I am a Senior Data Engineer specializing in large-scale telemetry analytics, cloud data pipelines, and high-performance data processing. I currently support BMW Group through ACT Digital, where I analyze global vehicle test-fleet data and turn complex signals into actionable engineering insights.
I build optimized Python-based analytics solutions using Polars and PySpark, with experience processing vehicle network data including CAN, DLT, Ethernet, and SOME/IP. My work focuses on scalable ingestion, transformation, analysis, and visualization of telemetry data.
I have hands-on cloud analytics experience with AWS services including Glue, Athena, S3, and QuickSight. I also develop interactive, AI-enabled data products and use agentic AI, MCP, and Copilot-based workflows to improve internal processes and stakeholder access to data.
I place strong emphasis on software quality, maintainability, and automation. I administer GitHub repositories, establish version-control practices, and implement CI/CD and code-quality workflows using GitHub Actions, Jenkins, SonarQube, GitLab, and Docker.
My background combines data engineering with embedded systems, IoT, firmware, hardware development, and smart-city mesh networks. This gives me a practical understanding of how physical systems generate data and how to reliably process it at scale.
I am also an active maker with experience in custom UAVs, IoT projects, PCB design, 3D design, and 3D printing. I enjoy solving cross-disciplinary problems spanning hardware, embedded software, cloud platforms, and analytics.