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Back to original languageAbout Ange
Looking for a Senior Data Engineer to industrialize your large-scale pipelines, revamp your data platform on Databricks, or integrate generative AI into your workflows?
Graduated Engineer from Mines-Télécom (ENSSAT Lannion), with 8 years of experience in Data Engineering. I have worked for AXA France, Danone, Afflelou, STIME (Mousquetaires), CNP Assurances, and Fludia. Tech Lead for 3 years, certified Databricks Professional Data Engineer, Azure Data Engineer Associate (DP-203), and Databricks Spark 3.0.
I can assist you with:
• Industrialized ETL / ELT pipelines on Databricks and Apache Spark (PySpark, Spark SQL).
• Medallion Architecture Lakehouse (Bronze / Silver / Gold), Delta Lake, Unity Catalog.
• Advanced Spark optimization: partitioning, joins, skew management, memory tuning.
• CI/CD on Azure DevOps, GitHub Actions, Databricks Repos, dbx.
• Azure and AWS cloud architecture, FinOps approach.
• Generative AI integration to improve productivity.
• Technical leadership: code review, scoping, upskilling juniors.
Track record:
- Revamp of the Afflelou Group's Azure data platform: -30% cloud costs.
- Multi-language NLP platform at Danone: 50,000 HR verbatim per month across 15+ languages.
- Modernization of critical accounting flows at AXA: -20% processing time.
- STIME AI Coding Stack: Claude Code skills and prompts to accelerate data onboarding and delivery.
Stack: Databricks, PySpark, Apache Spark, Delta Lake, Unity Catalog, Lakehouse, Medallion, Python, SQL. Azure (ADF, Synapse, ADLS Gen2, Event Hubs, Stream Analytics, Key Vault, Azure DevOps, Azure OpenAI). AWS (S3, EMR, Glue, Lambda, Step Functions, Athena). Apache Kafka, Airflow, Stonebranch, GitHub Actions, Docker. MLflow, scikit-learn, TensorFlow, Hugging Face, NLP, LLM. Power BI, DAX. Agile, Scrum, Tech Lead, FinOps.
Let's discuss your project: contact me directly via Malt.
French
Native or bilingual
English
Fluent
Spanish
Basic
Can work on-site
Paris (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km), Marseille (up to 50km), Nantes (up to 50km)
Experience
- Stime DSI Groupement Les MousquetairesSenior Azure Data EngineerRETAIL (LARGE RETAILERS)September 2024 - February 2025 (5 months)Châtillon, FranceSTIME is the IT subsidiary of the Les Mousquetaires Group (Intermarché, Bricomarché, Netto), with over 1,000 employees supporting 4,000+ stores in Europe.I joined the Data Engineering team for the strategic Da Vinci project, with two objectives: industrializing data structuring for business teams, and setting up Power BI KPIs for store managers.Within an Agile team of 10 people (3 POs, 1 Scrum Master, 3 Data Analysts, 1 QA, 2 Data Engineers), I lead the Azure / Databricks data architecture and mentor junior Data Engineers.Responsibilities:• Design and development of ETL/ELT pipelines on Azure Data Factory and Azure Databricks.• Lakehouse architecture following the Medallion approach (Bronze/Silver/Gold) with Delta Lake.• Advanced Spark optimization of PySpark workloads: partitioning, joins, skew, memory tuning, cache.• Implementation of PySpark code standards and best practices.• Production monitoring and support via Azure Log Analytics and Azure Monitor.• Code review and pull request validation on Azure DevOps, technical mentoring of juniors.• Development of Claude Code skills to accelerate onboarding, JIRA ticket processing, and documentation.Results:• -35% pipeline processing time thanks to Spark optimization.• -30% on Azure infrastructure costs (FinOps).• Upskilling of the team on Databricks and PySpark.Stack: Azure Databricks, Databricks Notebooks, Delta Lake, Lakehouse, Medallion, PySpark, Apache Spark, Spark SQL, Python, Azure Data Factory, ADLS Gen2, Azure Monitor, Azure Log Analytics, Azure SQL, Azure DevOps, CI/CD, FinOps, Power BI, ETL/ELT, Data Warehouse, Claude Code, AI Coding, JIRA, Confluence, Data Galaxy, Tech Lead, Code Review, Agile, Scrum.
- AXA FranceSenior Data EngineerBANKING AND INSURANCEFebruary 2024 - September 2024 (7 months)Nanterre, FranceAXA France is a global insurance leader with over 150,000 employees in 50+ countries and several billion euros in revenue.I joined the Data guild (40+ engineers) on a strategic project to modernize critical accounting data flows and ensure the reliability of large-volume financial reporting. Close collaboration with Finance and IT teams on the Azure and Apache Spark ecosystem.Responsibilities:• Use and optimization of Carbon (AXA's proprietary framework based on Apache Spark) for accounting data ingestion and transformation.• Design and implementation of ETL/ELT pipelines on Azure Data Factory and Azure Databricks.• Lakehouse architecture following the Medallion approach (Bronze/Silver/Gold) with Delta Lake on ADLS Gen2, implemented via Carbon.• Implementation of event-driven workflows between Apache Kafka, Azure Event Hubs, and Databricks.• Advanced Spark optimization: memory reduction, parallelization, partitioning, joins.• Automation of deployments via Azure DevOps (CI/CD).• Monitoring of production pipelines via Azure Monitor.• Standardization of Spark development practices within the Data guild.• Training accounting teams on new data sources.Results:• -20% financial data processing time.• -35% infrastructure costs thanks to Spark optimization (FinOps).• Standardization of Spark practices adopted by the entire Data guild.Stack: Azure Databricks, PySpark, Apache Spark, Spark SQL, Carbon, Delta Lake, Lakehouse, Medallion (Bronze/Silver/Gold), Python, SQL, Azure Data Factory, ADLS Gen2, Azure Event Hubs, Apache Kafka, Azure Monitor, Azure DevOps, CI/CD, FinOps, ETL/ELT, Data Warehouse, Confluence.
- GROUPE AFFLELOU⚡ Tech Lead Data EngineerRETAIL (SMALL BUSINESS)October 2022 - February 2024 (1 year and 4 months)Paris, FranceThe Afflelou Group is a European optical leader with over 1,500 stores in 8 countries and over €1 billion in revenue.I joined the IT department as Lead Data Engineer to drive the group's digital transformation: modernizing data architecture, optimizing cloud costs, and internationalizing the platform. Multi-team organization (central data platform and business analytical feature teams).Responsibilities:• Revamp of the Azure data platform: standardized Data Lake architecture (ADLS Gen2) for the entire group.• Delta Lake Lakehouse architecture following the Medallion approach (Bronze/Silver/Gold).• ETL/ELT pipelines with Azure Data Factory and Azure Databricks.• Advanced Spark optimization (PySpark): partitioning, joins, cache, cluster tuning.• End-to-end ingestion of Google Analytics + data from 1,500+ stores (10+ GB/day).• FinOps leadership: workload analysis, cluster redesign, cloud cost optimization.• Multi-environment monitoring (PRD / PPD / DEV / SBX).• Full CI/CD via Azure DevOps and Databricks Repos.• Azure provisioning for the Spanish market, access via Active Directory.• API development via Azure Functions and Azure API Management.• Leading the Data Engineering team, coaching on Databricks and Azure.Results:• -30% cloud infrastructure costs (FinOps).• -30% pipeline processing time.• -70% deployment lead time (CI/CD).• +10 GB/day ingested and centralized (1,500+ stores).• Empowerment of business analytical teams.• Successful international deployment in the Spanish market.Stack: Azure Databricks, Delta Lake, Lakehouse, Medallion (Bronze/Silver/Gold), PySpark, Apache Spark, Spark SQL, Python, SQL, Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Azure Functions, Azure API Management, Azure DevOps, Active Directory, CI/CD, FinOps, Power BI, ETL/ELT, Tech Lead, Code Review.
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Education
- Engineering DegreeENSSAT - École Nationale Supérieure des Sciences Appliquées et de Technologie2017Diplôme d'Ingénieur, Institut Mines-Télécom — ENSSAT Lannion. Spécialisation : Systèmes Numériques et Machine Learning. Formation en traitement du signal, programmation, statistiques, IA, électronique embarquée.
- Preparatory Classes PTSI/PTSaint Aubin La Salle2014Mathématiques, Sciences Physiques, Sciences Industrielles
Certifications
- Databricks Certified Data Engineer ProfessionalDATABRICKS2024
- Microsoft Certified: Azure Data Engineer AssociateMicrosoft2023