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Description

- Translate complex data into impactful insights

- Build scalable and reliable data pipelines with robust governance

- Empower cross-functional teams with actionable dashboards

Technologies: GCP, BigQuery, SQL, DBT, Looker, Python, PowerBI

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 20km)

BNP Paribas (Nickel)
Data engineer
January 2026 - May 2026 (4 months)
Context: Securing the dbt architecture and redesigning pipelines in the face of critical data mutations.

Missions:
- Piloting the impact audit (Shadow Testing) on a massive DAG of +2400 models
- Deploying backward compatibility strategies via dbt versions and data contracts
- Structural redesign of the Staging layer and isolation of technical debt

Results:
- Zero production incidents during the switch of major schema changes
- Successful migration and redesign of +200 models
- Drastic optimization of BigQuery compute time and costs via layer refactoring
GCP BigQuery SQL Python DBT
Google Cloud Platform (GCP) Python
OPTEAMIS
Data engineer
DIGITAL AND IT
February 2024 - July 2025 (1 year and 5 months)
Paris, France
Context: Redesign of the data architecture and automation of business reporting.

Missions:
- Autonomous project management & Business interface
- Migrations OLTP to GCP BigQuery and Cloud Storage
- Automation of Looker and Google Sheets reports
- Responsible for GCP infrastructure and model optimization

Results:
- Unification of +180 tables into a single source of truth
- -80% Time-to-Insight via elimination of manual processes
- New key insights unlocked for the business
Cloud GCP BigQuery SQL Python DBT
Métropole du Grand Paris
Data engineer
PUBLIC SECTOR
September 2021 - December 2023 (2 years and 3 months)
Paris, France
Context: Design of data pipelines for the public sector, ensuring the quality of strategic datasets.

Missions:
- Piloting the Data Strategy & Alignment of business stakeholders
- Architecture of a centralized & robust data foundation
- Industrialization of heterogeneous ingestion flows

Results:
- Federation of 10+ business units into a centralized foundation
- Sustainability of the Data heritage & End of manual processing
- Adoption of steering tools by Senior Management
SQL PowerBI Python API PostgreSQL