Freelancer profile translated to English.

Description

Independent Data Engineer, I have been supporting data teams in fintech and banking for 10 years, from ingestion to business-facing models. My guiding principle: deliver data that is not only available, but also accurate and reliable.

My expertise:

Data pipelines: design and industrialization of batch and real-time flows (Spark/PySpark, BigQuery, Airflow, dbt), from prototype to production.

Data quality & reliability: implementation of automated checks and anomaly detection. At BPCE, the tool I designed scrutinizes over 1,000 indicator × dimension combinations at each closing and has intercepted a dozen major anomalies before publication to the business.

Performance & FinOps: SQL optimization, pre-aggregations, and clustering to reduce costs and processing times.

Standards & industrialization: testing, CI/CD, modeling, and governance (Terraform, Authorized Views) for long-term maintainable deliverables.

I have worked for Groupe BPCE (payment steering at the TB scale, 1,000+ internal Power BI users), Younited (modeling of the entire credit lifecycle), Société Générale (real-time Kafka/Spark streaming, +1 TB/day), and iGraal (migration of on-premise ETL to AWS).

Technical Stack:

Python · SQL · dbt · Spark/PySpark · BigQuery · Airflow · Terraform — on GCP and AWS.

I am also the creator and maintainer of MockSQL, an open-source tool for local unit testing for Data Engineers. A way to push further my conviction: ensure data reliability before production, not after.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Courbevoie (up to 50km)

Groupe BPCE
Senior Data Engineer
BANKING AND INSURANCE
September 2023 - Today (2 years and 10 months)
Charenton-le-Pont, France
• ● Modeling and production deployment of data in Spark / BigQuery for payment monitoring dashboards (1000+ users/month), with multi-entity data sharing
• ● Pipeline redesign → reduction of processing times and computing costs (-50%)
• ● Implementation of data sharing via authorized views (BigQuery) to delegate access management
• ● Development of an anomaly detection system (z-score) → improvement of data quality and reduction of incidents
• ● Development of attrition and deactivation detection algorithms (marketing, steering)
• ● Modeling under Microsoft Power BI and POC Power BI Copilot
BigQuery Google Cloud DBT Terraform Airflow
Younited
Senior Data Engineer
BANKING AND INSURANCE
March 2021 - September 2023 (2 years and 6 months)
Paris, France
• ● Development and production deployment of Spark / BigQuery pipelines covering the entire credit lifecycle
• ● Deployment of dbt for the Data Science team (CI/CD, Apache Airflow, onboarding) → adoption and reliability of pipelines
• ● Implementation of a data quality tool comparing production data and datamart → detection and correction of inconsistencies with significant business impact
• ● Redesign of historical data modeling via a configurable tool unifying several models
• ● Technical migration without regression (Spark 2 → 3, Airflow → Cloud Composer, Spark Streaming → Dataflow) → reduction of costs and pipeline reliability
• ● Contribution to Karadoc, an open-source data framework based on PySpark
Google Cloud Spark Terraform Airflow Gitlab CI/CD
iGraal
Senior Data Engineer
E-COMMERCE
January 2019 - March 2021 (2 years and 2 months)
Paris, France
🔹 Cloud Re-platforming: migration of historical on-premise ETL to a modern AWS stack (EMR, Athena, Glue).
🔹 Marketing Analytics: modeling and development on Spark for activity steering.
🔹 Development of a dbt-like framework for refactoring boilerplate code and implementing CI/CD
Google Cloud DBT Airflow Spark Gitlab CI/CD