Description

I am an engineer with 10+ years of experience in Data Engineering, Analytics and Software Development. I help teams build data platforms and products running on them. I bring strong organizational, prioritization, and communication skills. I favor simple, pragmatic solutions.

Highlights of my work:

- Led the Data Engineering team at a fast-growing scale-up.

- Served as Staff Analytics Engineer: defined standards while mentoring and training the team.

- Scaled a data platform to support a team growing from 5 to 30 people.

- Built, migrated and maintained data pipelines, microservices and web applications.

- Developed a scoring algorithm for a marketplace search engine.

Domaines d’expertise

Langues

Français
Bilingue ou natif
Anglais
Capacité professionnelle complète

Préférences en matière de lieu de travail

En télétravail uniquement

Travaille majoritairement à distance

Kinéis
Data Engineer
TÉLÉCOMMUNICATIONS
février 2024 - Aujourd'hui (2 ans et 4 mois)
Toulouse, France
- Designed and implemented end-to-end pipelines, from data sources to dashboards, to support the evaluation and monitoring of a newly launched satellite constellation.
- Built web applications to visualize custom graphs and geospatial maps.
- Diagnosed and resolved critical performance bottlenecks in embedded and database systems, ensuring data quality and availability.
TimescaleDB Prefect Superset Streamlit Python
Allianz Technology
Data Engineer
BANQUE & ASSURANCES
janvier 2023 - août 2023 (7 mois)
Paris, France
- Developed components of a feature store with access control for data science teams.
- Resolved performance bottlenecks in Spark workflows, significantly improving speed.
FastAPI Amazon Web Services DevOps Gitlab CI/CD Spark
Payfit
Lead Data Engineer
EDITION DE LOGICIELS
janvier 2022 - octobre 2022 (9 mois)
Paris, France
- Served as interim Engineering Manager and recruited a permanent successor.
- Coordinated communication between the data team, technical teams, and senior management.
- Simplified the data platform (decommissioning, monitoring, documentation), significantly reducing incident workload and increasing the team’s delivery capacity.
Management d'équipe Simplification des processus Intégrité et gouvernance des données Python Amazon Web Services