Freelancer profile translated to English.
Back to original languageAbout Jonathan
I transform data into truly actionable assets — integrating AI only when it creates a concrete advantage.
With 15 years of experience on critical data systems (public health, industry, demanding environments), I work across the entire data chain: from structuring foundations to deploying intelligent solutions.
Today, data engineering and AI are no longer separate topics.
I design architectures where data directly fuels intelligent uses: agents capable of acting, repositories searchable in natural language, systems designed to be used by both humans and models.
Specifically, I am involved in:
Designing robust and scalable data architectures
Creating reliable and usable pipelines
Structuring and governing critical data
Developing intelligent agents connected to business data
Rapid deployment, from prototype to operational system
I support:
Technical teams who want to move fast without compromising their architecture
Business departments looking for a contact person capable of transforming data challenges into concrete and actionable solutions
My goal is simple: produce useful, adopted, and sustainable systems — not demonstrators.
French
Native or bilingual
English
Conversational
Can work on-site
Paris (up to 30km)
Experience
- UMITEKAI & Data EngineerJanuary 2025 - Today (1 year and 7 months)AI-specialized consulting firmInternal project: Cloud Master Data HubTeam 3- Operational Cloud MDH Architecture: multi-source ingestion (ADF, ADLS Gen2, SQL Server), DATA governance, IaC Bicep - simplified POC for sales, put into staging in 1 month.- Autonomous LLM Agent with function calling (query_data, add_source, add_exposition): client-deployable solution (put into staging in 1 week)- Natural Language Text-to-SQL: immediate adoption without any prior SQL knowledge required from the userStack: Azure Data Factory | ADLS Gen2 | SQL Server Bicep | Python OpenAI API
- SUEZData EngineerApril 2018 - December 2025 (7 years and 8 months)Water & Environment Group+20,000 employees- 24/7 Client Cache: high-availability architecture (99.95% SLA) consumed by 12 business applicationsCritical DATA platform with 250,000+ calls/day0 major incidents over 3 years- MDM - 100+ critical repositories reliability: inter-application synchronization, 78% reduction in anomalies in 18 months- Cloud DMS: reliability and facilitation of business collaboration, scalable architecture - secure APIs- Talent'Up: HR data management (employee, career, skills repository), Agile managementStack: C# | .NET | SQL Server REST APIs Azure
- Ministère chargé de la SantéData EngineerApril 2012 - April 2018 (6 years)Paris, FranceInformation Systems DepartmentNational scopeTeam of 12 people for 300 employees- Industrialized ETL pipelines: supplying 4,000+ health facilities with strategic indicators — national standard- National nomenclature of establishments: uniqueness, consistency, and traceability of health data nationwideStack: SQL Server | T-SQL | C# | ASP.NET
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Education
- AI - LLM agents, function calling, multi-agent orchestrationIA - agents LLM, function calling, orchestration multi-agents
- IT Project Manager2011Chef de projet IT
Certifications
- Azure Fundamentals AZ-900Microsoft2024