Munich, Germany

Platform engineer for data, ML, and AI deployment.

I build the systems, tooling, and deployment workflows that help teams deliver analytics and AI products in production.

About

What I do

I work across platform engineering, analytics engineering, and MLOps-adjacent delivery. My focus is on turning prototypes into systems that can run reliably in production.

That includes reusable Python tooling, cloud pipelines, CI/CD patterns, and integrations across data, application, and internal operational systems.

Core strengths

  • Platform and developer tooling in Python, SQL, Databricks, Snowflake, and dbt
  • Production deployment workflows: packaging, orchestration, testing, and handover
  • Cross-functional execution with data, product, software, and operations teams

Experience

Selected work

2025+

Data Engineer, Daiichi Sankyo Europe

Building shared platform tooling and internal analytics products, including reusable Python packages and deployment workflows that make new projects faster to launch and easier to maintain.

2022-2025

Analytics Engineer, FELD M

Delivered analytics engineering projects across insurance, finance, and direct-to-consumer clients, from source integrations and cloud pipelines to production data models.

2020-2022

Software Engineer and Risk Data Analyst, PayMongo

Worked on data pipelines, analytics models, Airbyte connectors, and risk operations tooling used for fraud review and merchant risk assessment.

Contact

Reach out

If you are working on something in data, AI, or platform engineering, feel free to say hi.