Principal Data Engineer based in Warsaw, Poland.
I design and scale production data platforms, cloud systems, and AI-native engineering workflows — with a focus on reliability, automation, governance, and making complex systems easier to operate.
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Lakehouse & warehouse architecture, ETL/ELT, orchestration, data products, contracts, governance, and data quality. Think: reliable pipelines → reusable datasets → trustworthy analytics. |
LLMs, RAG, MCP, LangGraph, semantic search, AI-to-BI, and intelligent engineering workflows. Think: useful AI on top of trustworthy data. |
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AWS, Azure, GCP, Kubernetes, Docker, Terraform, CI/CD, serverless patterns, and platform engineering. Think: scalable infrastructure without unnecessary complexity. |
Testing, observability, automation, data quality, failure reduction, and production operations. Think: systems that keep working after they ship. |
| 7+ | 20+ | 50+ | 5TB+ |
|---|---|---|---|
| years engineering | countries enabled | production pipelines | data / month |
Global data product · PepsiCo
Technical lead for the next generation of the sDNA platform.
Architected automated and configurable data pipelines while enabling onboarding across 20+ countries.
Databricks Unity Catalog Lakeflow Azure Python SQL
Global analytics platform · PepsiCo
Scaled production data engineering across 20+ sources and international markets.
The focus: automation, reliability, onboarding speed, and data quality.
Snowflake Airflow dbt Python Data Quality
Industrial analytics · Volvo Group
Engineered large-scale pipelines and optimized Databricks / Spark workloads supporting predictive analytics on 5TB+ of monthly data.
Databricks Apache Spark Azure Predictive Analytics
Databricks · Apache Spark · Snowflake · Airflow · dbt
LLM · RAG · MCP · LangGraph · Semantic Search · AI-to-BI
Git · CI/CD · Data Quality · Observability · Testing
2025 — now PepsiCo Principal Data Engineer
2022 — 2025 PepsiCo Senior Data Engineer
2022 Volvo Group Data Engineer
2021 — 2022 EY GDS Data Engineer / Consultant
2021 3M Data Engineer
2020 — 2021 F-Secure Junior Data Scientist
2019 — 2020 Daimler Truck ADAS Software Data Engineer
2019 Bosch Data Science Working Student
University of Warsaw Data Science & Business Analytics
Polish-Japanese Academy of Information Technology Computer Science
Boğaziçi University Electrical & Electronics Engineering
AI-native development
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trustworthy data foundations
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reusable platform capabilities
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intelligent workflows
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better developer + user experiences
Current areas of interest:
Data Products · Lakehouse Architecture · Platform Engineering · AI Engineering · MCP · RAG · Developer Tooling
I prefer:
systems over demos
automation over repetition
simple architecture over unnecessary complexity
observability over guesswork
reusable platforms over one-off pipelines
useful AI over AI for its own sake
Building reliable data systems for today's platforms — and tomorrow's AI.