Mateusz Kiziak is a Senior Data Engineer with over a decade of hands-on experience in data warehousing, ETL, and big data engineering, currently delivering Spark/Scala pipelines and reporting for a major financial institution at EPAM. He blends technical leadership and IT operations—having led teams and managed Control‑M workflows, Kafka integrations, HDFS, and Linux automation—with close stakeholder collaboration to turn business needs into robust, auditable data solutions. As an independent consultant through DragonIT he provides training and architecture consulting across DWH, BI and Big Data domains, reflecting a strong mix of practitioner and advisor. Past roles include technical lead positions building global reporting solutions for pharma and insurance clients, where he oversaw teams of developers, QA and product owners. Beyond backend systems he has contributed UI improvements and drag‑and‑drop features to the open‑source CompreFace front end, showing an interest in user-facing polish as well as data plumbing. Based in Greater Poland, he pairs an MSc in Applied Computing with a pragmatic focus on delivering measurable value in regulated industries.
5 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Applied Computing, Master of Science (MSc), Applied Computing at Uniwersytet im. Adama Mickiewicza w Poznaniu
Contributions:1 review, 63 commits, 34 PRs in 2 months
Contributions summary:Mateusz primarily contributed to the UI of the CompreFace project. Their work focused on modifying and improving front-end components within the `ui/src/app` directory, including changes to application headers, user lists, and model lists. They addressed issues related to element placement and functionality by refactoring the UI code and removing commented parts. Furthermore, the user implemented drag-and-drop functionality and made code changes for the user interface of the system.
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