About Hamza
- Design of robust data models (star schema, snowflake)
- ETL development with Talend, Airflow, Python...
- Integration on cloud platforms: Azure, AWS, GCP
- Visualization and storytelling with Power BI and Tableau
- Specialist in dashboards, KPIs & automated reporting
Arabic
Native or bilingual
French
Native or bilingual
English
Fluent
Experience
- OPENData AnalystBANKING AND INSURANCEJune 2025 - Today (1 year)Nantes, FranceLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.
- Ministère de l'IntérieurData AnalystPUBLIC SECTORMay 2014 - May 2025 (11 years)Rabat, Morocco☑️Requirements gathering from business experts, elaboration of requirements and definition of specifications.☑️Design, publication, and maintenance of pipelines to extract, transform, and load (ETL) data from various sources into ElasticSearch.☑️Preparation, organization, and structuring of data to make it usable, using Power Query, Talend, or Python.☑️Writing SQL queries to assess data quality and apply fixes if necessary.☑️Design of data models (star and snowflake schemas).☑️Coding measures with DAX.☑️Orchestration of data flows with Apache Airflow.☑️Creation of automated dashboards using Tableau or Power BI DataViz tools.☑️Performance testing to optimize dashboard robustness.☑️Deployment of data sources and Tableau Server / Power BI Report Server reports.☑️Training and support for end-users of the dashboards.☑️Writing documentation
- ESHOPPINOData AnalystE-COMMERCENovember 2022 - May 2024 (1 year and 6 months)☑️Identification of needs with business experts, formulation of requirements, and writing of technical specifications.☑️Automation of data extraction, transformation, and loading (ETL) using Azure Data Factory, with data sources from Excel and Odoo API.☑️Integration of Azure Synapse Analytics to centralize and store data more efficiently.☑️Data modeling using a star schema.☑️Creation and design of a dynamic dashboard with Power BI for clear and precise visualization of financial data.☑️Conducting tests to enhance dashboard performance.☑️Publication of the dashboard on Power BI Service.☑️Support and training for end-users on dashboard usage.☑️Writing detailed documentation describing the data pipeline architecture and providing instructions for navigating the Power BI dashboard.
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Education
- Neural Networks and Deep LearningNeural Networks and Deep Learning
- MasterNational School of Computer Science and Systems Analysis - ENSIAS2020Master
Certifications
- Power BI Data Analyst (PL-300)Microsoft2025
- Tableau Data Analyst (TDA-C01)Tableau2023