Pierre L.

I support organizations that want to reach the next level: better organize their data, industrialize their analytical uses, and integrate AI in a pragmatic, secure, and cost-controlled manner.

Senior Data Architect with over 15 years of experience, I combine business understanding and technical expertise to identify your KPI needs and functional challenges. From this dialogue, I design and deliver robust and scalable data platforms, from traditional DWH to modern Lakehouse.

I designed and built the DWH for a major optics company in France from scratch, a program of several thousand person-days deployed over 6 years.

Lakehouse / DWH design on Snowflake and Databricks. Modeling, pipelines, governance, migration from legacy systems.

Deployment of intelligent agents connected to your business data, in an on-premise environment via Ollama or via the APIs of the main LLMs on the market, depending on your performance, confidentiality, and cost constraints.

A particular focus is placed on GDPR issues, the protection of industrial secrets, and the control of data flows.

Design and configuration of end-to-end agent environments, particularly around the MCP protocol: data ingestion, vectorization, orchestration of tools and agents, access security, and then contextualized restitution of results to business users.

What differentiates me from a classic data engineer: a rigorous software culture (TDD, DDD, CI/CD, hexagonal architecture) for maintainable, tested, and documented deliverables.

We can collaborate on-site, within your functional and technical teams, in a hybrid or full remote manner.

Sectors: banking, insurance, retail, industry, anywhere data is a strategic asset.