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Baye Modou DioufBM

Baye Modou Diouf

Certified GCP Data Engineer

€450/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Baye Modou

Analytics Engineer / Data EngineerCertified Google Cloud (GCP), specializing in the design and automation of cloud-native data pipelines. I work onBigQuery,Dataform,Cloud Composer (Airflow), andDataflowenvironments to build performant, reliable, and scalable data warehouses. I support business teams through BI dashboards (Power BI, Looker Studio) and apply security, governance, andGDPRcompliance best practices on GCP.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Carrefour France
    Analytics Engineer
    October 2024 - October 2025 (1 year)
    Mondeville, France
    Carrefour
    Analytics Engineer mission within a large-scale GCP data environment. Involved in the design and industrialization of batch and streaming data pipelines, as well as the structuring of analytical data for BI use.
    Participated in the implementation of modern data architectures on Google Cloud Platform, with a clear separation of raw, staging, and analytics layers to ensure the readability, maintainability, and reliability of processes.
    On the batch side, developed ingestion and transformation processes, performed analytical modeling in BigQuery, and optimized performance (partitioning, clustering, cost control). Pipelines are orchestrated and automated to ensure reliable and reproducible processing.
    On the streaming side, implemented event-driven flows for real-time or near real-time data processing, managing time windows, event delays, and recovery mechanisms.
    Key role in analytics engineering: designing robust analytical models, creating BI-ready data marts, and maintaining constant focus on data quality and consistency.
    Data is exposed via Looker, with the creation and maintenance of semantic layers (LookML) and performant explores, facilitating user adoption.
    Worked in an industrialized, version-controlled environment, applying GCP best practices for security, performance, and governance.
    BigQuery Python SQL Spark ETL/ELT
  • CHU de Lille,
    Apprentice Data Analyst
    HEALTH AND WELLNESS
    September 2022 - August 2024 (1 year and 11 months)
    Lille, France
    Extraction, processing, and analysis of medical data from the national PMSI MCO database and the local PMSI database of the Lille University Hospital.
    • Conception of SQL queries and Python scripts to automate the extraction, cleaning, and transformation of hospital data.
    • Implementation of statistical methods to measure hospital activity, length of stay, and performance indicators by department.
    • Creation of Power BI / RShiny dashboards and didactic synthesis of results for the medical directorate and the performance unit.
    Python SQL Microsoft Power BI ETL/ELT Spark

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Education

  • Master 2 Data Project Manager & Artificial Intelligence
    Gema
    2025
    Master 2 Chef de Projet Data & Intelligence Artificielle
  • Bachelor's Degree in Pure Mathematics
    Université Polytechnique HF
    2022
    Licence 3 Mathématiques pures

Certifications

  • Professional Data Engineer
    Google

Skill set

Categories