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Oussama G.OG

Oussama G.

Expert Power BI | Microsoft Fabric | ADF | dbt

€670/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Oussama

Senior Analytics Engineer | Expert Microsoft Fabric, Azure Data Factory, dbt & Power BI
(Microsoft Certified DP-600, DP-700 & PL-300)

I support CIOs and business departments (Finance, Banking, Insurance, Industry) in building modern Data Platforms on Microsoft Fabric and modernizing their data flows with dbt.

With over 6 years of experience, I design scalable Lakehouse architectures (Medallion), robust data models (Star Schema, Data Vault), and optimized Power BI reports in Direct Lake mode.

Microsoft Fabric Expertise : Mastery of the ecosystem for your migrations to Lakehouse and/or Data Warehouses and the implementation of the Medallion architecture, ensuring certified data and optimized Power BI reports in Direct Lake mode.

Power BI Expertise : Design of robust data models (Star Schema, Data Vault) ensuring reliable, scalable, and error-free reports and dashboards.
DataOps Culture : Industrialization of your data flows through automation (CI/CD), Git versioning, and code quality with dbt.

🛠️ MASTERED TECHNICAL STACK

📌 MICROSOFT FABRIC
Microsoft Fabric Ecosystem : OneLake, Lakehouse (Spark), Data Warehouse (T-SQL).
Ingestion & Orchestration : Data Factory (Pipelines), Dataflows Gen2, Mirroring, Shortcuts.
Admin & Governance : P-SKU to F Fabric Migration, Security & RLS.
Transformation : dbt (dbt-fabric), SQL, Python (Notebooks).
DevOps : Azure DevOps, Git Integration, CI/CD Deployment Pipelines.
📌 MICROSOFT POWER BI
Modeling : Star Schema, Data Vault 2.0.
Performance : Direct Lake Mode, Complex DAX, Semantic Models.
Design : UX/UI for financial dashboards, Data Storytelling.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Lille (up to 50km), Nantes (up to 50km)

Experience

  • Orange Groupe
    Analytics Engineer || Microsoft Fabric | DBT | BigQuery | Power BI | Finance
    TELECOMMUNICATIONS
    May 2025 - Today (1 year and 1 month)
    Paris, France
    Project carried out as part of a technical debt reduction program on a large-scale decision-making project, covering dozens of complex reports related to Corporate Finance processes.

    Functional scope - non-exhaustive list
    CFO Reporting (strategic steering indicators)
    Tracking of committed expenses (CAPEX / OPEX)
    Workforce and headcount analysis
    Multi-system financial reconciliation: EPM (IBM Analytics) | Financial Consolidation (SAP BFC / ex-Magnitude)

    Objectives
    Improve the maintainability and readability of Power BI reports
    Reduce calculation redundancies and inconsistencies
    Rapid transition to industrialization
    Optimize query and processing performance
    Ensure reliability of inter-system reconciliations
    Standardize data models and development practices

    As an Analytics Engineer, my tasks are as follows:

    - Gathering and scoping requirements with business stakeholders
    - Data transformations with DBT within a medallion architecture (bronze, silver, and gold)
    - Best practices for dbt and Power BI data modeling
    - Semantic model design (star schema data model)
    - Deployment and GITLAB integration
    - Internal PoCs around Microsoft Fabric (Shortcuts, pipelines, Dataflow Gen2, lakehouse, warehouse, semantic model).

    Technical Environment: Microsoft Fabric, Power BI, DBT, Jira, BigQuery, Data Warehouse, Lakehouse, GCP, GitLab
    Microsoft Fabric Microsoft Azure Microsoft Power BI DBT Big Query
  • Orange Bank
    Analytics & Data Engineer Azure | AWS | MSBI | Microsoft Power BI
    BANKING AND INSURANCE
    January 2022 - April 2025 (3 years and 3 months)
    Paris, France
    Project carried out within a digital bank operating in a highly competitive environment, with a major focus on optimizing the decision-making chain and improving the availability of strategic data.

    Context & Challenges
    Strengthening operational efficiency
    Ensuring reliability and accelerating decision-making data flows
    Improving the responsiveness of business reporting
    Support for banking and post-banking activities

    Involvement in several strategic projects:

    Ozark: anti-money laundering (compliance)
    Oscamps: regulatory reporting for the French central bank
    Hello Bank (divestiture): customer data management and valuation

    As an Analytics Engineer, my main achievements are below:

    - Gathering and scoping business requirements
    - Design, development, and optimization of multi-source ETL flows: Databases (PostgreSQL, SQL Server), Flat files, Excel, third-party applications (SAB, Salesforce, Service Layer)
    - Development of T-SQL scripts, stored procedures, and views for automation and analysis
    - Creation of Power BI reports and dashboards for customer tracking and business indicators
    - Performance of unit tests (DTA) and participation in production deployments
    - Application RUN management (ETL, reporting, files)
    - Implementation of CI/CD pipelines via TFS and Azure DevOps
    - Writing technical documentation
    - Incident management and level 2/3 support
    - Ad hoc analysis on data quality and consistency

    Environment: AWS Cloud, Azure Cloud, Data Warehouse, ETL (Azure Data Factory, SSIS), Airflow, Data Lake, Data Warehouse, Data Architecture, Azure DevOps
    Azure Data Factory SSIS Amazon Web Services SQL Server Microsoft Power BI
  • Malakoff Humanis
    Analytics Engineer Power BI | MSBI | Finance
    BANKING AND INSURANCE
    January 2019 - January 2021 (2 years)
    Paris, France
    Project carried out as part of the redesign of the supplementary health insurance offer to meet new policyholder expectations: access to care, prevention, proximity, and social responsibility.

    Context & Challenges
    Structuring and managing a new health insurance offering
    Optimizing data flows and ensuring data reliability
    Providing key indicators for business departments

    Main Achievements
    Design and modeling of a DataMart for the new offering
    Development of SSIS packages for data integration from Excel files
    Analysis and control of functional data quality using T-SQL
    Design and development of a tabular SSAS cube
    Populating and automating DataMart loads
    Development and maintenance of Power BI reports
    Analysis of sales data and anomaly tracking
    Support for user acceptance testing and production deployment

    Technical Environment: MSBI: SSIS, SSAS, T-SQL, MSBI, Microsoft Power BI
    SSIS Microsoft Power BI SQL Server (T-SQL) Data Warehouse Data Visualization

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Education

  • Finance and Information Systems
    IAE Tours
    2018
    Double compétence Data science et Management

Certifications

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