Summary
Dariusz Lubomski is a Senior Data Engineer with over 12 years of hands-on experience delivering large-scale data pipelines, analytics, and ML-driven solutions across finance, telecom, and hardware validation domains. He has built TB-scale Spark pipelines, Airflow orchestration, and production dashboards at Intel and PredictX, where he also applied LLMs to automate auditing and compliance. At Nordea he solved deduplication and data quality challenges on 16 million records using fuzzy matching and active learning, and earlier work at Wirtualna Polska involved petabyte-scale email log processing and ML-based spam/hijack detection. Comfortable across Python, Scala, PySpark, Kubernetes, Elasticsearch and SQL, he pairs deep technical craft with pragmatic data storytelling to surface actionable defects and drive product decisions. Based in Gdańsk with an M.Sc. in Applied Informatics, he combines embedded/mobile-era C++ roots with modern cloud data engineering—an unusual blend that helps him bridge low-level diagnostics and high-level ML automation.
12 years of coding experience
19 years of employment as a software developer
M.Sc. Eng. Applied Informatics from Faculty of Applied Physics and Mathematics, M.Sc. Eng. Applied Informatics from Faculty of Applied Physics and Mathematics at Gdańsk University of Technology
English, Polish