Freelancer profile translated to English.

Description

Data Engineer specializing in the design and industrialization of modern data platforms (Azure, Snowflake, dbt).

I help companies transform their data: multi-source ingestion (ERP, API), modeling, pipeline automation, and robust production deployment (Airflow, CI/CD).

My approach is production-oriented: reliable, monitored, and scalable pipelines, designed to last and support critical business needs.

I work on both refactoring legacy systems and setting up new data architectures, with a strong ability to simplify complex concepts and collaborate with business teams.

Main stack: Python, SQL, Snowflake, dbt, Airflow, Azure

Types of missions:

Data pipeline / ETL implementation

Data warehouse / data platform construction

Legacy system migration and modernization

Industrialization and monitoring of data flows

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 30km), Levallois-Perret (up to 10km), Puteaux (up to 10km), Neuilly-sur-Seine (up to 10km)

Linxens
DataOps / Data Engineer
December 2025 - Today (6 months)
92300 Levallois-Perret, France
Structuring and industrializing a data platform on Azure / Snowflake: multi-source ingestion (legacy), standardization of transformations via dbt, and API integration.
Transformation of legacy systems: supporting teams on the integration of new data flows and models, technical data / business support.
Development of data pipelines in Python and orchestration with Airflow: automation, monitoring, and CI/CD integration.
Python Snowflake Airflow Data Engineer SQL
Camondo consulting
Tech Lead / Data Engineer
June 2025 - November 2025 (5 months)
Neuilly-sur-Seine, France
• Supporting internal teams in the integration of new data flows and models, aligning with existing architectures.
• Designing educational projects and leading technical discussions to strengthen data engineering skills and improve development quality.
Pernod Ricard
Data / DevOps Engineer
November 2021 - November 2024 (3 years)
Paris, France
• Creation and automation of ETL flows (ADF, Databricks, Snowflake) with Azure DevOps (Python scripts, unit tests, CI/CD).
• Development of an internal Python library (Pandas, PySpark), aiming for readability, optimization, and reduction of technical debt.
• Trained and mentored 40+ data scientists & analysts in 15 countries on Python best practices and in-house tools.
• Refactoring SQL scripts to Python with Pandas and PySpark: cleaning, optimization, and debugging within ETL processes.
• Creation of Streamlit dashboards connected to Snowflake: self-service KPIs, quality control, and triggering industrialization refreshes.