Ernest Rouyrre

Data Engineer specializing in data structuring and automation for SMEs and mid-cap companies. I transform scattered, inconsistent, or manually processed data (Excel, multiple exports, heterogeneous formats) into reliable and usable pipelines for decision-making.

My method: rapid audit of your data sources, design of a suitable pipeline (cleaning, quality controls, structuring), and implementation of automated orchestration so that processing runs without manual intervention.

Main stack: Python (Pandas), SQL, DuckDB, Prefect. I notably designed a bank transaction processing pipeline based on a Medallion architecture (Bronze/Silver/Gold), with an anomaly detection system and automated orchestration — available on my GitHub.

Training in Artificial Intelligence (ETNA) and experience in applied Data Science (V-Biotech), where I designed a pipeline processing 15,000 pages/day.

Available now, I am listening to your needs for an initial discussion.