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Yann LevavasseurYL

Yann Levavasseur

Data Engineer

600 €/jour
Lille, FR
8-15 ans

Délai de réponse moyen : 1h

À propos de Yann

Senior Data Platform Engineer specialized in designing and building modern data ecosystems on Azure and Databricks. I help organizations structure, scale, and industrialize their data platforms, from ingestion to serving, with a strong focus on performance, reliability, and governance.

With a solid DevOps culture, I implement Infrastructure as Code, CI/CD pipelines, and robust deployment strategies to ensure maintainable and production-ready systems. I also design API-driven architectures (FastAPI / GraphQL) to expose and integrate data seamlessly across business applications such as ERP and CRM.

I bring hands-on expertise in Databricks (Delta Lake, Delta Live Tables, Unity Catalog), Spark optimization, and end-to-end pipeline design, combined with strong experience in cloud transformation programs.

My approach is pragmatic: delivering scalable, secure, and business-aligned solutions while enabling teams through best practices and clear architecture.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Lille (jusqu’à 10 km), Paris (jusqu’à 10 km), Bruxelles (jusqu’à 10 km)

Expériences

  • Cerba research
    Data Engineer
    SECTEUR MÉDICAL
    juin 2025 - Aujourd'hui (1 an)
    Gand, Belgique
    Data Hub Architecture & Data Platform Engineering (Azure / Databricks)

    Led the design and implementation of a Data Hub platform aimed at collecting and serving data entirely through APIs, leveraging Databricks for scalable data modeling and transformations.

    Designed and deployed the full cloud architecture on Azure and Databricks using Infrastructure as Code (Terraform), ensuring secure-by-design principles and strong environment isolation.

    Developed and operated CI/CD pipelines in Azure DevOps using Databricks Asset Bundles to manage and deploy Delta Live Tables pipelines and Unity Catalog configurations in a controlled and auditable manner.

    Built and maintained Python-based APIs using FastAPI and Pydantic to enforce data contracts from ingestion through to the consolidated data model.

    Designed and implemented containerized services on Azure Container Apps, integrating secure authentication and ensuring compliance with sensitive data regulations (including strict access control, auditing, and credential management).

    Implemented a Databricks medallion architecture (Bronze/Silver/Gold) using Delta Lake and Delta Live Tables, along with fine-grained access control through Unity Catalog (catalog, schema, and table-level ACLs).
    Python Microsoft Azure Databricks Terraform Spark
  • Manorga
    Manager Data Lead Tech
    INDUSTRIE MATIÈRES PREMIÈRES
    octobre 2023 - mai 2025 (1 an et 7 mois)
    Lille, France
    Cloud Transformation & Data Platform Lead (Azure / Databricks)

    Led ManOrga’s migration to Microsoft Azure, designing and delivering a modern cloud platform from scratch. Built an end-to-end ecosystem combining a scalable Databricks Data Platform with a robust API layer enabling interoperability across ERP, CRM, and internal systems.

    Defined and implemented the Infrastructure as Code strategy (Terraform), provisioning all cloud resources to support key transformation programs (Business Central ERP, Dynamics CRM, greenfield Data Platform).

    Designed and deployed an Azure Data Platform using Databricks (Delta Lake, Delta Live Tables, Unity Catalog) with a medallion architecture (Bronze/Silver/Gold), ensuring strong governance, security, and scalability.

    Implemented end-to-end data pipelines (Azure Data Factory + Databricks), from ingestion to serving, with orchestration via Prefect.

    Built CI/CD pipelines (Azure DevOps / GitHub Actions) and leveraged Databricks Asset Bundles for reliable and auditable deployments.

    Optimized Spark workloads (partitioning, compaction, Z-ordering, autoscaling), improving performance and reducing costs. Administered Databricks environments (RBAC, cluster policies, job orchestration).

    Designed and developed API ecosystems (REST & GraphQL) using FastAPI and Strawberry, deployed on Azure Container Apps with secure authentication and API management.

    Supported ERP & CRM implementations through API-driven integrations, ensuring data consistency and alignment with business rules.

    Team Lead – Data & Services: architecture design, technical leadership, hands-on development, and team coordination.
    Databricks Microsoft Azure Python Docker Terraform
  • ADEO Services
    Data Engineer
    GRANDE DISTRIBUTION
    novembre 2020 - Aujourd'hui (5 ans et 7 mois)
    Lille, France
    - Elaboration et calcul des KPI des opérations commerciales
    - Mise à disposition et maintien de la qualité de la donnée
    - Développement d'application Python pour le traitement des données et requêtes BigQuery
    - Run sur plusieurs produits liés à la performance commerciale
    - Amélioration de la qualité d'architecture GCP (Terraform / optimisation requête BQ) Bigquery, Cloud Run, Firestore, Cloud logger Terraform, Github Action, Docker Python, Shell, Flask / FastAPI
    Python Big Query Terraform

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Formations

  • TOEIC, Anglais
    Université de Caen Normandie
    2018
    TOEIC, Anglais
  • Master 2 Décision et Optimisation, Intelligence artificielle, informatique
    Université de Caen Normandie
    2018
    Master 2 Décision et Optimisation, Intelligence artificielle, informatique

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