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Bilel L.BL

Bilel L.

Data Engineer | Expert Microsoft Fabric & Azure

On-demand
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Bilel

Data Engineer specialized in Microsoft Fabric & Azure, I support my clients in modernizing their BI platforms and implementing scalable, high-performance, and optimized Data architectures.

Main Expertise


**Microsoft Fabric**: Lakehouse (Bronze/Silver/Gold), Data Pipelines, OneLake, Databricks, CI/CD



**Power BI**: modeling, DAX, performance optimization, large-scale deployment



**Azure Data**: Synapse Analytics, Data Factory



**Technologies**: SQL, Python (PySpark), DBT, SSAS (tabular & multidimensional)



**FinOps Strategies**: Cloud cost reduction up to -40%

Certifications

  • Microsoft Certified: Fabric Data Engineer Associate (DP-700)
  • Microsoft Certified: Azure Fundamentals (AZ-900) & Data Fundamentals (DP-900)
  • Microsoft Certified: Power BI Data Analyst (PL-300)
  • Tableau Desktop Specialist

Achievements


SFR
Migration of an on-premise BI platform (SSAS, SSRS) to Microsoft Fabric & Azure. Implementation of Lakehouse architectures and Power BI dashboards for +300 business users.
  • Results: complete modernization of the BI ecosystem, improved query performance, and massive adoption of self-service reporting.

EU - PMI
Deployment of Data Fabric pipelines to meet TPD regulatory compliance requirements and automation of multi-country flows.
  • Results: guaranteed compliance, reporting times halved, complete data security and traceability.

DAF Trucks
Design and deployment of a modernized Data platform to leverage IoT data from connected trucks.
  • Results: data availability increased to 99.9% and processing times reduced by 60%, providing better visibility into vehicle performance.
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Paris (up to 50km), Lille (up to 50km), Strasbourg (up to 50km)

Experience

  • SFR
    Data Engineer
    TELECOMMUNICATIONS
    July 2023 - Today (2 years and 11 months)
    Paris, France
    Administration, improvement, evolution, and creation of new data warehouses, while ensuring the operational efficiency of the BI platform within the SFR Business department.

    • Analysis of functional requirements
    • Data model creation
    • ADF pipeline development
    • SSAS cube creation
    • Migration of multidimensional SSAS cubes to the tabular model
    • Optimization of existing data integration flows
    • Development of Power BI reports to meet business needs
    • Improvement of data quality

    Technical Environment:Microsoft Fabric, Azure Data Factory, Azure Databricks, Power BI, SSAS, Oracle, Agile, Jira
    Microsoft Fabric Azure Data Factory Microsoft Power BI Business intelligence Azure Databricks
  • Union Européenne - Philip Morris International
    Data Engineer
    LOGISTICS AND SUPPLY CHAIN
    January 2021 - May 2023 (2 years and 4 months)
    Lille, France
    Implementation of a data warehouse as part of the European TPD directive to ensure the traceability of tobacco products throughout the production chain, from manufacturing to point of sale, in order to control compliance with European regulations.

    • Analysis of functional and technical requirements
    • Definition of DWH architecture (DFM) and choice of data model (star schema)
    • Transformation and integration of data from various sources (flat files, XML, databases, web services)
    • ETL flow testing and validation
    • Improvement of data quality
    • Design and development of Power BI reports (reports for production chain monitoring, key performance indicator reports)
    • Data flow optimization
    • Writing functional and technical documents
    • User training

    Technical Environment:Talend, Python, Greenplum (PostgreSQL), Power BI, Git, Jira, Confluence
    Microsoft Power BI ETL Business intelligence Talend Data modeling
  • DAF
    Data Engineer
    AUTOMOBILE
    January 2020 - December 2020 (11 months)
    Lille, France
    Implementation of a data platform to optimize the monitoring of connected truck fleets and provide operational analysis for the automotive manufacturer DAF.

    • Analysis of functional and technical requirements
    • Definition of DWH architecture (DFM) and choice of data model (star schema)
    • Transformation and integration of data from various sources (flat files, Excel, databases)
    • ETL flow testing and validation
    • Design and development of Power BI Reports (reports for monitoring connected truck activity)
    • Writing functional and technical documents

    Technical Environment:SSIS, SSAS, MSSQL, Power BI, Python, Git, Jira, Confluence
    Microsoft Power BI SQL Server Integration Services (SSIS) SQL Server Analysis Services (SSAS) Python ETL

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Education

  • Master, Computer Science
    University of Tours
    2020
    Big Data Management and Analytics (Business Intelligence & Data Science)
  • Bachelor's Degree, Computer Science
    University of Tours
    2018
    Informatique

Certifications

Skill set

Categories