Freelancer profile translated to English.

Description

Senior Data Engineer | Data Development & Architecture | Azure – Python – Databricks

Passionate data engineer, I design and develop robust data pipelines to meet business needs in R&D, regulatory, or operations. My experience is based on concrete projects carried out from start to finish, in complex environments combining heterogeneous data, legacy formats, and quality challenges.

I primarily work with modern stacks: Azure, Databricks, Python, Spark, SQL, Docker, and I have implemented scalable cloud architectures for data collection, processing, and valorization. I also have a good command of Power BI for reporting, and I am actively interested in applied AI (forecasting, LLM, OCR).

I am involved in structuring raw data as well as migrating, qualifying, or deploying data flows, in conjunction with business teams. I am accustomed to documenting, training, and sharing best practices with internal teams.

My approach: get to the point, deliver concrete results, and make data truly useful to those who need it.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Envu
Senior Data Engineer
CHEMICAL
January 2026 - Today (7 months)
Lyon, France
- Lead document automation project for regulatory team
- Built AI agent to support R&D (microsoft agent framework)
- Migrate applications from power apps to databricks apps
- Go to person for any ETL/ELT or business to data project in R&D et regulatory
Envu (formerly Bayer ES)
Data Engineer
June 2023 - January 2026 (2 years and 7 months)
• Manage data engineering and science projects for innovation team, building data architecture for R&D and Regulatory teams.
• Connected external platform (LIMS, Veeva,Dotmatics) to Azure datalake with daily automated data pipelines. Leveraging Python, Spark, Rest API, SOAP API and building server side API during 1st year.
• Post-Carve-Out Migrations: Oversaw architecture design, consultant management, and data processing. Reviving stalled projects and saving months of work.With Synapse migration to Fabric&DBT and D365 to Veeva.
• ML & LLM Initiatives: Achieved 85% precision of prediction on bio/phyto industry data using advanced neural networks and language models.
• Recognized with company's 'Seize the Growth' award for driving innovation in data architecture.
Agilent Technologies
Field Service Engineer
September 2021 - November 2022 (1 year and 2 months)
Supported biotechnology/clinical instrumentation customers across EMEA regions. Cytometry and QC pre sequencing.