Freelancer profile translated to English.

Description

I support companies in designing GCP cloud architectures and migrating to Google Cloud, particularly for critical data platforms. I have advanced mastery of BigQuery (modeling, performance, governance, best practices) and I work on cost optimization projects, with measured reductions of over 40% on the BigQuery bill. I acquired this expertise within large groups in the luxury, cosmetics, and mass retail sectors, on high-volume and high-business-stakes environments. My approach is based on robust architectures, Infrastructure as Code (Terraform), and DevOps and FinOps best practices, in order to guarantee high-performing, secure, and long-term controlled platforms.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

LuckyCart
Cloud Data Engineer – GCP / FinOps BigQuery
RETAIL (LARGE RETAILERS)
July 2025 - Today (1 year and 1 month)
Paris, France
- Optimization of the BigQuery analytical architecture and dbt workflows to reduce costs and improve performance
- Design and deployment of daily cost monitoring dashboards (BigQuery + Looker), integrated with FinOps monitoring and governance pipelines
- Analysis, simulation, and implementation of BigQuery reservations to better control consumption, smooth usage, and optimize cost/performance ratio
- Redesign of the calculation model and optimization of dbt queries, including partitioning, clustering, and SQL best practices
- Measured result: 40% reduction in BigQuery costs, while improving the stability and response times of analytical processes
Big Query Google Kubernetes Engine (GKE) Google Cloud Platform (GCP) Terraform DBT
Galeries Lafayette
Cloud Data Engineer – GCP
LUXURY GOODS
September 2022 - June 2025 (2 years and 9 months)
Paris, France
- Design, development, and optimization of data pipelines on Google Cloud (GCP), using Cloud Storage, Pub/Sub, BigQuery, and Cloud Run, in high-volume environments
- Data modeling and transformation with dbt and Airflow, as part of migrating an internal (home-made) solution to dbt, improving maintainability and data quality
- Deployment, industrialization, and maintenance of IaC (Terraform), integrated into CI/CD pipelines to ensure reproducible and secure environments
- Implementation of a data audit, monitoring, and tracking system (Cloud Logging, technical and functional metrics) to improve the observability and reliability of processes
- Technical mentoring of the data team and close collaboration with business teams in an Agile SAFe framework
Terraform Google Cloud Run Google Cloud Platform (GCP) Big Query Google Kubernetes Engine (GKE)
Yves Rocher
Cloud Data Engineer – GCP
FASHION AND COSMETICS
September 2021 - August 2022 (11 months)
Issy-les-Moulineaux, France
- Operational monitoring (RUN) and incident management for data pipelines in production
- Development and optimization of data processing pipelines, improving the performance and quality of data flows
- Contribution to technological watch and the evolution of architecture and tools used
Cloud Architecture Data Engineering Python Big Query Google Cloud Run