Over the past ten years, I’ve evolved from frontline sales and customer success to architecting enterprise-grade data infrastructure that powers revenue growth and operational excellence.

My career spans Berlin’s fintech ecosystem, market research and high-growth environments. Each role exposing the critical disconnect between abundant data and actionable intelligence. I’ve made closing that gap my expertise.

As a principal data engineer and revenue operations leader, I design scalable pipelines, enforce data governance, and migrate complex systems (HubSpot, Prophix, Iterable) to deliver measurable ROI: €1.7M in optimized opportunity costs via churn alerting; €200K+ annual savings through ETL migrations and microservice redesigns; 25% uplift in sales forecasting accuracy.

I begin with rigorous process mapping and stakeholder alignment, then build with tools like Python, SQL, dbt, Airflow, Docker and multi-cloud platforms. Always prioritizing a data-as-a-product mindset.

When not engineering outcomes or studying enterprise patterns (Fowler remains essential), I cycle Berlin’s paths, refining my systems thinking.