Freelancer profile translated to English.
Back to original languageAbout Michaël
💾 Data Engineer | BigQuery | GCP | Airflow | DBT
🔹 Data Engineer with 6 years of experience, I assist companies in the design, optimization, and industrialization of their data pipelines on GCP.
🔹 Technical Expertise
✅ ETL/ELT: Airflow, Dataflow, Cloud Run Jobs
✅ Storage & Modeling: BigQuery, DBT
✅ Quality & Monitoring: Soda Core, Dataform
✅ Development: Python, SQL, Bash
✅ CI/CD & DevOps: GitLab, Docker
🔹 My mission?
🚀 Automate and make your data flows reliable
📊 Structure your data warehouse for high-performance analysis
⚡ Optimize data ingestion and processing for greater efficiency
📩 Contact me and let's discuss your challenges!
French
Native or bilingual
Can work on-site
Paris (up to 50km), Rennes (up to 50km), Paris (up to 50km)
Experience
- Le Groupe BelSenior Data EngineerAGRICULTURESeptember 2025 - Today (9 months)- Design of data pipelines on GCP (BigQuery, GCS, Airflow)- Python development + orchestration with Apache Airflow- Containerization with Docker and Cloud Run deployment- CI/CD and infra as code with Terraform- BigQuery optimization (modeling, performance, costs)- DBT
- Groupe Le DuffData EngineerAGRICULTUREFebruary 2024 - September 2025 (1 year and 7 months)
- Context:
Modernization of the data infrastructure on GCP.- Objectives:
Implement automated and scalable data pipelines.Optimize ELT flows with Apache Airflow.Structure data modeling with DBT in BigQuery.- Achievements:
Development of Airflow workflows to orchestrate data ingestion, transformation, and loading.Creation of DBT models ensuring data quality, consistency, and traceability.BigQuery cost optimization:▸ Use of partitioned and clustered tables▸ Rewriting and tuning SQL queriesCollaboration with business teams to align data solutions with operational needs.- Stack:
GCP (BigQuery, Cloud Storage, Job Cloud Run) • Apache Airflow • DBT • Python • SQL • Docker • Git • CI/CD - AvisiaData EngineerOctober 2022 - February 2024 (1 year and 4 months)Nantes, France
- Context: Data Engineer SNCF G&C - Data Platform Team
- Key achievements:
Data ingestion into the Data Lake using Azure Data Factory (ADF) pipelines.Data processing with Databricks and PySpark.Creation of Power BI reports connected to optimized datasets.End-to-end monitoring and reliability of flows.- Stack: Azure (ADF, Databricks), PySpark, Python, Power BI
——————————————————————————————- Context: Data Engineer - In retail
- Key achievements:
Development of quality control pipelines in Dataiku DSS, with automation of validation rules and anomaly detection.On GCP, ingestion and orchestration of post-migration data processing via Airflow,BigQuery for large-scale checks.Building Looker dashboards to track deviations and compliance rates.Documentation of processes and implementation of regular monitoring of validation flows.- Stack: GCP (BigQuery, Cloud Storage, Cloud Functions), Dataiku DSS, Python
——————————————————————————————- Context: Data Engineer SNCF G&C - Data Marketing Team
- Key achievements:
Ingestion of external data via API for enrichment of customer datasets.Development of geospatial and marketing analyses.Automation of ingestion with ADF and visualization via Power BI.Industrialization of processing with Databricks and PySpark.- Stack: Azure (ADF, Databricks), PySpark, Python, API, Power BI
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Education
- Master 2 (M2), Statistics-EconometricsUniversité de Rennes I2018Master 2 (M2), Statistiques-économétrie
- L3 Mathematics - EconomicsUniversité de Rennes I2016L3 Mathématiques - Economie