Freelancer profile translated to English.
Back to original languageAbout Thomas
Data Engineer Python | SQL | Analytics Engineer
What if your data could become a real lever for impact, not a source of doubt?
I help tech-for-good startups to make their data reliable to amplify their social and environmental impact.
I am Thomas, a Data Engineer for over 5 years.
Is your data scattered across five tools and no one knows which one to trust?
Do you need to prove your impact, but the figures take three days to come out?
Do you want to automate, but every reporting is still done manually?
You are in the right place.
Specifically, I have supported as a freelancer:
- Quantification of flood risk for insurance companies. I designed a pipeline covering the whole of France from multiple sources. Collection time reduced from 10 hours to 1 hour. The visualizations created for the R&D team helped identify 2 bottlenecks that skewed the results.
- At covoiturage.beta.gouv, I analyze carpooling data and measure the effectiveness of incentive campaigns for local authorities, so they know, with supporting figures, whether their investments are paying off. I showed that less than 3% of trips compete with public transport.
I can help you with the automation of your data processes:
- Audit of the existing situation
- Collection of data from different sources
- Verification of data accuracy
- Construction of data warehouses and dashboards
In my free time, I volunteer on Data for Good projects such as potential solaire and OD&IS.
Need a data engineer or a dbt analytics engineer?
📩 Contact me today!
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Python, SQL, Git, CI/CD, Docker, Airflow, dbt, Duckdb, PostgreSQL, geospatial, GIS, SIG, DBT, ETL/ELT, Analytics Engineer, GCP, Google Cloud, Big Query, Bash, DuckDB, Datawarehouse, Data Warehousing, Data Modeling, dlt, Data Engineer, Analytics Engineer, Data Engineer Python, Analytics Engineer dbt
French
Native or bilingual
English
Fluent
Japanese
Conversational
German
Basic
Can work on-site
Lyon (up to 50km), Paris (up to 50km), Lille (up to 50km), Marseille (up to 50km), Bordeaux (up to 50km)
Experience
- Worldskills FranceData Engineer | Python | SQLCIVIC AND SOCIAL ORGANIZATIONSMarch 2026 - Today (5 months)Lyon, FranceModernization of the data IS and industrialization of BI - Data Engineer Python | Analytics Engineer dbt assignmentBuilt an automated daily data collection and update pipeline (PostgreSQL, dbt, n8n) from multiple business toolsDeveloped financial dashboards and indicators, with automatic anomaly detection according to business rules. Reporting that used to take several days is now updated daily.Python · SQL · PostgreSQL · dbt · Metabase · n8n · database management · git · CI/CD · dlt - Data Engineer Python - Analytics Engineer dbt
- Beta.GouvData Engineer Python | SQL | Analytics EngineerPUBLIC SECTORSeptember 2025 - Today (11 months)Lyon, FranceThe state startup Covoiturage (Carpooling) assists local authorities, employers, and decision-makers in promoting short-distance carpooling. Among its services, the startup acts as a trusted third party for collecting and processing carpooling proof.Measurement of the impact of sustainable mobility policiesGathered needs from local authorities (AOM) and translated their questions into analyses and indicators, demonstrating the complementarity between carpooling and public transport and securing their investment decisions.Ensured the reliability of incentive data: quality controls, detection of double counting between operators, and resolution of trip attribution between territories.Modeled geospatial analyses combining trips, territorial perimeters, and incentive policies.Automation of analysis report production - production time went from several days to less than one day.Python · SQL · PostgreSQL · DuckDB · dbt · Metabase · ETL/ELT · geospatial analysis · git · public speaking Data Engineer Python - Analytics Engineer dbt
- ÆGIRData Engineer Python | SQL | Analytics EngineerENVIRONMENTALMarch 2025 - July 2025 (4 months)Lyon, FranceData Engineer Python Assignment→ Assignment Objective:Automate the collection and analysis of geospatial and meteorological data to optimize flood risk forecasting at the national level.→ Achievements:Designed an ELT pipeline covering the entire French territory, integrating heterogeneous sources to feed risk simulations, reducing collection and transformation time from ~10 hours to 1 hour.Developed quality control visualizations for developers and the R&D director, allowing the identification of 2 bottlenecks that skewed simulation results.Prepared and structured geospatial data serving as the foundation for damage estimations for insurers.Wrote documentation and designed the target architecture.Implemented intelligent scraping (Selenium**, **BeautifulSoup) to enrich datasets.→ Technical Stack:Python, Airflow, dlt, dbt, PostgreSQL, PostGIS, DuckDB, BeautifulSoup, Selenium, HDBScan, Data Engineer Python, Analytics Engineer dbt
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Education
- PhD in High Energy PhysicsSorbonne UniversityDoctorat en Physique des Hautes Énergies
Certifications
- PhDSorbonne University2022
- GDPR, AI Ethics and AI ActDataScientest