data engineering and analytics (SQL, BI, Big Data). Founder of the Polish SQL Server Users Group (PLSSUG), today known as Data Community Poland. For his contribution to IT communities Pawel has been multiple times awarded with Microsoft Most Valuable Professional (MVP) title.
Field Consultant, Ab Initio
Maciej is an engineer with 15+ years of experience on many fields. He always prefer to deeply understand problem and propose tailored approach instead of ready solution. His fields of interest and responsibilities are algorithms and AI/ML solutions.
Senior Data Scientist, GetInData
Michał works as Senior Data Scientist at GetInData, where he helps clients get the most value from their data. He has over 10 years of experience working for the largest telecoms in Poland. Since 2015, he has been involved in many projects related to data analytics and building predictive models. Michał holds a PhD in computational mechanics and applied mathematics.
Solution Architect, Databricks
Dan Buzarnescu, as a Solution Architect, is supporting some of the largest customers in Eastern Europe with their data analytics journey. Previously to Databricks, Dan was working as Data Scientist or Data Engineer in financial services, gaming and telco sector.
Principal Data Platform Architect, Field CTO Office, Snowflake
Michael is the tech lead for the machine learning team in the Field CTO office, where he helps organizations leverage the power of Snowflake to build mature, enterprise-grade data science and machine learning capabilities. Prior to joining Snowflake, Michael held leadership positions in AI and ML go-to-market at Amazon Web Services and Cloudera, and has deep experience in bringing ML products to market and building high-powered technical sales teams. Michael leverages more than 20 years experience (including Sun Microsystems, Oracle, and Teradata) in designing, building, selling, and architecting data and analytics solutions to help organizations leverage the power of data to build communities. Originally from Denver, Colorado in the United States, Michael also has extensive international experience, having lived and worked across Europe for much of the last 17 years. Michael's academic background started in technology (computer science, mathematics, and physics) and includes an MBA degree focused on transformation and leadership of tech companies.
Senior Product Marketing Manager, Snowflake
Managing Consultant, Ataccama
Data Platform Associate, Point72
Graduate from University of Warsaw, Quantitative Finance Master Program. Have 5+ years of experience in DataTech. Currently taking the role of Business Analyst in Point72 Data Engineering team working on internal and external data pipelines within the AWS dataplatform.
Customer Engineer, Google Cloud Poland
She helps the largest enterprises in their digital transformation to the Google cloud through the adoption of solutions in the areas of Data, Analytics and Machine Learning.
Previously, for many years associated with the Telecommunications sector, where she was involved in extensive customer analytics, as well as building and implementing models used for predicting user behavior. Then, together with IBM Polska supported companies from multiple industries in the use and monetization of knowledge hidden in data.
Cloud Customer Engineering Manager, Google Cloud Poland
At Google, Michał leads a solution architect team helping customers and partners utilize cloud to its fullest potential. He's passionate about the impact of information on business and social processes and used to work as a consultant on many projects related to big data, machine learning and data science.
Data SCE at Professional Services Organization, Google Cloud Platform, Google Cloud Poland
Radek joined Google in September 2018 as the Data Strategic Cloud Engineer in Professional Services Organization at Google Cloud. Prior to Google, Radek spent 10+ years working with startups, enterprises, pharma, fintech and the public sector helping with data analytics, hadoop based development and integration.
Chief Technology Officer, 3Soft
Expert in data engineering and process automation. He has been in the IT industry for over 19 years. Creates advanced solutions to maximize the value of data. He has an established experience in designing and implementing business applications as well as Big Data and cloud technologies. He has implemented complex IT projects for betting, automotive and retail companies, and for the largest banks in Poland.
At 3Soft he is in charge of an over 35-strong Data Management department consisting of DevOps & Data Engineering and Data Analysis teams. He supervises activities related to preparing concepts of system architectures and defining production environments. He implements practices of collecting, storing and using data in a secure, efficient and cost-effective way. Responsible for building and developing 3Soft's competencies in selected data management technologies. He analyses technology trends and implements them in projects carried out at the interface between IT and business.
Group Product Manager – Azure Engineering, Microsoft
Saveen Reddy is a Group Product Manager in Azure Engineering. He leads a team focused on enabling developers to be productive with the big data ecosystem. Since joining the company in 1996, he's helped build to a wide variety distributed systems focusing on communications, security, ERP, and Big Data.
Solutions Engineer, Cloudera
Michał works as a Solutions Engineer and he serves as a technical authority and trusted advisor to Cloudera customers and partners in the Central and Eastern Europe region. He has over 14 years of experience in designing and deploying various services based on software that originated from open-source projects. Before joining Cloudera, he has worked in large company environments - such as Oracle, Citrix, Huawei - and Silicon Valley startups - such as ByteMobile, where he completed a range of technical and sales engineering roles.
Data Science Lead @ Search, Truecaller
With a mission to build unparalleled trust in communication and protect our users from unsolicited communication. Together with our team of talented individuals we build end-to-end Machine Learning applications using cutting edge technologies scaled to work using enormous amounts of data. Understanding user behaviour and what brings value to the table is a prime goal that we constantly dominate at a lighting pace.
As a Data Science Leader my experience revolves around researching, building, deploying and extensively testing large scale machine learning and AI algorithms by leveraging Spark propelled by sound knowledge of data engineering applications and use cases.
Additionally, providing mentorship and building blueprints to achieve various product goals across the company by leveraging scientific & data-informed approaches.
Other areas of my work include NLP, image processing, distributed graph social networks, large scale data pipelines, user segmentation and behavioural applications & advertisement performance.
Data Platform Architect, Kambi
Canadian born, Swedish living, Andrew is a Systems Architect, specializing in building data platforms and designing analytical data systems at Kambi. With 15+ years of working with data in various aspects, using a mix of technologies from on-prem to cloud, he brings a wide array of knowledge and deep understanding of technology, and the ways businesses can be enabled, empowered, and can create value from their data and technology. When not designing systems, he enjoys exploring the outdoors with his wife, daughter, and dog.
Software Architect, Demant
Don't Stapp me now:-)
Cloud architect at Demant by day, Microsoft MVP by night. Experienced in Azure Cloud, DevOps and FinOps.
Developer, Engineer, Craftsmen and biker in one person. Believe in people not papers.
Senior Technical Architect, IQVIA
Piotr has around 15 years experience in data warehousing. For the past 8 years Piotr remains responsible for end-to-end healthcare data warehouse design for local IQVIA teams around the world. Before IQVIA switched entirely to BigData in 2016, he was involved in data onboarding, curation & reporting processes on IBM PureData for Analytics (Netezza) technology. He originated from Oracle, had a chance to work with Teradata as well. Currently helping to transition Electronic Medical Records data solutions towards the cloud (DataBricks and/or SnowFlake). Personally more data-oriented, less interested in deep-programming topics.
Director, IT Architecture, Real World & Analytics Solutions, IQVIA
Maciej is an Enterprise Architect responsible for defining the technology strategy for Real World & Analytics Solutions organization with a focus on data systems. Throughout his career Maciej has held several senior technical positions, including Enterprise Architect in healthcare domain, Chief Technologist in financial services sector and in a global services delivery organisation. His focus and passion have always been in the areas of Architecture, Artificial Intelligence and Data and Analytics.
Tribe Technical Lead, T-Mobile PL
Community Solution Engineer, SeMI
Laura is a Community Solution Engineer at SeMI. She works on everything UX/DX related to Weaviate. For example, she is responsible for the GraphQL API design, and researches new machine learning features for Weaviate. She is in close contact with our open source community. Additionally, she likes to solve custom use cases with Weaviate, and introduces Weaviate to other people by means of Meetups, talks and presentations.
Software Engineer, Neuralight
Miki is a Software Engineer at Neuralight. Previously she was a Data Engineer at Aidoc, where she loved exploring new datasets and designing new data architectures. In her spare time, she’s leading 8200Bio, a local technological healthcare community. She’s passionate about data, healthcare and their powerful combination.
Lead Data Scientist Operations, Philip Morris International
Krzysztof focuses on applying state of the art Machine Learning techniques in Manufacturing, Operations and Agriculture. He has extensive enterprise experience in information extraction, probabilistic analysis, deterministic modeling and Big Data building blocks. His primary interest is on effective use of AI tools in Industry 4.0.
Associate Data Scientist, Philip Morris International
Alicja graduated from the Jagiellonian University with a life sciences degree and the AGH University of Science and Technology in Kraków. In her daily work she solves business problems in the field of Operations using advanced analytics and machine learning techniques. Passionate about applied data science, MLOps, cloud technology.
Data Scientist, Ringier Axel Springer Polska
As a data scientist at Ringier Axel Springer Polska since 2015, she has been involved in many projects concerning real-world machine learning applications, including the large-scale news recommendation systems for news services. She has shared her experience during talks and presentations on multiple tech events. She graduated from the industrial doctorate program at AGH where she taught courses related to ML for computer science students.
Cloud Lead, Mindbox
Łukasz has been working with the public Cloud and Data Center since 2007 as an engineer and architect. During his professional career, he has worked for a hosting company and managed a large environment by designing distributed systems in private and public clouds and developing and optimizing Kubernetes and Red Hat OpenShift container platforms. In addition, Łukasz participated in large digital transformation projects, from monolithic applications and static processes to automatically managed and redundant microservices. Due to his experience working in large environments (1k + servers), he is a fan of full automation, infrastructure in code, and automatic management of application logic.
Lead Software Engineer, Ververica
David is a Lead Software Engineer at Ververica and Apache Beam and Apache Flink committer. He has spent most of the last decade working on petabyte-scale data pipelines, messing with database internals and leading some amazing engineering teams. Currently, his main focus is with the distributed coordination layer of Apache Flink and bringing Apache Flink cloud native.
Developer Advocate, Aiven
I'm a Data Enthusiast helping clients improving their Analytical potential. Developer Advocate at Aiven, Public Speaker, Blogger, Trainer. Oracle ACE Director & ITOUG President. @ftisiot http://ritt.md/FT
Software/Data Engineer, GetInData
Software/Data Engineer with 5 years of professional experience. Interested in building reliable, scalable, and maintainable data-driven systems.
Data Platform Engineer, Allegro
During the breaks of riding the bicycle Wojciech manages the big data stack in Allegro. He's a big fan of Apache Airflow, Jupyter and Terraform. Currently his main goal is to migrate big data jobs from on-prem Hadoop environment to public cloud.
Founder & Engineer, Legali
Leandro is a latino immigrant engineer and entrepreneur currently living in Sweden. In the past they've worked for unicorns like Spotify and Klarna. Today, they lead a Legal Tech startup called Legali.
In their spare time they like to watch Star Trek, try new restaurants, and build computer languages that solve real human problems.
Chief architect, Point72
10+ experience in big data, Open source contributor, Big data architect
Jakob Gottlieb Svendsen
Chief Cloud Engineer, Saxo Bank
Jakob Gottlieb Svendsen, Cloud and Datacenter Management MVP, recently joined Saxo Bank as Chief Cloud engineer and Technical product owner for Cloud Foundation (Cloud Center of Excellence). In charge of the tecnical side of management of our cloud(s). Currently Saxo Bank hosts their services on Microsoft Azure. As a former principal consultant and lead developer @ CTGlobal/Coretech for over 13 year, he has worked with a wide range of area related to management of IT, and later management of cloud. This included infrastructure as code, cost management/FinOps and much more. Jakob was one of the authors of Microsoft Hybrid Cloud Unleashed (2017) and a contributing author to System Center 2012 Service Manager Unleashed (2014). He has presented at a wide range of events, including Ignite, TechEd, PowerShell Conference and MMS. He has also authored several courses for CTGlobal. Jakob blogs at http://www.jakobsvendsen.com
Software developer, GetInData
Software developer with more than 10 professional experience. Enthusiast of streaming processing and MLOps. "Business value" is my second name. Book lover.
Founder & CEO, Select Star
Shinji is the Founder & CEO of Select Star, an automated data discovery platform that helps you understand your data. Previously, she was the CEO of Concord Systems (concord.io), a NYC-based data infrastructure startup acquired by Akamai Technologies in 2016. She led building Akamai’s new IoT data platform for real-time messaging, log processing, and edge computing. Prior to Concord, Shinji was the first Product Manager hired at Yieldmo, where she led the Ad Format Lab, A/B testing, and yield optimization. Before Yieldmo, she was analyzing data and building enterprise applications at Deloitte Consulting, Facebook, Sun Microsystems, and Barclays Capital. Shinji studied Software Engineering at University of Waterloo and General Manage
Senior Data Developer, Shopify
A graduate of Computer Science from the University of Toronto, Victoria has been working at Shopify for the last 4 years, both in Toronto and Berlin, in data platform engineering, focusing on data ingestion. Passionate about data management and storage, Victoria has been leading the charge at Shopify for the adoption of Apache Iceberg.
Senior Solutions Architect, Databricks
Daniel Haviv has been working with a multitude of companies helping them solve their data challenges throughout his career, recently as a Senior Solutions Architect for Databricks and as an Analytics Specialist SA in AWS.
Sonal is the founder of Zingg(www.zingg.ai), building an ML-powered entity resolution framework for a single source of truth of customers and suppliers. Zingg is open sourced at https://github.com/zinggAI/zingg. Sonal has 23 years of experience building data products for investment banking, telecom, gaming, insurance and other industries. She is a repeat speaker at conferences like Spark Summit, Strata, Data Con LA and GIDS. She holds a BTech from IIT Delhi and lives in India.
Junior Data Scientist, SGPR.TECH
Junior Data Scientist at SGPR.TECH, PhD candidate at the Center for Polar Studies. Experienced in ML and its applications in Ground Penetrating Radar data. Authors of scientific publications and presentations at international conferences. Regularly visits Arctic regions and Skandinavia.
Solution Architect, independent consultant working for financial market institutions (currently Credit Agricole project)
With a diverse career that spans over fifteen years, Sarah has been a part of every aspect of the IT world. She began at the bottom of the industry, working hard at the small jobs until she earned her way to her current position. With determination, Sarah accomplished her goals, getting things done in a timely, intelligent way. This led her to see things on a bigger scope as her passion for technology deepened.
Born and raised on a dairy farm in Scotland, Sarah holds true to her heritage by embracing the natural world through her appreciation for technology. For Sarah, technology is a way to see life as it grows and adapts, ever-changing, just like the natural world of farming. Sarah is proud to give back to her community. As a STEM Ambassador, Sarah helps others learn how IT can impact and change their lives for the better. Most specifically, she enjoys teaching the next generation of young women how they too can rise in a maleoriented field and succeed in their own careers. Sarah also founded the Glasgow Azure User Group, a community collective who meets bimonthly to network and discuss the latest in technology.
Sarah’s enthusiasm in the field of technology has given her the opportunity to speak at public events, most notably, Microsoft Ignite.
Software engineer, Crowdstrike
Cornel is a software engineer happily employed by Crowdstrike in the Data infrastructure team. He is working on the internal datalake solution ingesting close to 1PB of data daily.
Engineering Manager for the Data team, OLX Group
He has been working there since 2014 and during that time he was a key engineer in various technological migrations. The latest migration was from Azure Analysis Services to Apache Kylin - he and his team were primarily responsible for migrating data between the two systems and enabling internal clients to work.
Analytical cubes in the service of data analysis - Analytical cubes are difficult, especially when we look at different technologies. I would like to show you the most important lessons about cubes in my experience.
Co-Founder and CTO, Synerise
Miłosz Baluś is the CTO of Synerise, the company behind Terrarium. Nearly 15 years of professional experience with the successful delivery of numerous projects for medium, large, and enterprise clients. Delivered projects included data analysis and business intelligence platforms, data collection and integration tools, data reporting platforms, and AI applications with role as a software engineer, solution and software architect, or team leader. Expert in the design and delivery of cost-effective, high-performance technology solutions. Effective at building culturally diverse, team-centered operating units, with a focus on business process and strategy development skills. Customer-oriented with the ability to initiate profitable alliances with key stakeholders and vendors. His technical interest focus into cloud computing, scalable distributed system and hight performance computing in big data word.
Head of Architecture, Data and Infrastructure, W1TTY
Robert is currently leading Architecture, Data and Infrastructure in W1tty, Global Digital Bank. Previously he was leading technology department in Global Financial institution with the headquater on Wall Street. Robert is hands on technologist with strong experience in software development.
Principal Software Engineering Manager, Microsoft
Pawel is a Principal Software Engineering Manager at Microsoft leading an infrastructure and automation team for a big telemetry-data pipeline. Prior to that he designed and developed several core pieces of the pipeline leveraging the power of Azure Cloud and other Microsoft technologies. Before Microsoft, Pawel was working at 9LivesData delivering a massive scale distributed backup and archive system. He is passionate about big data, cloud architecture, making software reliable and scalable.
Staff Data Scientist. eBay Inc
Arnab is a staff data scientist in the Search team at eBay. He focuses primarily on leveraging state of the art Machine Learning techniques towards natural language understanding. He has also worked extensively on knowledge graphs, intent understanding, context extraction to improve the search engine that powers eBay’s marketplace. He has extensive enterprise experience in model building, NoSQL databases, information extraction, recommender systems, probabilistic models and analytics. Arnab has publications in ESWC, ISWC, WWW and more. Arnab received his PhD in Artificial Intelligence from the University of Mannheim in 2015.
Solutions Architect, Bank Millennium
Physicist, architect/developer and classical singer. Solutions Architect at Bank Millennium responsible for AI solutions. Open Source enthusiast and contributor (https://qooba.net). A PhD graduate of physics at the Institute of High Pressure Polish Academy of Science.
Sr Software Engineer II, Uber
Matt is a software engineer with the Data team at Uber. He started working on cluster management systems as a developer on Apache Ambari. He currently leads the effort to containerize Data infrastructure. He is passionate about infrastructure automation and focusses on incremental progress towards a long term vision of a fully automated self-healing Data infrastructure at Uber.
Juan Manuel Perafan
Analytics Engineer, GoDataDriven
Born and raised in Colombia, living in the Netherlands since 2011. My ideal working week involves learning new technologies, debugging code, writing difficult calculations, teaching organizations about data visualization, and networking at a Meetup.
Group Head of Cloud
Radu Vunvulea is a technology enthusiast working as Group Head of Cloud Delivery for Endava. He has a vast experience in different technologies and industries. Most of his time is spent working with the cloud, helping companies to innovate and finding solutions to their business problems. He enjoys building bridges between people and helping others to grow. He shares his knowledge on his personal blog and at different events where he is invited as a speaker. In his spare time, he drives an IT community and he is also a Microsoft Regional Director and Microsoft Azure MVP.
IT Operations Manager, NetWorkS!
Experienced IT operation manager working 15 years in telco with a various technical competences and skills. Definitely I loving my job and following the technology (be in touch with the newest). I am a specialist in area of all aspects of telecommunication and ICT from maintenance and operation point of view (datacenter system, platform, infrastructure).
Chief Technology Officer, Teradata Corporation
Stephen Brobst is the Chief Technology Officer for Teradata Corporation and is widely regarded as a leading expert in data warehousing. Stephen performed his graduate work in Computer Science at the Massachusetts Institute of Technology where his Masters and PhD research focused on high-performance parallel processing. He also completed an MBA with joint course and thesis work at the Harvard Business School and the MIT Sloan School of Management. Stephen is a TDWI Fellow and has been on the faculty of The Data Warehousing Institute since 1996. He has been ranked the number four CTO in the USA and has authored numerous journal and conference papers.
Sjoerd van den Heuvel
Associate professor Data Driven Business & People Analytics, University of Applied Sciences Utrecht in the Netherlands
Sjoerd van den Heuvel Ph.D. is associate professor Data Driven Business & People Analytics at the University of Applied Sciences Utrecht in the Netherlands. He is an international authority and a frequently asked speaker at business conferences and in-company trainings across the globe. Recent international engagements included keynotes en masterclasses in Singapore, Dubai, Budapest, Sydney, Barcelona, Mannheim, London, Brussels, Istanbul, Kuala Lumpur, Geneva, Anaheim, Warsaw, and Paramaribo. Sjoerd cofounded the very first Master of Science program ‘Data Driven Business’ in the Netherlands; a formally accredited, and by the Dutch Government funded, multi-disciplinary 1-year university program in which students master the role of Analytics Translator: the must have role for data driven organizations (source: McKinsey, 2018). Sjoerd teaches Data Driven Decision Making and People Analytics to professionals, undergraduate- and graduate students. His research focusses primarily on individual competencies and organizational capabilities required for successful Data Driven Business & People Analytics. Sjoerd holds a Ph.D. degree in Human Resource Management from Tilburg University in the Netherlands, and prior to his current position, he worked as a senior management consultant (Capgemini Consulting), senior Engagement & Retention advisor (Dutch Postal Service) and assistant professor in HRM (University of Amsterdam and Twente University). In both his teaching and research activities, his core focus is on how to bridge the gap between science and practice, because that’s where the People Analytics magic happens!
Data Science Manager, Reckitt
Data Science Manager at Reckitt and PhD. Candidate at Systems Research Institute of Polish Academy of Science. Graduate of Big Data & Advanced Analytics major at the Warsaw School of Economics. Formerly Principal Data Scientist in energy management and AI Consultant in the retail industries. Passionate about data & analytics leadership, explainable AI and NLP.
Senior Data Engineer, Aidoc
Simona Meriam is a Big Data Engineer at Aidoc, where she specializes in research and development of solutions for big data infrastructures. In her previous position as a Big Data Engineer at Nielsen, she researched and developed big data solutions using cutting-edge technologies such as Spark, Kafka, and Elasticsearch. In her spare time she enjoys listening to bands you've never heard of and planning trips to Japan.
Data Engineering Manager, Zalando
Max Schultze is a data engineering manager working on building a data infrastructure platform at Zalando, Europe’s biggest online platform for fashion. His focus is on building data pipelines at petabytes scale, productionizing distributed processing engines like Spark and Trino, and providing services and tooling for data management to hundreds of teams across the company. As an early adopter of the data mesh paradigm, he is frequently advocating its usage through conference appearances, online trainings, and a recent "Data Mesh in Practice" publication at O'Reilly Media. Max graduated from Humboldt University of Berlin, actively taking part in the university’s initial development of Apache Flink.
Director of Data Science, Willa
Aru leads the data science team at Willa, a FinTech startup based in Stockholm that focuses on invoicing and payments for US-based freelancers." He holds undergrad degrees in Computer Science and Political Science from Grinnell College (USA), and attended graduate school in Economics at The Graduate Institute of International Studies (Switzerland). Prior to HiQ, he worked in the statistics/analytics and data science teams at the United Nations, Yahoo, Truecaller, Springworks and HiQ. Outside work, he enjoys reading about psychology/tech/politics, cricket, cooking, playing squash and running.
Director of data & advanced analytics, ICA Gruppen
I have worked within analytics for the last 15 years and come from an old-school Kimball background. As the technology and methodologies have evolved so have I. I am constantly working hard to embrace new ways of maximizing long-term business value out of analytics.
Data Scientist, Willa
Qi works close to Aru in the Analytics and Data Science team at Willa, a FinTech startup based in Stockholm that focuses on invoicing and payments for freelancers. He has work experience in different industries, such as logistics, customer services, gaming and fintech (now). Sci-fi movies, cooking & hiking in the forest are his favorite activities.
Head of Storage & Compute Infrastructure - AI/ML, Apple
Reza Shiftehfar is currently the Head of Storage & Compute Infrastructure at Apple AI/ML. His teams provide core infrastructure for all other engineering teams. This includes data transfer as a service, compute as a service, storage as a service and Hadoop data platform. His team operates in both Cloud environments as well as on-premise datacenters and uses technologies such as Kubernetes, Apache Spark, Apache Flink, Apache Iceberg, Apache Kafka, Apache Hadoop, Trino, Apache Druid, Apache Superset,... Reza is one of the founding leads for moving Apple infrastructure from traditional on-premise data centers into the Cloud. Reza holds a Ph.D. in Computer Science from the University of Illinois, Urbana-Champaign and had previously worked at Uber and Twitter on similar infrastructure & big data platforms.
If you are interested in the area of distributed systems, infrastructure and Big Data analytics and want to follow up with Reza, you can reach him on LinkedIn (https://linkedin.com/in/reza-shiftehfar-39301b6/) or on Twitter (https://twitter.com/RezaSH).
Data Analytics Platform Lead, ING Banking Technology Platform, ING
Managing Director of Data Science and Recommendations, Disney Streaming Services
Data Scientist / Machine Learning Engineer at OpenX. I analyze data for e-commerce companies from 2009 using it to solve real business problems. My toolbox contains TensorFlow, Python, Hadoop, Spark, and all data processing tools on the Google Cloud Platform. I have no fear of petabytes scale datasets and low-latency. Previously, I was a part of research teams in Allegro and Onet.pl
Machine Learning Engineer, GetInData
Michał analyzes data for e-commerce companies from 2009 using it to solve real business problems. His toolbox contains TensorFlow, Python, Hadoop, Spark, and all data processing tools on the Google Cloud Platform. He has no fear of petabytes scale datasets and low-latency. Previously, Michał was a part of research teams in Allegro and Onet.pl
Technical Account Manager, Ab Initio Software
For several years professionally associated with the IT industry. Co-creator of one of the first "cloud" Machine to Machine platforms. Architect of mobile payment systems implemented, among others in Iraq, Iran, Afghanistan, Thailand. Currently at Ab Initio Polska, he is responsible for contacts with clients, recommendation and planning of technical solutions.
Data Scientist, ING WBAA
Simon is working as Data Scientist at ING WBAA, where he is part of the popmon development team which we are presenting this summit. Moreover, Simon is an active open-source contributor (most notably creator of pandas-profiling).
Chief Data Scientist, ING WBAA
Max Baak is chief data scientist at ING Bank’s Wholesale Banking Advanced analytics department. He has a long background in particle physics, doing research at CERN and Stanford (14 years). Before joining ING in 2019 he led the Advanced Analytics & Big Data team at KPMG The Netherlands, doing data science consultancy (4 years).
ING Tech Poland
Manager of Data Analytics & BI, TrueBlue
Piotr has around 10 years of professional experience in the areas of Cloud, Data Management, Data Warehousing, Big Data, and Data Science working in several organizations. In his professional career, he served multiple roles: software engineer, business analyst, consultant, team leader, architect, and development manager.
Senior Data Engineer, Bolt
Bartosz joined Bolt (in Warsaw, Poland) a little bit more than a year ago. He works in a team responsible for data ingestion and transformations - as a part of Bolt Data Platform, built on top of AWS. Before that, right after graduation, he moved to Stockholm, Sweden, where he worked at Spotify at the Data Infrastructure department for more than three years. Bartosz first worked in a team building event delivery pipeline (hundreds of terabytes of data daily), later on he joined a team responsible for Spotify users' and data privacy, infra was built on top GCP.
Big Data DevOps Engineer, GetInData
Albert Lewandowski works as a Big Data DevOps Engineer at GetInData and is Certified Google Cloud Architect and Kubernetes Administrator. His day to day work involves creating Infrastructure as a Code, creating CICD pipelines, managing monitoring systems, deploying or moving applications to Kubernetes, manage data pipelines in AWS or Google Cloud and analyzing data. In addition to daily tasks, Albert works with Machine Learning pipelines for mobile apps and processing satellite data.
Engineering Manager, Zendesk
Engineering Manager at Zendesk. Has over 14 years of commercial experience, including 5 years in leadership positions. She started her adventure with BigData over 7 years ago and since then took part in projects related to data engineering, data science and machine learning. She has experience in building and leading a diverse and distributed team.
Jacek Laskowski is an IT freelancer specializing in Apache Spark, Delta Lake and Apache Kafka (with brief forays into a wider data engineering space, e.g. Trino and ksqlDB, mostly during Warsaw Data Engineering meetups).
Vice-Dean for Research and Development, Warsaw University of Technology
Researcher with 15+ years of experience in machine learning and predictive modelling. The main area of interest is responsible artificial intelligence, that is tools and methods related to safety, transparency and fairness of ML solutions. Lead developer of DrWhy.AI family of open-source solutions for MLOps.
ML Engineer, Twitter
Mateusz is an ML Engineer at Twitter. He works on understanding what people are tweeting about: currently by the topic classification, earlier by the automated event detection. Before that he was analysing terabytes of scientific papers, looking for word boundaries in scriptio continua and leveraged data to guess how much milk a cow would produce. Big fan of logistic regression, kNN and pretty charts. Formerly at ICM University of Warsaw, Microsoft and True Knowledge (now Amazon).
Data Analyst, GetInData
Tomasz gained experience during his work in logistics, medical services and IT (consumer apps). As a data analyst Tomasz was building repots by means of Microsoft Excel and VBA. Tomasz has been working with SQL and Python. Currently he is taking care of analyzing Big Data by using Hadoop ecosystem, Python and R. As a hobby, he enjoys taking part in Kaggle competitions.
Solution Architect, BAE Systems Applied Intelligence
Arkadiusz Jachnik is a Solution Architect at BAE Systems Applied Intelligence where he is responsible for development of Big Data systems and architecture of Advanced Analytics Platform - machine learning solutions in the area of financial crime detection. Previously, he worked as a Senior Big Data Engineer at Agora S.A., where he was responsible for the user profiling system and the recommendation system. He received his BSc and MSc in Computer Science at the Poznan University of Technology. Arkadiusz Jachnik is an author and coauthor of several machine learning publications and a speaker and participant in numerous conferences on Big Data.
Senior Solutions Design (Tesco Bank)
Worked in data engineering at a Stock Exchange, Telecoms, Amazon and top 100 Uni prior to Tesco Bank. Now moved to all round solution design, of which data continues to be an integral part in all successful businesses.
Solution Engineer, Vertica
Architect of innovative solutions with 20 years of experience in IT and IT Consulting. From the very beginning of his career he was on the vendor’s side.
He gained his knowledge implementing new technologies, in particular in the area of Big Data and Predictive Analytics, in projects both at Poland and abroad. For over 3 years a big fan of VERTICA analytical platform. Enthusiast of R language. A graduate of the Faculty – Technical Physics and Applied Mathematics at Warsaw University of Technology.
Head of Product of Data Platform Stream, Kambi
Juliana is a product leader passionate about data storytelling and has 8+ years of experience leading analytics teams to build data-driven products. She is experienced in building data platforms products and services and managing big data projects and teams. She is a diversity and inclusion advocate, CEO, and Founder of Beela.se and is currently writing her Master Thesis on IT Project Management with a focus on gender-biased IT project outcomes.
Senior Area Lead of Platform Engineering and Network Area (IT Director), ING Tech Poland
Versatile and dedicated manager with technical background and vast experience in global (10+ countries) IT projects related with software development, CI/CD, data management, public & private cloud, PaaS, network, DR, service desk, call center, it security, it risk and agile transformation.
Key strengths: leadership, it strategy, problem solving, result oriented, innovation focused.
Head of IT Perm Recruitment, Key Accounts Director, Hays Poland
Labour market expert with 15 years of experience in IT recruitment. At Hays he is overseeing the delivery of individual and volume permanent recruitment projects for IT positions in Poland. As Key Accounts Director he is responsible for contacting new investors, who consider opening or expanding their business in Poland. A graduate in Political Science and Psychology of Work and Stress. He also completed postgraduate studies in Human Resources Management at Kozminski’s Academy and Job Appraisal / Assessment and Development Centre at the SWPS University.
Analytical Consultant, SAS
Data Scientist with over 6 years of experience, an open mind and a deep passion for solving real-world problems using advanced statistical and machine learning tools. Expert in statistical learning methods theory and practice. Analyst with extensive experience in fraud analytics with major focus on building predictive models for such sectors as banking, insurance, telco and public. For almost two years engaged in computer vision related projects applying both classical and deep learning techniques. Boasts exposure to both open source and commercial software (Python, SAS, R, Oracle). Currently immersed in a deep dive into healthcare.
AppDynamics, Cisco Architect for the EMEA region, Cisco
Krzysztof is responsible for architecting and supporting AppDynamics solutions for customers across Europe and the Middle East. Prior to AppDynamics, Krzysztof worked for CA Technologies APM SWAT team, Microsoft Services, and Sun Microsystems.
Solutions Engineer, Cloudera
Kiryl is a Solutions Engineer at Cloudera responsible for technical excellence of the largest companies in Eastern Europe on their big data and analytics journey. He joined Cloudera in 2020 and since that time he has already helped a lot of customers develop and implement Big Data strategy and use cases. Prior to joining Cloudera Kiryl has been working in the EY assisting various companies in building their data analytics platforms.
EEA Sales Director, Snowflake
Sales Director for the Eastern European market in Snowflake with over 14 years of field experience in IT sales. He developed his skills by working for such suppliers as Oracle, Microsoft, AWS, and Qlik. Tomasz is focused mostly on cloud and analytics solutions. He believes that in the near future, data management in enterprises will be based primarily on a public cloud. He has decided to work for Snowflake, as he is convinced that the Snowflake data platform is the best answer for current market needs.
Senior Sales Engineer, Snowflake
Throughout his career, Piotr worked with companies like Amazon Web Services and Atos IT Services in various roles. During that time, he supported both private and public cloud customers. Over 10 years of hands-on experience in transforming and migrating obsolete architectures into modern resilient solutions. In Snowflake Piotr assists customers on their way towards efficient data warehousing.
Solution Architect, Clarite Polska
A graduate of the SWPS University.
In 2010-2011 was responsible for creating an IT system measuring the effectiveness of training courses.
Between 2012 and 2018 was responsible for the maintenance and development of IT infrastructure, as part of cooperation with an insurance multi-agency.
In 2018, he led a project that resulted in the first successful implementation of Informatica Axon Data Governance in the Polish branch of an international bank. In 2019, he was part of the team responsible for implementing the GDPR-compliant customer data depersonalization system, based on ETL and MDM solutions in one of the largest Polish banks.
From 2020 as an solutions architect at Clarite Polska S.A. is also an outstanding specialist in projects that use RPA and ETL solutions to optimize the work and data flows used in organizations. He co-creates a system that uses artificial intelligence to facilitate the use of data governance tools for business users.
His free time is filled with his little daughter and two hyperactive Shetland Sheepdogs. He loves searching for new recipes and conducting home cooking experiments.
Analytics & Automation Director, Clarite Polska, Member of the HR Data Club Program Council, Member of DAMA Poland Chapter
A graduate of the Warsaw University of Technology. IT manager with 20 years of experience in data management, data analysis and business process automation.
In 1997-2004 he worked as a data warehouse consultant at Sybase Polska. In the years 2004 - 2018 he was involved in work for Ascen, where he supervised the implementation of data warehouse, data flow and quality management projects in large organizations such as PGNIG S.A., NFZ, MSW, PZU S.A., Warta S.A.2018-2019 is the time of managing the technical team of Integral Solutions Sp. Zoo. and implementation of Informatica tools supporting data management in institutions such as BNP Paribas Bank Polska S.A. or Konica Minolta Business Solutions.
From December 2019, as the director of the Analytics and Automation department at Clarite SA, he is responsible for project management related to data management and advanced data analysis. The main clients of Clarite SA are companies from the energy sector, such as: PGNIG SA, Tauron SA, Polska Spółka Gazownictwa sp. Z oo, GAZ-SYSTEM SA
Privately - he loves to play tennis and he is passionate about oldtimer cars.