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.
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.
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.
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.
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.
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)
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.
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.
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.
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.
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.
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.
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.
AVP Technology, SoftServe
Together with my team of architects, consultants and top-notch experts in Big Data, AI, Analytics and IoT, we drive innovations, implement data strategies and facilitate adoption of cutting-edge technologies for a different range of organization from startups to enterprises (including Fortune 100 companies) in North America, Europe, Middle East and APAC. As a Solution Leader, I have extensive experience in R&D, design and implementation of enterprise-scale decision support systems, including operational intelligence and advanced analytics solutions for organizations from different business domains, including Retail, Manufacturing, Mining, Energy, BFSI.
Head of Product Engineering, Revolut
Wojtek works as Head of Product Engineering at Revolut. Before, he worked as CTO for several companies, provided consulting, training, and assisted in building various data collecting, analytics, and ML/AI solutions, including Big Data implementations, data stream processing systems, and data insight projects. He worked with multiple brands in the US, UK, and the Netherlands, including The Coca-Cola Company, the American Bankers Association, Macy's, Bloomingdales, Heineken, Saks 5th Avenue, BP, Boots, Polo Ralph Lauren, Porsche, HSBC, and others.
CEO & Meeting Designer, Evention
Przez lata dziennikarz i redaktor specjalizujący się w obszarze tematycznym ICT w perspektywie biznesowej, technologicznej, organizacyjnej i ludzkiej. Był redaktorem Computerworld. Współpracował z Polityką i Rzeczpospolitą. Później zajął się rozwojem biznesu. Zawsze za podstawową wartość i fundament swojej działalności traktował tworzenie efektywnych obszarów porozumienia w biznesie – wyrażonych w piśmie, w świecie Internetu czy w formie fizycznych spotkań. Zrealizował w sumie kilkaset projektów wydawniczych i eventowych.
W ciągu kilku lat budował biznes konferencyjny IDG Business Media, był także dyrektorem programów dla kadry kierowniczej w wydawnictwie IDG Poland. Członek Rady Fundacji „Instytut Mikromakro” – ThinkTanku, którego był współzałożycielem. Aktualnie Prezes spółki wyspecjalizowanej w organizacji skutecznych wydarzeń biznesowych. Łącznie blisko 20 letnie doświadczenie w działalności w obszarze mediów rynku teleinformatycznego. Łączy ścisłe wykształcenie i umysł analityczny z szerokim obszarem zainteresowań i wiedzy oraz głębokim szacunkiem dla humanistyki. Absolwent Wydziału Matematyki, Informatyki i Mechaniki Uniwersytetu Warszawskiego – uczeń prof. Władysława Turskiego. Ukończył studia podyplomowe „Komunikacja społeczna” organizowane przez Instytut Badań Literackich PAN i Fundację Upowszechniania Nauk. Uczestniczył w szeregu szkoleń i warsztatów, doskonalących kompetencje menedżerskie, umiejętności prowadzenia projektów i sztukę wystąpień publicznych czy wykorzystania narzędzi komunikacji elektronicznej i interaktywnych przekazów marketingowych.
CEO and Co-founder, Datumo
Piotr's passion is all about creating useful software. In love with DDD and Apache Druid. He was speaking in multiple conferences like Scalar, Big Data Tech, GeeCon, Confitura and years ago also in Devoxx. Piotr has been awarded best speaker in Data Science and Analitycs path in previous Warsaw Big Data Tech event.
Senior Data Scientist, SGPR.TECH
Maciej is a Senior Data Scientist, CI/CD best practices evangelist, and a trainer. Currently creating a Cloud-based analytical platform in SGPR.TECH to bring subsurface analysis into the digital age. He is passionate about Big Data building blocks, Spark lover, and Machine Learning enthusiast. His primary interest is to answer a question: how can we augment humankind and industries with Deep Learning and AI?
Senior Solutions Architect, Databricks
Prior to Databricks, Itai was a Principal Solutions Architect at Imply (founded by the original creators of Apache Druid), and before that - a big data tech lead at Nielsen Identity, where he dealt with big data challenges using tools like Spark, Druid, Kafka, and others. He is also a part of the Israeli chapter's core team of Women in Big Data. Itai is keen on sharing his knowledge and has presented his real-life experience in various forums in the past.
Data Engineer, GetInData
Grzegorz is a senior software engineer with seven years of experience. Recently a great enthusiast of stream processing and related open source tools, in particular Apache Flink and Apache Kafka. Currently, he is a data engineer at GetInData helping companies with building scalable, distributed systems for storing and processing big data volumes.
Big Data Architect, GetInData
Big Data Architect, Apache Spark Instructor and Contributor. Big fan of other Big Data technologies including Apache Flink, Kafka, Cassandra and many more. In addition to designing Big Data systems and processes on a daily basis, Maciej also possesses hands-on expertise with tools needed to create those systems from scratch.