Data Engineer at Owkin, Paris
Pipelines, data quality, and tabular datasets for research and ML teams.
Owkin, Data Engineer, Paris, 2025-present Biomedical real-world data.
- Transformation pipelines and tabular models
- Quality checks in Polars and Pointblank
- Datasets used by research and data science
re:mind, Data Engineer, Paris, 2023-2025 GTM and business analytics.
- Batch ingestion and Spark/Databricks jobs
- Turned notebooks into production Python
- KPI models for business decisions
Eviden, Research Engineer Intern, Bordeaux, 2023 HPC benchmarking: automated runs, profiling, CPU/memory/I/O bottlenecks. Python, C, Bash.
- airflow-dq-agent: Airflow 3 data-quality workflow. Deterministic checks, allow-listed remediation, HITL apply. The model never writes SQL.
- GeoSpatial-data-pipeline: Satellite scenes to a field-day table with polygon-masked NDVI. Python, DuckDB, Airflow. Runs locally:
uv sync && make run.
Python, SQL, PySpark, Databricks, Airflow, Polars, DuckDB, AWS, Docker
Engineer, Applied Mathematics, ENSEIRB-MATMECA
Astronomer, DAG Authoring for Apache Airflow 3