Freelancer profile translated to English.

Description

Professional with a dual expertise in business (Finance, Business, Accounting, and Logistics) and technical (MSBI, Azure, Power BI, SQL, DevOps).

This dual expertise allows me to better understand my clients' needs and offer them the best solution in terms of technical optimization and visual relevance.

Languages

French
Fluent
Arabic
Native or bilingual
English
Fluent
Spanish
Basic

Workplace preferences

Can work on-site

Paris (up to 50km), Nice (up to 50km), Niort (up to 50km)

Thales Group
Data Engineer & Analyst
AVIATION AND AEROSPACE
October 2020 - November 2023 (3 years and 1 month)
Vélizy-Villacoublay, France
Development of data engineering and data visualization solutions for international teams in a multi-cloud environment (GCP/Azure).
• Needs Analysis: Collaboration with international sales teams to gather requirements and design tailor-made data solutions for management controllers.
• GCP Data Pipelines: Design and implementation of ETL/ELT pipelines with Cloud Dataflow, Cloud Functions, and Pub/Sub to process data in real-time and batch to BigQuery.
• Azure Data Pipelines: Development of high-performance pipelines with Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database for ingesting and processing large volumes of data.
Microsoft Azure SQL Server Microsoft Power BI Google Cloud
Air Liquide
BI Developer
ENERGY AND UTILITIES
April 2020 - October 2020 (6 months)
Paris, France
Summary: Migrate the international group's data solution to Azure

- Collaboration with the BA to fully understand client needs and ensure deliveries meet their requirements;
- Creation of tables, views, and stored procedures using SQL scripts on Microsoft SQL Server Management.
- Creation of pipelines on Azure Data Factory to load data into staging tables from flat files located on blob storage.
- Modeling, cube creation, and measure definition using Azure Analysis Services.
- Use of Azure DevOps to break down User Stories into tasks and manage the Git Repository.
- Creation of Power BI validation reports for the Demo at the end of each sprint.
- Creation of a Power BI report to track the execution status of Azure Data Factory pipelines using Azure Log Analytics.

Technical Environment: T-SQL, Azure Synapse, Azure Data Factory, Azure DevOps, Azure Datalake, Azure Analysis Services
Azure Data Factory Microsoft Azure SQL Server
Air Liquide
Data Engineer (PFE)
ENERGY AND UTILITIES
January 2020 - October 2020 (9 months)
Paris, France
Migration and modernization of the SAP data platform to Azure to feed client websites and Air Liquide's business applications.
• Migration Architecture: Design and implementation of the overall architecture for migrating SAP data to Azure Synapse Analytics to support client websites (+50k users).
• Data Pipelines: Development of robust ETL pipelines with Azure Data Factory to automate data ingestion and transformation from SAP systems to the cloud.
• Performance Optimization: Creation and optimization of SQL objects (tables, views, stored procedures) in Azure Synapse Analytics via SSMS to improve query performance.
• Data Warehousing: Development of tabular models on Azure Analysis Services to facilitate SAP data analysis and support business use cases.
• Visualization and Reporting: Design of Power BI dashboards for monitoring key indicators and analyzing migrated data, facilitating decision-making.
• DevOps and Quality: Project management with Azure DevOps (User Stories, Git, CI/CD) and implementation of data validation processes to ensure quality.
Technical Stack:
◦ • Azure: Synapse Analytics, Data Factory, Analysis Services, DevOps, Blob Storage
◦ • Tools: SSMS, Power BI, Git
◦ • Languages: SQL, Python, DAX
◦ • Methodology: Agile, Data Quality, DevOps
Microsoft Azure Azure Data Factory SQL Server