Mustapha Fonsau

Innovation & Strategy: Bridged the gap between traditional Data Engineering and AI by creating RAG-ready metadata architectures, enabling natural language discovery of data assets and democratizing access for non-technical users.

Tech Stack: OpenMetadata, Python, GenAI/LLMs (Ollama, OpenAI), Airflow, Docker/Kubernetes, Data Contracts, AWS, Postgres, CI/CD, Prompt Engineering.

I guide them in defining and optimizing their data strategies, paying particular attention to establishing data governance that is robust, pragmatic, and tailored to their specific challenges. My expertise extends to the design and deployment of modern, scalable data platforms, essential foundations for fully exploiting data value and preparing for the future, particularly for becoming "AI ready".

My ultimate goal is to build, in partnership, solid and agile data foundations that not only meet today's requirements (quality, security, compliance) but also pave the way for tomorrow's innovations, enabling our clients to remain competitive in a constantly evolving world.

As part of a data model redesign project, a mission to map all SUPPLY data and associated processes. Missions:

• Based on the Enterprise Data Synopsis, map business objects.

• Create a business mapping for the data catalog (Assets).

• Support enterprise architects in conceptual application mapping. Achievements:

• Studied company processes to extract business objects.

• Mapped the link between processes and business objects.

• Worked on identifying attributes with supply referents.

• Mapped business and data quality rules with the DQ team (Palantir).

• Integrated data from HDATA (existing catalog).

• Installed and configured OpenMetadata on Kubernetes.

• Prepared domains on the new catalog (Finance, Commerce, Supply).

• Injected objects into the platform (glossary module).

• Worked on platform connectivity.