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Habib BettaiebHB

Habib Bettaieb

Data engineering and data analyst

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Habib

Data Engineer specialized in the design and industrialization of data pipelines, migration of BI platforms to the Cloud, and implementation of high-performance analytical solutions.
Proven experience in Microsoft BI, Azure, Snowflake, Python (Pandas) environments, with a strong ability to secure, make reliable, and optimize Data systems. I work on end-to-end projects (ingestion, transformation, storage, governance, delivery) to help companies leverage their data and accelerate their Data-Driven strategy.
  • French

    Fluent

  • English

    Fluent

  • Arabic

    Native or bilingual

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

Experience

  • NaTran
    Data Engineer Snowflake
    ENERGY AND UTILITIES
    January 2023 - Today (3 years and 6 months)
    Bois-Colombes, France
    • Migrated and modernized Databricks notebooks and SSIS packages into optimized Snowflake workflows, reducing technical debt.
    • Orchestration and automation of data flows via Azure Data Factory and Runbooks (API integration, automated extraction).
    • Implementation of security policies (masking, user roles) for GDPR compliance.
    • Development and industrialization of Power BI models (Finance, HR, IT) improving decision support.
    • Writing technical documentation and supporting acceptance testing phases.
    • Close collaboration with business stakeholders to align Data strategy with business objectives.
    • Design and industrialization of an orchestration flow via Power Automate to automate the update of Finance Power BI dataflows and semantic model.
    Results:
    • -40% ELT time and notable reduction in Cloud costs.
    • Implementation of automated data quality controls (volume validation, expected row consistency) to ensure the reliability of pipelines and business reports.
    • Implementation of a cloud-native, scalable, and secure Data Analytics platform.
    • Increased adoption of Power BI by Finance, HR, and IT departments.
    Stack: Power BI, SQL Server, SSIS, SSAS, ADF, Snowflake, Azure Databricks (Python), Azure Automation (Python, PowerShell), Azure DevOps, Power Automate
    Methodology: Agile Scrum/Kanban, CI/CD
    Snowflake Azure devops Azure data factory SQL Server Microsoft Power BI
  • Sodedif
    Data engineering mission
    BANKING AND INSURANCE
    March 2020 - January 2023 (2 years and 10 months)
    Toulon, France
    • Design and deployment of a Business Intelligence Data Warehouse (Finance, HR, Sales).
    • Development of ELT pipelines with SSIS (CRM, ERP, Excel).
    • Creation of SSAS cubes and Power BI dashboards (RLS security, strategic KPIs, workspace governance).
    • Migration and optimization of flows to Azure Synapse & Data Lake with ADF.
    • Training and user support to strengthen BI adoption.
    • Writing technical documentation and knowledge transfer to internal teams.
    Results:
    • Rapid availability of reliable reports for senior management.
    • Massive adoption of Power BI in Finance, HR, and Sales departments.
    • Notable improvement in the performance, reliability, and availability of BI chains.
    Stack: SQL Server, SSIS, SSAS, Synapse, ADF, Power BI
    Methodology: Agile Kanban, DMAIC, Ishikawa

    Azure Synapse Microsoft Power BI SQL Server Ssas Azure data lake
  • Union internationale de banques
    Business intelligence
    BANKING AND INSURANCE
    July 2019 - February 2020 (8 months)
    Tunis, Tunisia
    • Design and development of a budgetary BI solution for the PMO department.
    • Development of ETL with SSIS to centralize and transform multi-source financial data.
    • Definition of strategic KPIs (progress, consumed budget vs. forecast).
    • Creation of interactive Power BI dashboards for multi-axis tracking (investment type, expenses by department, forecasts vs. actuals).
    Results:
    • Real-time budget monitoring for senior management.
    • Reduction of discrepancies between forecast and actuals.
    • Adoption of a Data-Driven culture in budget monitoring.
    SQL Server SQL SSIS Ssas Microsoft Power BI

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Education

  • Master Enterprise System Engineering
    Higher Institute of Management
    2019

Certifications

Skill set (11)

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