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Abdel M.AM

Abdel M.

Expert Power BI | DAX| Data Analyst | Fabric | SQL

€490/day
2 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Abdel

🔹 Data Analyst & Data Engineer | Expert Power BI & Azure & SQL

Data Architecture | Automated Reporting | Business Intelligence

I support companies in designing complete data solutions: from data ingestion to the creation of high-performance decision-making dashboards.

My goal: transform your data into a reliable, automated, and actionable strategic lever.

🚀 What I bring you
🔹 Data Engineering – Azure Platforms

• Business data ingestion.
• Implementation of integration pipelines with Azure Data Factory (ADF)
• Secure storage and access management via Azure Blob Storage
• Design of robust and scalable data architectures
• Structuring of ETL / ELT flows

🔹 Modeling & Data Warehouse

• Modeling under SQL Server (SSMS)
• Architecture design.
• Star schema structuring
• Definition of business rules and naming conventions
• SQL performance optimization

🔹 Business Intelligence & Reporting

• Custom dashboard design (Power BI, Tableau)
• Creation of high-performance semantic models in Power BI
• Advanced transformations using Power Query
• Development of dynamic DAX measures
• Automation of reporting to reduce errors and save time
• Delivery of interactive dashboards for strategic management

💡 Why work with me?

✔ Dual Data Engineer + Data Analyst expertise
✔ Business performance-oriented vision
✔ Ability to simplify complex architectures
✔ Reliable, scalable, and future-proof solutions
✔ Every dashboard becomes a true decision-making tool

🛠 Technical Stack

Azure (ADF, Blob Storage)
SQL Server (SSMS)
Power BI
Power Query
DAX
JSON
Tableau
Data Warehouse
SQL
data engineer
data analyst
Expert Power BI
Analytics Engineer
Microsoft Fabric
ETL / ELT
pipelines
Data warehouse
Lakehouse
Data modeling
Dataviz
Dashboards
Data quality
Snowflake
BigQuery
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Lyon (up to 50km), Montpellier (up to 50km), Annecy (up to 50km), Lille (up to 50km)

Experience

  • VINCI Construction
    Data Engineer & AI
    CIVIL ENGINEERING
    May 2025 - Today (1 year and 1 month)
    Nanterre, France
    Data Engineer specializing in setting up data platforms on Azure, from data ingestion to analytical exploitation.

    Main tasks:

    • Business data ingestion (stocks, planning, inventory...) via JSON files
    • Design of data architecture on Azure: Blob Storage, access management, Azure Data Factory
    • Data modeling in SQL Server (ODS, ODS_TRV, DWH)
    • Collaboration with business teams to define business rules and naming conventions
    • Creation of Power BI semantic models, transformations with Power Query and DAX measures
    • Delivery of reliable dashboards for decision support

    Stack: Azure (ADF, Blob Storage), SQL Server (SSMS), Power BI, Power Query, DAX, JSON
    Azure Data Factory Microsoft Power BI SQL Server Management Studio (SSMS) SQL Data Flows
  • EDF
    Expert Data Analyst | Business Intelligence
    ENERGY AND UTILITIES
    May 2024 - April 2025 (11 months)
    Paris, France
    Gathering and analyzing business needs from various departments (project managers, finance department, partners).

    Extraction and transformation of data from EDF partner databases via optimized SQL queries (complex joins, aggregations, views, stored procedures).

    Data cleaning, structuring, and modeling using a star schema approach to ensure performance.

    Design and implementation of a structured semantic model in Power BI (relationships, hierarchies, calculated columns).

    Development of advanced DAX measures for dynamic calculation of key indicators:

    - Project revenue
    - Progress rate
    - Margin and profitability
    - Partner performance KPIs
    - Year-over-Year / YTD / rolling cumulative comparison

    Creation of interactive and dynamic dashboards adapted to different user profiles (operational managers, management, strategic steering).

    Implementation of advanced filters, slicers, drill-through, custom tooltips.

    Optimization of report performance (relationship management, cardinality, DAX optimization).

    Implementation of RLS (Row-Level Security) to restrict data access based on profiles.

    Publication and management of reports on Power BI Service, workspace management, and automatic refresh scheduling.

    User support and training on dashboard usage.
    Microsoft Power BI Power BI Services Data Visualization SQL Data Analysis
  • Data_praxis
    Data Engineer & AI
    CONSULTING AND AUDITS
    February 2023 - March 2024 (1 year and 1 month)
    Nanterre, France
    Data Engineer / Analyst – Modernization of data platform towards Microsoft Fabric
    • Data transformation mission aimed at centralizing analysis and modernizing the architecture towards a Microsoft Fabric environment.
    • I first took charge of existing reports by developing Power BI dashboards connected to SQL Server, with DAX modeling, to meet the immediate needs of business teams.
    • In parallel, I structured the datasets in the Lakehouse / Warehouse layers of Microsoft Fabric to build a centralized analytical model. I then implemented ETL pipelines via Fabric Data Pipeline to automate ingestion and orchestrate flows from different sources.
    • Final stage: performance optimization, continuous quality checks, and pipeline monitoring to ensure reliable and scalable reporting over time.
    Microsoft Fabric Azure Data Factory Microsoft Power BI Azure Synapse Analytics SQL Server Management Studio (SSMS)

Reviews

5.0

Out of 2 ratings

V

Vinci

Consultant Analytics Engineer - vinci

Reviewed on 2/11/2026

I want to highlight the excellent work done by abdelmadjid on this project. All tasks were carried out with seriousness, rigor, and professionalism. The SQL part was perfectly structured, with the creation and optimization of queries as well as the implementation of necessary tables for the proper functioning of the data model. The developed queries are clear, performant, and well-organized. On Power BI, the work is clean and coherent, with effective data exploitation allowing for clear and relevant visualization. The integration with data sources was well thought out. Regarding Azure Data Factory, the pipelines were correctly designed and configured, allowing for complete automation of data flows. Data source automation is a real strong point of the project, ensuring reliability and time savings. Overall, the project was completed at a fully satisfactory level. The work is clean, structured, automated, and professional. I highly recommend his expertise for any data-related project.

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Education

  • Master of Science in Information Systems
    Université de Montpellier
    2021
    Master 2 (M2), MBFA Système d'information
  • Data Scientist
    Datascientest
    2025
    Programmation en Python, Data Visualisation, Machine Learning, Deep Learning, Data Engineering et MLOps.

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