I understand the business before I build the data product. From telco operations to data engineering. I build pipelines, models and reports, and I question the process behind them.
Moved from an on-premise Oracle data warehouse to Azure Databricks. I build and maintain the data model, from silver layer integration to gold layer data marts. Power BI dashboards and more complex data products: an invoicing model for wholesale network tenants and a source data validation product (incremental/SCD, integrated into CI/CD). Actively think along about process and business value, even where that's not strictly my role.
Built Power BI dashboards and Excel reports for KPI monitoring across Voice & Chat, ran Monthly Business Reviews and ad-hoc analyses. Dug into QM, KPI and verbatim data to find what was actually driving performance. Not just reporting numbers, but understanding why they moved. Certified Yellow Belt Lean Six Sigma.
Ran a team of 25–30 agents. Owned KPI results and daily planning. Got involved in improvement projects like Kennisplan and FTF focus groups, where I first started using data to drive decisions.
Started as a 2D experiment in Godot, grew into 3D. Built the inventory, dialog and turn-based battle systems from scratch. No AI, just figuring things out. Battle engine supports variable party sizes (1–4 vs 1–4) with randomization.
Python script that catalogs a 216 gel pen set and auto-generates PDF color cards via ReportLab. Includes pixel art swatches per color.
Survivors game in Godot. Started building it manually, then picked up Claude Code and it became a crash course in AI-assisted development. Also moved from borrowed pixel art to drawing my own. Not finished, probably never will be.
Happy to talk about data engineering, BI, or anything in between. Just reach out.