Analytics, BI & self-service BI
Power BI since 2017 (modelling, DAX/M, Embedded), self-service BI rollouts at scale, data governance (glossaries, data stewards, quality), Denodo, Collibra.
Senior Data & AI Engineer
PierreGéraud
From business need to production: data engineering, governance and generative AI for business teams.
Clients & employers
- Chanel
- Safran Electronics & Defense
- Enedis
- Crédit Agricole
- Studio TF1
- OECD
- Chereau
- SOBEGI
- NIJI
- BlueKanGo
Profile
Graduate engineer (ISEN / Université de Sherbrooke) with 8 years of experience in data and AI, from my first Power BI dashboards at Safran to today's data platforms and AI assistants. I work on three themes: analytics and self-service BI (Power BI, governance, adoption, training), data architecture (Microsoft Fabric, medallion architecture, industrialised pipelines) and generative and agentic AI (LLM, RAG, Microsoft Foundry, ex-Azure AI Foundry). I scope and lead projects from business need to production, and I train teams so that solutions are actually used. Starting out in defence (Safran Electronics & Defense) gave me a taste for rigour, traceability and data quality. Consulting then exposed me to a wide range of sectors and contexts (luxury, energy, banking, media, industry): it has given me perspective, the ability to grasp a new business quickly, and the habit of carrying what has proven its worth from one client to the next.
Expertise
Data architecture
Target platform design (Microsoft Fabric, lakehouse, medallion architecture, data mesh), cloud and big data sizing, ETL/ELT pipelines (Azure Data Factory, Talend), structured and unstructured data modelling.
Agentic AI & GenAI
AI agents, conversational analytics, LLM & RAG (Microsoft Foundry, Azure OpenAI, Azure AI Search), vector embeddings, model benchmarking and relevance evaluation.
Project management, methods & training
Delivery management (Scrum/Agile, V-model), functional and technical scoping, product ownership, Lean Six Sigma Green Belt, change management, designing and delivering training.
Technical expertise
Tap a tool to see the roles where I used it.
Experience
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Area
5 of 15 roles · Highlights
- – presentParis / HybridCurrentHighlight
Chanel (Fragrance & Beauty)
Data Tech Lead — SAP BW to Microsoft Fabric migration
Migration of the SAP BW business intelligence platform to Microsoft Fabric: more than 200 data flows to migrate.
- Defined the target architecture and the architecture strategy on Microsoft Fabric.
- Developed metadata-driven data copy pipelines.
- Implemented monitoring for data flows and the platform.
- Industrialised development methods and set up CI/CD.
Stack - – RennesHighlight
AVEM (Crédit Agricole)
Senior Data & Governance Consultant
Led the strategic roadmap for rolling out self-service BI and data governance.
- Defined the technical architecture; integrated and enriched data on the target platform.
- Set up operational governance: roles (Data Stewards / Owners), business glossary and data quality controls.
- Co-built the priority BI and analytics MVPs with business departments.
- Change management: training paths, user coaching and steering committee facilitation.
Stack - – Pau / Hybrid
SOBEGI
Data & Analytics Tech Lead
Built a business intelligence and financial reporting solution for a major industrial company.
- Strategic scoping, integration and hardening of multi-source data (SAGE ERP / CARL CMMS via Talend ETL).
- Modelled and structured a single source of truth for the executive committee to steer OPEX / CAPEX budgets.
Stack - – Avranches / Hybrid
Chereau
Senior Data & Big Data Architecture Consultant
Data-as-a-Service (DaaS) platform for fleet IoT and telematics data.
- Audited the existing BI architecture (Qlik / SAP) and ran a gap analysis.
- Data volume assessments and capacity sizing on cloud / big data architectures (Microsoft Fabric, Apache Spark).
- Defined the target scenarios and the integration roadmap for complex IoT data.
Stack - – Paris / Hybrid
Studio TF1
Data Engineering Tech Lead
Full redesign of data ingestion and integration pipelines on Azure.
- Defined the data pipeline architecture and modelled the target databases.
- Developed, versioned (Git) and orchestrated ingestion and transformation flows in Azure Data Factory.
Stack - – Rennes
AVEM (Crédit Agricole)
Data Consultant — Self-service BI roadmap
Scoped and delivered a roadmap for rolling out self-service BI across all of AVEM’s business lines.
- Needs-gathering workshops with business lines: pain points, stakes and objectives.
- Mapped data, BI use cases and tools.
- Benchmarked candidate technology solutions for the target platform.
- Defined processes, methods, organisation and change management.
- Delivered the implementation and rollout roadmap for tools and processes.
Stack - – RennesHighlight
NIJI
Data Project Manager & AI Lead (RAG / LLM)
AI assistant supporting training, built on unstructured text data.
- Business scoping, choice of AI components and evaluation of reference datasets.
- Designed and implemented a RAG architecture with vector embeddings and semantic search.
- Defined test protocols, benchmarked answer relevance and tuned prompts and embeddings.
- Production deployment on Microsoft Azure cloud infrastructure.
Stack - – Paris / International
OECD (NEA)
Project Manager & Data Analytics Tech Lead
Scientific analytics reporting platform with strict precision requirements.
- Report for the OECD Nuclear Energy Agency (NEA): high-stakes, international project with demanding visual requirements.
- Scoping workshops and identification of technical solutions.
- Development of custom visuals and the Power BI report.
- Project follow-up.
Stack - – Rennes
NIJI
Project Manager & AI / Full-stack Developer
Carbon Lootbox: carbon footprint assessment with AI recommendation engines.
- End-to-end design, architecture and development of an internal app tracking the carbon footprint of projects (calculations, visualisation, AI recommendations, user and role management).
- Technical choices and software architecture.
- Backend (API, database, calculations, Azure OpenAI agent) and frontend (UI, visualisations) development.
- Set up deployment environments and CI/CD pipelines.
Stack - – presentNationwide / RennesCurrentHighlight
Enedis (DDIN)
Senior Data Consultant & Trainer
Bring the national data community together, harmonise engineering practices and train teams.
- Scoped the national rollout of the BI platform (cyber defence, GDPR, data mesh, governance).
- Designed and delivered technical training (Power BI, Denodo, Dataiku).
- Ran the data community (800+ people: datathons, seminars) and streamlined use-case libraries.
Stack - –
GRTgaz
Data Consultant
Portfolio steering solution for an IT department unit and migration of an Access database to a new repository.
- Process mapping.
- Set up a project in Jira.
- Built a Power BI dashboard.
- User support and training.
Stack - –
Asur Plantbreeding
Data Consultant
Power BI rollout in an agronomy-sector SME.
- Trained teams on Power BI.
- Modelled data from the various information systems (ERP, finance, management).
- Deployed Power BI: licences, service administration, gateway installation.
- Built dataflows, datamarts and reports.
Stack - – Brittany
Enedis (Brittany Regional Directorate)
Data Consultant
Reorganisation of work methods and tools across several agencies: KPIs and dashboards, business process automation, user support and data culture.
- Scoped needs with the business; identified data sources across information systems and databases.
- Ran POCs to prove feasibility and validate compliance with user requirements.
- Designed and built Power BI dashboards; developed UiPath robots.
- Project follow-up, scoping, training and testing workshops with key users; delivered Power BI training.
Stack - – Rennes
BlueKanGo
Business Intelligence & Data Engineer (PO / Lead)
Redesigned the data architecture at a SaaS publisher in health, safety and CSR. Managed data engineers.
- Implemented Power BI Embedded in the SaaS product, migrating from a legacy stack (Java ETL, MySQL DWH, BIRT).
- Built a custom BlueKanGo connector for Power BI; wrote specs and user stories for REST API integration.
- Designed and built Power BI reports: requirements analysis, development, project follow-up (POC, Build, Run).
- Pre-sales and data advocacy: product demos for prospects, building an internal data culture, Power BI trainer.
Stack - – Fougères (35)Highlight
Safran Electronics & Defense
Data Analyst Engineer & Product Manager (Defence)
Industrialisation of highly sensitive defence electronics (optronics, airborne sights, drones).
- Processed and analysed complex industrial data: Power BI dashboards, SAP and Python / C# / VBA tooling.
- Managed industrial projects requiring strict traceability, data security and a Lean Six Sigma approach (Green Belt).
Stack
Certifications & education
Certifications
- MicrosoftFabric Data Engineer Associate2025
- MicrosoftFabric Analytics Engineer Associate2025
- MicrosoftPower BI Data Analyst Associate2024
- AgileCertified Product Owner & Scrum Master
- QualityLean Six Sigma Green Belt
- DenodoCertified Architect Associate
- DataikuMLOps Practitioner
- CollibraData Steward
- GoogleLooker
Education
- Micro-programme in applied sciences2019 – 2020Computer engineering & project management · Université de Sherbrooke (Québec, Canada)
- Engineering degree (work-study)2017 – 2020Digital & electrical systems · ISEN
- DUT GEII2015 – 2017Electrical engineering & industrial computing · IUT de Rennes
Languages
French
Native
English
Fluent · TOEIC 940 / 990
Spanish
Intermediate
Contact
Let's talk about your next data & AI project.
The easiest way to reach me is by email or on LinkedIn.