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Dieynaba DiaoDD

Dieynaba Diao

Senior Data Engineer & Architect Consultant

€600/day
Paris, FR
8-15 years

Average response time: 1 hour

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About Dieynaba

Data Engineer expert with 13 years of experience on critical projects (Banking, Insurance, Energy, Telecoms), I work from ingestion to delivery: Lakehouse architecture, complex ETL/ELT pipelines, governance and MDM.
Available immediately — Hybrid (Île-de-France + remote) — Daily rate: €600-700

Architecture & Modern Data Stack
Design of Medallion (Bronze/Silver/Gold), Data Vault, and Star Schema architectures on Microsoft Fabric (OneLake, Lakehouse), Snowflake, and Databricks.

Data Engineering & Pipelines
Development of complex ETL/ELT pipelines with Semarchy xDI, ODI 12c, Azure Data Factory, SSIS. Processing of critical streams in Python/PySpark and advanced SQL.

MultiCloud Cloud
Microsoft Azure (Fabric, Synapse, ADF, ADLS Gen2) · Snowflake · Databricks · GCP (BigQuery) · AWS (S3, Glue, Redshift).

DataViz & Reporting
Power BI (advanced DAX, Semantic Models), SSRS — strategic and operational dashboards.

Governance, MDM & Quality
Semarchy xDM, Microsoft MDS, GDPR, Data Quality, CI/CD (Git, CloudBees).

**Key Clients**: RTE · SFR · MGEN · ENEDIS · TOTAL · Air Liquide · BNP Paribas
  • French

    Native or bilingual

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

Experience

  • PROJET PROFESSIONEL
    End-to-End Data Architect | Microsoft Fabric
    February 2026 - March 2026 (1 month)
    Context
    Implementation of an automated monitoring solution for a fleet of 3
    wind turbines (IoT data every 10 min).
    Actions
    Processing
    Development of Python Notebooks (PySpark) for data
    cleaning and enrichment
    Visualization
    Creation of a unified semantic model and Power BI reports
    for production monitoring (kWh)
    Ingestion & Storage
    Configuration of a Lakehouse on OneLake and orchestration via
    Data Pipelines
    Monitoring: Implementation of an alerting system via Data Pipelines
    to detect ingestion failures (10-min freshness SLA).
    Documentation: Writing a corrective maintenance guide for
    restarting data flows
    Technical Environment
    Microsoft Fabric, OneLake, Lakehouse, Python, PySpark, Power BI
    Data Pipelines, Notebooks
    Microsoft Fabric
  • MGEN
    Freelance Senior Data BI Consultant / Semarchy xDI(Stambia) ETL-Dataviz(Power BI-Report Builder)
    ENERGY AND UTILITIES
    March 2024 - Today (2 years and 3 months)
    Paris, France
    •Management of the extraction and industrialization of critical indicators for feeding a business application and a "Risk" decision-making datamart.
    •Achievements:
    •Autonomous end-to-end management of Data projects
    •Translation of business needs into technical solutions (SFD, business rules)
    •Design and development of complex ETL flows using Semarchy xDI
    •Populating and maintaining a decision-making datamart
    •Implementation of automatic data quality and validation controls
    •Reverse engineering of existing flows to ensure service continuity
    •Design and update of decision-making reporting
    •Industrialization and deployment (Git / CI-CD)
    •Technical Environment:
    •Semarchy xDI (Stambia), SQL, Datamart, Data Quality, Git, CI/CD, Report Builder, Insurance / Risk
    Gitlab CI/CD ODI SQL Semarchy xDI Semarchy xDM
  • RTE
    Data Migration Support
    ENERGY AND UTILITIES
    January 2021 - Today (5 years and 5 months)
    Puteaux, France
    Organization, preparation, and facilitation of workshops
    Participate in the creation of mockups
    Writing detailed technical and functional specifications
    Writing functional tests and test strategy
    Impact analysis related to data protection
    Design data synchronization mechanisms
    Star data modeling with Data Modeler
    Needs Analysis: In collaboration with business teams to understand specific requirements related to data integration, Audit of source data
    Technical Design: Development of data models and detailed technical specifications to ensure robust and scalable design of integration solutions.
    ODI Development: Creation of interfaces, packages, and data integration procedures. Management of ODI agent scheduling and execution planning,
    Using native ODI IKM, LKM, and CKM
    Development of ODI SQL, PL/SQL procedures
    SCD data historization mechanism
    Data synchronization mechanisms (FULL, DELTA, and CDC)
    Performance Optimization: Optimization of SQL queries and improvement of ETL process execution times
    Data Quality: Implementation of data quality controls to ensure data integrity and consistency throughout the process
    Evolutionary Maintenance: Managed changes to existing integration systems based on business changes and new requirements.
    Training and Support: Provide training to end-users and ensure continuous technical support to guarantee the proper functioning of implemented solutions
    Power BI technical support
    Using Power Query to extract and transform data from various sources
    Creation of interactive and dynamic dashboards
    Execution of DAX queries and functions
    Create, test, and deploy Power BI scripts
    Medallion Architecture

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Education

  • Master 2 in Decision Informatics
    University of Reims
    2011
    Master 2 Informatique Décisionnel
  • Master 2 in Medical Imaging
    University of Tours
    2010
    Master 2 Imagerie Médicale

Certifications

  • SCRUM MASTER Certification
    ORSYS
    2022
  • Power BI PL-300
    orsys
    2022

Skill set

Categories