Big Data Engineer, Agile Lab
Passionate data engineer and problems solver.
I love to decompose complex problems into simple concepts and solve them with deep technical solutions.
I get so much motivated if surrounded by brilliant people.
Professor of software engineering, HTW Berlin & Technology Consultant at Thoughtworks
Arif Wider is a professor of software engineering at HTW Berlin and a technology consultant with Thoughtworks. Before moving back to academia, he served as Head of Data & AI at Thoughtworks Germany. As a vital part of his research, teaching, and consulting, he is passionate about distilling and distributing great ideas that emerge in the software engineering community. He frequently speaks and writes about technology but enjoys nothing more than bringing together people with diverse backgrounds.
Founder and Chief Data Wizard, Token Flow Insights SA
Tomek Mierzwa has over 20 years of experience with building data products, mostly in the fintech area. He is strongly business and strategy oriented but also retains the practical data engineering skills. Recently he founded Token Flow Insight, the startup focused on delivery of contextualised and semantically enriched data, mostly in the blockchain space. The company has just raised $12m in Series A funding to expand its data platform.
Pierre de Leusse
Engineering Director, PepsiCo
Pierre was awarded a PhD in Computer Science from Newcastle University in 2009 for research work on distributed systems security governance done at British Telecom. Following that, Pierre has worked in top tier banks mostly on compute heavy solutions for valuation and risk management. In the past years, Pierre has progressively focused more time on data and analytics. In 2022 Pierre has joined the PepsiCo eCommerce team to support its continuous growth in the field of data engineering.
Senior Data Scientist, Chess Grow
My name is Tomasz Juszczyszyn. I am master in Mathematics, graduated from Wrocław University of Science and Technology. Several years ago I abadonded my PhD studies in theoretical mathematics to fully focus on AI and programming. During that time I delivered many AI projects for commercial clients (ranging from Computer Vision, NLP, text segmentation, recommneders and other). Currently i hold the position of Senior Data Scientist at ChessGrow and ML Team Lead in Abastroke - MedTech company.
CTO of the C&F - I support companies in digital transformation and powering their data. I have about 20 years of professional experience working with custom applications and data management solutions development. I architected several major solutions including innovative Data Lake working on one of the biggest global enterprises. I hold an MBA degree and several industry certificates including TDWI Certified Business Intelligence Professional.
CEO and founder of Datumo. I am an experienced Big Data architect. I have been working on Big Data projects for 8 years so far. Previously I was a Software Engineer at JVM projects. I love shaping and creating a vision of the architecture of the project. I enjoy execution of the plan from the blueprint to the ultimate goal - production running application which solves the real-life problems of the clients.
CEO, Alligator Company
Torsten Glunde is an independent analyst and consultant specialising in data warehouse and Datavault solutions, database technologies and data modelling. He is the founder and CEO of Alligator Company GmbH - a consulting firm that supports its clients in implementing Datavault and DBT data solutions for their data products.
He publishes articles as a follower of agile methods and automation in data warehousing with over 20 years of professional experience. He presents at conferences on data management strategies, data vault modelling, data architecture and agile workbench for databases.
Staff Data & Information Architect, GE Healthcare
Philippe started to code at 16 but switched from coding to the BI/Analytic at 24. Since then, he strives solving major industry challenges via Analytic Solutions. With over 20 years of experience in the tech industry over two continents, Philippe covered everything from legacy on-premise up to cloud solutions.
Principal - Data & Information Architect, GE Healthcare
Irek has over 15 years of professional experience in BI, data analytics, data warehousing, big data, advance analytics, data science, metadata management, data governance, and visualization. Enthusiast of optimization and parallel processing. Currently responsible for building architecture for analytical ecosystem at Ge Healthcare.
Machine Learning Lead, Healthy.io
Sivan Biham is a Computer Vision and Deep Learning Researcher and Algorithm Developer. Currently she works at Healthy.io on healthcare-related products. She develops deep-learning algorithms for a variety of tasks for the medical domain. Sivan holds an M.Sc. in computer science from Weizmann Institute with a specialization in Computer Vision and Deep Learning, and a B.Sc. in Computer Science and Neuroscience from Bar Ilan University. She is enthusiastic about using her algorithmic skills and knowledge to improve people's health and life. In her spare time, she loves to run and practice yoga.
Staff Software Engineer at Confluent
I am an Apache Flink PMC and among the top 5 active contributors. I work as a Staff Software Engineer at Confluent, which acquired my former company Immerok where we were powering real-time systems at any scale with Apache Flink. Previously at dataArtisans(renamed to Ververica) original creators of Flink.
Vice President, AI Learning Capabilities
Kacper Łodzikowski is the Vice President of AI Learning Capabilities at Pearson, the world's leading learning company. The group's remit involves designing & building Artificial Intelligence systems as well as providing technical & ethical leadership in application of AI for learning. Kacper is also a researcher & lecturer in Artificial Intelligence at Adam Mickiewicz University in Poznań, Poland.
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.
Data Architect, Agile Lab
The spirit of a SW Engineer in the body of a Data Engineer: on a never-ending quest for painless data operationalisation.
(Lead) Data Science Consultant, Xebia Data (Netherlands)
Vadim Nelidov is a Lead Data Science consultant at Xebia Data with diverse experience in the data domain in a variety of industries from energy sector and banking to skincare and agriculture. Throughout his years in the data world, Vadim has been combining advanced data science with business insights to make data work with an impact. He aspires to see far beyond what is on the surface and get to the essence of the problems, discovering robust and scalable long-term solutions rather than temporary fixes.
Vadim is passionate about sharing his knowledge and insights, believing that Data literacy should not be a privilege of a few. And his goal is to be there to make this a reality. Making the intricacies of data science intelligible and uncovering the regularities hiding in the data is a major source of inspiration for Vadim. With this goal in mind, he combines his years of experience in consulting with his background in statistics, research and teaching to make this knowledge accessible to businesses and individuals in need.
Head of R&D, Data Engineering Infrastructure, Wix.com
The data and culture guy. Currently leading the big data platform group @ Wix.com. Josef has over a decade of experience building data intensive SaaS applications and growing the awesome teams that make
He believes that the secret sauce for creating sustainable complex systems is good design practices, effective communication between people, and automating everything. On his day to day work he works tirelessly on building the culture necessary to support these values and propagate them to others, one pep-talk at a time.
Senior Software Engineer, Allegro.pl
Jakub Demianowski is a Senior Software Engineer at Allegro working in the Data Engineering and Governance Team. At work he’s involved in implementation of internal Big Data systems and data processing pipelines. His area of interests includes JVM languages, Cloud Computing and processing data at scale.
Software Engineer, Allegro.pl
Yevgeniya Li is a Software engineer with a JVM-based backend background. Currently she is working in the Data Engineering and Governance Team, building BigData processing pipelines. Her main focus is in development systems to manage Data Quality and adoption of Data Mesh culture at Allegro. Author of the article in Allegro Tech Blog: One task — two solutions: Apache Spark or Apache Beam?
Solutions Architect, Chaos Gears
Tomek works as a Solution Architect. He started his career as a Java developer, but quickly fell in love with machine learning and cloud technologies. Now he applies his experience in producing relatively clean code when developing AWS infrastructure code. He encourages other developers not to be afraid of the cloud, to start experimenting with it and to add cloud tools to their technological toolbox.
Staff Software Engineer at decodable
Robert Metzger is a committer and PMC member at Apache Flink. Recently, he has focused on improving the deployment and operation experience of Flink, with a focus on autoscaling and generally working towards cloud native Flink. Robert Metzger is currently a Staff Engineer at decodable, working on data platform based on Apache Flink. He previously co-founded and successfully exited data Artisans (now Ververica), the company originally creating and commercializing Flink. He is a frequent speaker at conferences such as the QCon, ApacheCon and meetups around the world.
Senior Data Engineer, Free2Move
Bartosz is a senior data engineer enjoying working with Apache Spark and cloud data services by day, and blogging about them by night http://waitingforcode.com.
CTO and co-founder of Timeplus
Gang is the CTO and co-founder of Timeplus, he has over 20 years experience in software development, and is a recognized expert of AI, BI, Big Data and Data Visualization. He was the principal engineer of Splunk's ML and Data platform. He's also a diehard fan of AC Milan.
Senior Data Scientist, FREE NOW
Data Scientist trying to bridge business problems with the vector space. Here to share stories about building recommendation systems for multi-mobility, e-commerce, and travel platforms.
Data Science Tech Lead, King (Candy Crush Saga)
Msc in Computer Science Ph.D. in Applied Statistics 7yrs working experience in data science (pharma, finance, gaming) Currently Data Science Manager in King (Candy Crush Saga)
Yama Anin Aminof
Data Sciencist, Meta
Yama Anin Aminof is a Data Scientist at Meta, fighting fraud in financial services. In her previous role, she worked at MyPart, an Israeli startup in the music industry, developing algorithms and researching lyrical and musical song features. She is an activist both in the social world, fighting the violence against women and children, and in the technological world, as a public speaker and a mentor to women taking their first steps in the data science world. Yama has a B.Sc in Mathematics and Physics from Tel Aviv University where she also expresses her passion for music by playing the saxophone in the TAU Wind Band.
Developer Advocate, StarTree
Valarie Regas is a DevOps fanatic, accomplished speaker, a Georgia Tech coding boot camp graduate, and a veteran mommy. She holds a BA in Psychology and currently works in Developer Relations. After years being a stay-at-home mom, she decided to change her life by entering tech, and has learned a lot along the way. In addition to DevOps, she enjoys mixed martial arts fighting, table-top role playing games, public speaking, creating tiny humans, and activism of all sorts.
Juan Manuel Perafan
Analytics Engineer, Xebia
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.