Data Engineer, Physicist, Builder
A decade of building data platforms for Germany's largest enterprises. Grounded in physics, driven by first-principles thinking and 28 years of programming experience.
I started programming at 16 when I got my first computer. I studied biology at the University of Heidelberg and the University of Ottawa, then pivoted to physics — MSc (Diplom-Physiker) from the University of Heidelberg.
Since 2015, I've architected cloud data platforms for major German enterprises — automotive, chemical, retail, sportswear — across AWS, Azure, Databricks, and Snowflake.
I founded Argodis GmbH in 2020 for independent consulting.
Fluent in English, German, and Bulgarian. Dual German-Bulgarian citizenship.
Building the Euxine Data Platform — an open-source, EU-sovereign alternative to Snowflake and Databricks. Cost-effective, batteries-included, deployable on European infrastructure via Infrastructure as Code.
Documenting the build in a video series on the Euxine Data YouTube channel.
Enterprise Retail — via Argodis GmbH
Argodis GmbH
Enterprise Chemical & Consumer Goods
Enterprise Automotive
Enterprise Automotive & Sportswear (via Accenture)
Azure, AWS
Databricks, Snowflake, Spark
Airflow, Prefect, DBT
Python, Java, Scala, TypeScript
PyTorch, scikit-learn
Docker, GitLab, Azure DevOps
University of Heidelberg, 2013