Freelancer profile translated to English.

Description

Experienced Data Engineer – Expertise in Cloud Environments and Azure Data Migration

✔ Solid experience in Data Engineering: 3 years of experience in various data engineering projects, developing robust and scalable data pipelines.

✔ Mastery of Cloud environments (Azure): In-depth knowledge of the Azure ecosystem, with practical experience in data migration and cloud service integration.

✔ Advanced technical skills:

Languages: Python, PySpark, SQL, Git – expertise in scripting, data processing, and versioning.

Azure Services: Azure Data Factory, Azure Databricks, Azure DevOps, Azure Data Lake Storage (ADLS) – for high-performance, Cloud-oriented data architectures.

✔ Active participation in migrations to Azure Cloud: Collaboration on migration projects, ensuring the smooth transition of data to modern and optimized environments.

✔ Results and added value oriented: Always focused on optimizing and ensuring the reliability of solutions, I design architectures that meet business needs and performance requirements.

Actively seeking new Data Engineering missions to bring my skills and data expertise to Cloud and Big Data oriented projects. Ready to discuss your data needs, do not hesitate to contact me!

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 30km)

Coallia
Azure Data engineer
September 2025 - Today (9 months)
Paris, France
Context: Service mission within Coalia's Data & Digitalization department, aiming to validate and automate business data flows.

Main missions:

Design, development, and maintenance of data pipelines under Microsoft Fabric / Azure Synapse / Data Factory.
Writing and optimizing SparkSQL / PySpark queries for data processing and transformation.
Participation in the implementation of the star model (Bronze / Silver / Gold) and the purchasing journal (Spendesk → SAP).
Integration and quality control of data from multiple sources (API, CSV, SharePoint, SAP, Spendesk, etc.).
Automation of workflows with Power Automate and Logic Apps (loops, error handling, notification, logs).
Complete technical documentation: architecture diagrams, data dictionaries, and anomaly tracking.
Daily collaboration with Finance, Management Control, and IT teams to ensure data flow consistency.
Support and continuous improvement: incident management and treatment evolution according to business needs.
PySpark Python SQL Microsoft Fabric Power Automate
Orange Business service
Azure Data engineer
AGRICULTURE
December 2023 - August 2025 (1 year and 8 months)
Gif-sur-Yvette, France
Data Engineer in the agri-food sector at Danone

Responsible for optimizing nutritional data processing, I designed and automated ETL pipelines to feed Snowflake, using Azure Data Factory, Databricks, and GitHub for CI/CD. I also optimized the infrastructure and data ingestion to meet the company's evolving needs.
CGI
Data engineer
DIGITAL AND IT
February 2022 - November 2023 (1 year and 10 months)
Bois-Colombes, France
Early childhood sector: POC on setting up a Python ETL for the overhaul of the data processing system and to replace the Talend ETL
Tasks performed:
• Development of standardized classes and methods (logging, jobs, sequences).
• Development of Airflow DAGs
• Development of Azure functions to execute Python scripts
• Writing of the DAT, installation procedures (VM, Airflow, developer workstations)
• Facilitation of follow-up committees

Skills: Python (programming language) · Extract, Transform, Load (ETL) · Apache Airflow · SQL (SQL Server) · Linux . Docker. Azure Portal. Azure DevOps. Azure functions