EDF Renouvelables
AWS data engineering and architecture for solar parks. A long-running production engagement building reliable data systems in renewable energy, the backbone of operational reporting and analytics.
Selected work
Proof, not promises. A data-first track record across energy and regulated finance, plus the range to design, build, and ship entire platforms and products single-handedly, from messy real-world constraints to systems that are live, monitored, and yours to run.
A marketplace of certified sports coaches, designed, built, and hosted A→Z, solo.
TrainSphere is a two-sided marketplace connecting certified sports coaches with people looking for structured training. Thomas Baudry designed, built, and operates it end to end, from empty repository to a live, monitored, GDPR-compliant service. Coach trust is enforced by verification of credentials, business registration, and identity in the data layer.
Long-running, production-grade engagements in data-intensive, often regulated industries.
AWS data engineering and architecture for solar parks. A long-running production engagement building reliable data systems in renewable energy, the backbone of operational reporting and analytics.
Data Platform Engineer in an audited environment: migrated on-premise Oracle to AWS and batch pipelines to Airflow, and standardized pipeline and architecture patterns. Enabled around thirty data analysts on data-engineering best practices, and took part in the company’s Claude Code community of practice, driving day-to-day adoption. Also built an AI reviewer for merge requests, adopted company-wide, that returns a summary, actionable comments, and a change verdict.
Data engineering and architecture on AWS with end-to-end GDPR compliance. Measurable execution from pipeline design to production.
Production management and C#/SSIS development for credit business intelligence. Operational reliability in a finance environment.
A wider range: data platforms, AI apps, and automation. Each one shipped, not slideware.
Turns a LinkedIn export into business intelligence: multi-source enrichment, AI scoring, and a relationship graph (PostgreSQL, Neo4j, ChromaDB).
The same idea, fully local and free: privacy-first, on Ollama and pgvector with no costly cloud APIs.
A security-first multi-agent framework: 18+ specialized agents, 133 tests.
A social-content engine for TrainSphere: marketing-ops and cost engineering, with human-in-the-loop publishing.
Data platforms, full products, or AI enablement, as staff augmentation or a scoped deliverable. Tell me what you need running in production.
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