Mateusz Kijewski is a Senior Data Engineer at Addepto with over 6 years of experience in data engineering, specializing in enterprise Databricks Lakehouse implementations. He helps organizations design and adopt production-grade data and AI platforms on Azure and AWS, covering ingestion frameworks, data governance, and MLOps end to end. As the technical lead for Databricks-based data solutions at Addepto, he is involved from pre-sales through delivery, defining platform standards, advising clients on architecture decisions, and leading replatforming initiatives for organizations operating in regulated, multi-region environments. His background spans data analytics at Uber through progressively senior cloud engineering roles, giving him the perspective to connect business requirements with platform architecture.
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.