Freelancer profile translated to English.

Description

Senior Cloud & Data Engineer | Expert GCP, Terraform, and Data Platform

Cloud & Data Engineer specializing in the design, industrialization, and governance of data platforms on Google Cloud Platform (GCP) and AWS, I assist companies in modernizing and making their data infrastructures reliable.

With several successful projects at EDF, L'Oréal, Bouygues, Crédit Agricole, and Fives, I am involved in the entire lifecycle of a Data Platform:

Architecture & Infrastructure as Code (Terraform, CI/CD GitLab)

Data Engineering (BigQuery, Airflow, Python, SQL)

Data Security & Governance (IAM, Dataplex, Data Quality)

Cost Automation and Optimization

Support and upskilling of business teams

My approach is both technical and pragmatic: delivering high-performing, maintainable, and secure solutions aligned with business needs.

I am currently available for Cloud & Data projects on GCP (platform design, migration, automation, data governance, etc.).

Main Stack: GCP, Terraform, Python, SQL, BigQuery, Airflow, Dataplex, Pub/Sub, GitLab CI/CD

Languages: French 🇫🇷 | English 🇬🇧

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Crédit Agricole (CAGIP)
Senior Devops Engineer
BANKING AND INSURANCE
May 2025 - Today (1 year and 3 months)
Paris, France
- Design, automate, and maintain cloud infrastructure using Terraform, applying Infrastructure as Code best practices.
- Setup and optimization of CI/CD pipelines on GitLab, to ensure reliable, fast, and secure deployments.
- Collaboration with development and operations teams to foster efficient continuous integration and constant improvement of delivery processes, in an agile and quality-oriented environment.
Terraform Python GitLab Google Cloud Terragrunt
EDF
Senior Cloud Engineer
ENERGY AND UTILITIES
October 2024 - April 2025 (6 months)
Nanterre, France
ACHIEVEMENTS:
• Development of Terraform modules for security management.
• Creation of a data governance module using Dataplex.
• Development of a data capture system between On-prem and BigQuery.
• Documentation of modules and tasks performed to ensure traceability and adoption.
Terraform Python Google Cloud SQL CI/CD Management
FIVES
Cloud Engineer
CIVIL ENGINEERING
July 2024 - September 2024 (2 months)
Paris, France
PROJECT
Migration of a data analysis solution from an on-premise infrastructure based on PowerBI and SharePoint to
the GCP cloud, aiming to optimize data processing performance and automate updates.
ACHIEVEMENTS
• Design of the GCP services architecture, aligned with best practices for performance and security.
• Development of data processing pipelines with Python, ensuring efficient data ingestion and transformation.
• Support and training of client teams on writing optimized SQL queries for BigQuery, focusing on performance improvement and cost reduction.
• Implementation of cloud infrastructure via Terraform, ensuring efficient and reproducible management of GCP resources.
TECHNICAL ENVIRONMENT
GCP S3NS, GCS, Bigquery, IAM, GKE autopilot, Terraform, Python, SQL
Terraform SQL Python Google Cloud BigQuery