Description

I help organizations design and build modern cloud data platforms on Microsoft Azure and Microsoft Fabric that transform raw data into trusted business insights.

As a Cloud Data Engineer, I specialize in designing scalable data pipelines, Lakehouse architectures, enterprise data warehouses, and analytics solutions that support data-driven decision-making.

My expertise includes:

• Azure Data Factory & Dataflow Gen2 for data orchestration

• Azure Databricks & PySpark for large-scale data processing

• Microsoft Fabric & OneLake for modern analytics platforms

• Data Warehouse design using dimensional modeling and Star Schema

• SQL & Spark SQL for efficient data transformation

• Power BI semantic models, KPIs, and interactive dashboards

I deliver end-to-end data solutions, from data ingestion and transformation to business-ready datasets and executive dashboards. My focus is on building reliable, scalable, and maintainable analytics platforms that create measurable business value.

Whether you need to modernize your existing data platform or build a new analytics solution from the ground up, I can help transform your data into actionable insights.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Personal Project
Cloud Data Engineer
DIGITAL AND IT
May 2026 - July 2026 (2 months)
Paris, France
Designed and implemented an end-to-end healthcare analytics platform using Microsoft Fabric to transform hospital operational data into actionable business insights.

• Designed a modern Lakehouse architecture using OneLake and Microsoft Fabric.

• Built scalable data transformation pipelines with PySpark and Dataflow Gen2.

• Implemented Bronze, Silver, and Gold data layers following Medallion Architecture best practices.

• Designed an enterprise dimensional data warehouse optimized for healthcare analytics.

• Developed semantic models and interactive Power BI dashboards for patient admissions, bed occupancy, discharge trends, and hospital performance monitoring.

• Applied data quality, governance, and performance optimization best practices throughout the analytics platform.
Microsoft Fabric OneLake Dataflow Gen2 Microsoft Power BI Data Engineering
Personal Project
Cloud Data Engineer
DIGITAL AND IT
April 2026 - May 2026 (1 month)
Paris, France
Designed and developed a modern retail analytics platform on Microsoft Azure to transform transactional data into business-ready insights.

• Built automated ingestion pipelines using Azure Data Factory.

• Developed scalable ETL workflows with Azure Databricks and PySpark.

• Implemented a Medallion Architecture with Bronze, Silver, and Gold layers.

• Designed a dimensional data warehouse to support sales and customer analytics.

• Delivered Power BI dashboards for revenue analysis, customer segmentation, product performance, and executive KPIs.

• Optimized data processing pipelines to improve scalability and reporting performance.
Microsoft Azure Microsoft Power BI Data Engineer Databricks Azure Data Factory
International Client
Freelance Cloud Data Engineer
DIGITAL AND IT
March 2025 - August 2025 (5 months)
Bordeaux, France
Designed and delivered an end-to-end cloud analytics platform on Microsoft Azure for customer support performance monitoring.

• Designed a scalable Lakehouse architecture using Azure Data Lake Storage Gen2.

• Developed automated data ingestion pipelines with Azure Data Factory.

• Built Bronze, Silver, and Gold data layers using Azure Databricks and PySpark.

• Designed an enterprise dimensional data warehouse using Star Schema.

• Delivered business-ready KPI datasets and Power BI dashboards to monitor customer satisfaction, SLA compliance, ticket resolution, and operational performance.

• Optimized data processing workflows to improve scalability, maintainability, and reporting performance.
Azure Data Factory Microsoft Azure Databricks Microsoft Power BI SQL

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Master of Science – Big Data & Intelligence Artificielle,
Advanced Industrial Technology School (ESTIA)
2024
Ingénierie des données : Bases de données avancées, Bases de données du Big Data & Ingénierie et administration des données massives Analyse des données : Machine Learning, Deep Learning, CNN, RNN, NLP & LLM Développement de logiciels : Développement full stack web et mobile, Méthode agile, Intégration continue et développement continu, MLOps, Développement d'application de réalité virtuelle et réalité augmentée, Programmation cloud & cybersécurité L’objectif du Master BIHAR à l’ESTIA Bidart est de me former à l’intelligence artificielle, au Big Data et au développement d’applications mobiles et web. Je suis capable de gérer des données massives et des bases avancées, développer des modèles de Machine Learning et Deep Learning. En tant qu'ingénieur data scientist et spécialiste en IA, je maîtrise aussi le développement full stack, les méthodes agiles, l'intégration continue, les MLOps, la cybersécurité et la réalité augmentée.
Master's in Computer Systems & Software Engineering (Valedictorian)
African Higher School of ICT (ESATIC)
2023
MATHEMATIQUES : Processus de Markov et files d'attente, Graphes, Cryptographie, Analyse de données, Complexité des algorithmes, Traitements du signal, Approches quantitatives et statistiques, Analyse de données, Recherche opérationnelle avancée. INFORMATIQUE : JAVA, C Avancé, UML, Python, Programmation repartie, Middleware, Algorithmique et Structures de données, Codage et Compression des données, Méthode d'optimisation, Sécurité Big Data, No SQL, Programmation Système, Développement Web et Mobile, SE, Fondamentaux SI. A l'issue de ma formation, je suis capable de développer des applications mobiles et web en utilisant des langages comme JAVA, Python et C avancé, ainsi que de concevoir et administrer des bases de données relationnelles et NoSQL. Je maîtrise les processus de Markov, la cryptographie, l'analyse de données, et la sécurité Big Data. De plus, je suis compétent en gestion de projets, en travail d'équipe et en utilisation d'approches quantitatives et statistiques avancées.