Freelancer profile translated to English.

Description

Cloud Architect & Data Tech Lead with over 13 years of experience in business intelligence systems transformation, data engineering, and cloud architecture design (Azure, AWS, GCP), on-premise, and hybrid. Recognized expert in industrializing Data/DevOps pipelines, cloud platform governance, and FinOps optimization. Involved in strategic projects as a technical referent and solution architect, particularly in the finance, retail, and public transport sectors.

I have worked in demanding environments, in consulting firms and in-house, supporting the construction, automation, and operation of high-stakes cloud platforms. Appreciated for my technical leadership, analytical skills, pedagogical approach, and ability to unite teams around common goals.

Languages

French
Native or bilingual
English
Conversational

Workplace preferences

Can work on-site

Paris (up to 50km)

UNEO — Mutuelle de la Défense
Data Platform Architect
February 2026 - Today (6 months)
• • Study of Azure Synapse migration to Microsoft Fabric: technical impacts, security, governance, costs, transition strategy.
• • Scoping of the target Fabric architecture: OneLake, medallion patterns (Bronze / Silver / Gold) transposed from Databricks experience, business intelligence data model.
• • Qualification of source data and mapping data to business KPIs (prioritization by business value and data maturity).
• • Audit of Azure DevOps deployment processes and analysis of existing CI/CD chains.
• • Industrialization of Fabric / Synapse / Data Factory deployments using YAML, ARM/Bicep, PowerShell, Python.
• • Implementation of DevOps standards, environment governance, maintenance, and post-production support.
• • Coaching teams on DataOps best practices, change management, and training. Microsoft Fabric environment (OneLake, Lakehouse, Data Factory Fabric, Power BI), Azure Synapse, Azure Data Factory, Power BI, Azure DevOps, YAML, ARM/Bicep, PowerShell, Python, Git, Jira, Confluence.
SCENARIO-X FinTech
Data Platform Tech Lead
October 2025 - January 2026 (3 months)
Genève, Switzerland
Achievements
• Design of the multi-cloud Data Platform: unified API (Provider Pattern) exposing native services of
each cloud — EMR Studio / Athena (AWS), Azure Databricks / Unity Catalog (Azure), BigQuery / Vertex AI
Workbench (GCP).
• Industrialization of ETL/ELT pipelines: Talend, Apache Airflow, Databricks Jobs, modeling and governance
of financial flows (Refinitiv, institutional clients, open data).
• Multi-tenant Data Governance: catalog, policies, lineage per banking tenant — strong isolation, classification, data access audit (S3 Object Lock, 7-year retention).
• Comparative POC Snowflake / Databricks SQL Warehouse / Microsoft Fabric for financial analytics, target architecture recommendations.
• Orchestration of Databricks via Apache Airflow (DatabricksSubmitRunOperator) for financial scenario planning
(stress tests, portfolio modeling).
• Management of a multidisciplinary team (cloud, dev, data science) in Agile.

Environment Azure, AWS, GCP, Databricks (Unity Catalog), Microsoft Fabric, BigQuery, EMR Studio, Apache
Airflow, Talend, Terraform, Azure DevOps, Azure Functions, API Management (APIM), Kubernetes, Python, Scala,
Refinitiv API, FastAPI, Jira, Confluence.
Security Azure PaaS Tech Lead Azure DevOps Multi-Cloud
Groupe Mousquetaires
Data Platform & DevOps Architect
April 2022 - September 2025 (3 years and 5 months)
• • Design and implementation of the medallion Lakehouse architecture (Bronze / Silver / Gold) on Azure Databricks + Unity Catalog — a cross-project model for the Group's data initiatives.
• • Integration of Unity Catalog (Databricks) coupled with Datagalaxy for cross-functional Data governance: ~12 internal data projects governed, multi-brand ownership model, business catalog (Datagalaxy) + technical catalog (Unity Catalog), classification, end-to-end lineage, quality, shared business glossary.
• • FinOps Strategy: SKU review, resource pooling across entities, capacity control policies, code & usage optimization — ~20-25% savings on the Azure Data budget.
• • CI/CD stabilization and automation: ARM / Bicep templates, YAML application & infrastructure pipelines, multi-environment releases, self-hosted agents.
• • Optimization of Azure infrastructures (Databricks, ADF, Storage, Azure ML, AKS) and DataOps best practices.
• • Coaching and mentoring teams on modeling and deployment standards. Environment Azure (Databricks, ADF, Storage, Azure ML, AKS, Azure Functions, API Management (APIM), Event Grid), Power Platform (Power Apps, Power Automate), Power BI, Azure DevOps (PowerShell, YAML, ARM, Bicep), Unity Catalog, Datagalaxy, Terraform, Jira, Confluence.