Hassan El Moumni

• • Data Full-Stack developer: development of data and AI-oriented business applications with Python (Django) and React, integrating data processing, analysis, and visualization (Digital Asset Management Application, Scraping, PIM..)

• • Data architecture & pipelines: structuring Azure architecture, developing and optimizing CI/CD pipelines, managing ETL/ELT flows, and integrating business data

• • Data governance and security: implementing controls, business rules, role management, and securing Power BI reports, contributing to the structuring of BI governance

• • Cross-functional coordination: interface between business and technical teams for functional scoping, specification writing, PIM/DAM project monitoring, and process harmonization

• • Training and support: training business teams on BI tools and reporting best practices, knowledge transfer, and project documentation

• • Recruitment participation: technical and soft-skills analysis of candidates

• • Management of data pipelines and ETL on Azure ADF cloud;

• • Development of reporting and dashboards via SQL, Python, SSAS Cubes, and Power BI;

• • Migration of ETL from SSIS to ADF and data migration to SAP;

• • Training of business teams on Power BI; Technologies:

• • Python and its data modules, Azure Data Factory, SQL, T-SQL, Power Apps, MariaDB, SQL Server, Power BI, Power Automate, Azure DevOps, SSIS, SSMS, SSAS, Visual Studio, Excel.

• • RMS Data Quality Manager:

• • Development and supervision of a strategic roadmap to improve data quality + Ensuring data reliability by correcting historical anomalies and preventing new issues + Leading workshops with different business units to raise awareness and harmonize data quality processes

• • Automation and production of the quarterly and annual technical report;

• • Descriptive and predictive analysis for various business committees

• • Technical-Financial Referent for digital transformation projects;