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Aminata Marietou GueyeAM

Aminata Marietou Gueye

Data & AI Solution Architect

€900/day
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Aminata Marietou

Solution Architect Data & AI with 10 years of experience, specializing in the Microsoft ecosystem. I assist companies in designing and deploying modern data architectures and generative artificial intelligence solutions.
My expertise covers the entire data chain: ingestion and governance (Azure Data Factory, Microsoft Fabric, Azure Synapse), processing and modeling (Databricks, medallion architecture, Lakehouse), up to the deployment of Gen AI solutions in production (Azure OpenAI, AI Foundry, agentic RAG, Copilot Studio).
Experienced in large enterprise environments (Le Creuset, Legrand, TotalEnergies, SAFT, Veolia), I handle end-to-end topics: North-Star architecture definition, technical leadership, Data Engineering team management, CI/CD standards, and quality.
Available for assignments in Paris and Île-de-France.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km)

Experience

  • Le Creuset
    Solution Architect
    January 2026 - Today (5 months)
    Paris, France
    Implementation of a unified Microsoft Fabric platform for consolidating Le Creuset group's global data.
    ▸ Design of multi-source data ingestion patterns: consolidation of several CRMs and ERPs from different client geographical areas.
    ▸ Definition of the Fabric architecture (Lakehouse, pipelines, OneLake) and modeling standards for the entire scope.
    ▸ Implementation of the MVP as Solution Architect: from design to delivery of the first version in production.
  • Legrand
    Tech Lead & SPOC Data Factory
    February 2025 - Today (1 year and 4 months)
    Paris, France
    Tech Lead and single point of contact (SPOC) for the Legrand Data Factory — global scope, Azure + Qlik Talend stack.
    ▸ Main technical contact for Legrand: arbitration and facilitation between Accenture and client teams for all data requests.
    ▸ Understanding and challenging the overall data architecture; defining development standards at the factory scale.
    ▸ Quality assurance: code reviews, compliance with standards, control of technical team deliverables.
    ▸ Leadership of the technical improvement plan (Azure and Qlik Talend upskilling); creation of reusable assets and templates.
    ▸ Contribution to technical project solutions; deployment and operational maintenance support.
  • SAFT
    Data & AI Architect — Tech Lead
    December 2024 - January 2026 (1 year and 1 month)
    Paris, France
    End-to-end architecture and delivery of Data & AI products on Azure for this industrial battery manufacturer.
    ▸ Design of a complete agentic GenAI architecture: specialized agents, Semantic Kernel orchestrator, RAG pipeline with Azure AI Search and AI Foundry.
    ▸ Definition of the North-Star architecture and roadmap — integrating governance, security, FinOps, and Responsible AI from the design phase.
    ▸ RAG evaluation metrics (fidelity, relevance, groundedness), production monitoring, continuous improvement loops.
    ▸ Leadership of AI, DevOps, and InfraAsCode teams; code reviews, quality standards, and CI/CD practices.

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Education

  • DP-700 Fabric Data Engineer
    DP-700 Fabric Data Engineer
  • DP-600 Fabric Analytics Engineer
    DP-600 Fabric Analytics Engineer

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