Freelancer profile translated to English.
Back to original languageAbout Thomas
Data & Analytics Engineer with an engineering background (CPGE MP* / Data-IA).
After a career in critical infrastructures, I now help startups and SMEs structure their data, clean their technical debt, and implement modern architectures. My approach is pragmatic: no over-engineering, I focus on pipeline robustness and computation cost optimization.
What I do on assignments:
Modern Data Stack & Analytics: Redesign of legacy architectures around dbt and BigQuery (GCP). Transitioning from full models to incremental logic to reduce scanned data volumes.
Pipelines & Orchestration: Development of ETL/ELT flows in Python and automation with Airflow or Prefect.
Complex Data & Volume: Taking over existing systems, migrating sensitive databases (PostgreSQL dumps of 100 to 200 GB per database).
Applied AI: Industrializing LLMs in batch (Vertex AI / Gemini 3.0 Flash preview) for processing large volumes (e.g., classifying 70k+ products with -50% token costs).
My background:
Freelance (Livetrend - Since January 2026): Redesign of the data platform to dbt/BigQuery, optimization of query costs, evolution of dashboards (Luzmo), and integration of batch AI pipelines.
Permanent contract (Padoa - 2.5 years): Data Engineer in HealthTech working with highly sensitive data. End-to-end management of massive migrations (PostgreSQL, Azure Blob Storage), automation (Airflow, Argo), and technical guidance of a small team.
Main technical stack:
dbt, BigQuery, GCP, Vertex AI, Gemini, Python, SQL, Airflow, Argo Workflows, PostgreSQL, Azure Blob Storage, Docker, GitHub Actions.
Availability:
100% remote only. Available for short assignments (audits, scoping) or long-term build projects.
Feel free to contact me to discuss your data projects.
French
Native or bilingual
English
Fluent
Remote only
Primarily works remotely
Experience
- LivetrendData & Analytics Engineer atFASHION AND COSMETICSJanuary 2026 - Today (5 months)Paris, France• Redesigned the legacy data platform to a modern stack (dbt, BigQuery) to reduce technical debt.• Optimized SQL pipelines and implemented incremental logic to reduce scanned data volumes.• Industrialized a batch AI pipeline with Vertex AI (Gemini 3.0 Flash preview) to classify 70k+ products (-50% token costs).• Evolved Luzmo dashboards for operational analysis.
- EI Thomas LépineData & Analytics Engineer FreelanceSOFTWARE PUBLISHINGAugust 2025 - December 2025 (4 months)Paris, FranceAssisting startups and SMEs with their architecture, modeling, and data engineering challenges.Consulting & Scoping:• Scoping target data architectures and auditing existing pipelines for early-stage startups.• Developing POCs for integrating LLMs into data flows.
- padoaData EngineerHEALTH AND WELLNESSFebruary 2023 - May 2025 (2 years and 3 months)Paris, France
- Migration and integration of client data from various legacy software (PSQL extraction, Python transformation and loading)
- Development and management of Python ETL pipelines for processing and analyzing medical data
- Automation of integration processes with Airflow and optimization of data flow performance
- Client relations: regular meetings, travel, and technical explanation to ensure smooth deployment
- Management of GitHub repositories to structure and automate data workflows (Argo)
- Project monitoring, task organization with Notion, and management of a small team
- Conducting interviews for junior/experienced profiles
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Education
- Engineering Degree, Data Science and Artificial IntelligenceTélécom Physique Strasbourg2022
- Master 2 Data Science and Complex SystemsUniversité de Strasbourg2022