Data Engineer Student @ SUPINFO Paris · I build end-to-end data pipelines — from ingestion to monitoring — using production-grade tools.
📍 Paris, France · 🌐 Portfolio · 📬 LinkedIn
Orchestration & Pipelines
Databases & Processing
Languages & Libraries
Infrastructure & DevOps
Monitoring & Visualization
Full ETL/ELT pipeline ingesting hourly temperatures for Paris via the open-meteo API.
Goal: automate weather data ingestion, store it in PostgreSQL, and monitor the pipeline in real time.
Dagster · PostgreSQL · Docker multi-stage · Prometheus · Grafana · pytest (7 tests)
✅ Event-driven sensor · Daily partitions · Real-time monitoring
End-to-end data pipeline with full GDPR anonymization on 1,000 customer transactions.
Goal: clean and anonymize e-commerce data, detect anomalies, and deliver a business dashboard.
Python · Apache NiFi · Power BI · IQR anomaly detection
✅ SHA-256 pseudonymization · 9 anomalies removed · 3-page dashboard · Total revenue: €2,526,440
End-to-end pipeline on NYC Yellow Taxi data (Jan–Mar 2024) joined with weather data.
Goal: analyze the impact of weather conditions on taxi trips at scale.
PySpark · dbt · Airflow · MinIO · PostgreSQL · Docker
✅ 5 dbt models · 25 tests · 2 Airflow DAGs
Analysis of 8.6 million Météo France records (1950–2024) across 8 departments.
Goal: visualize temperature trends in France over 74 years.
Python · PostgreSQL 15 · Metabase · Docker Compose
💼 Open to internship or work-study opportunities in Data Engineering — available from September 2026