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Emilienne MallaEM

Emilienne Malla

Senior Data Engineer (Databricks)| Data Analyst

€700/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Emilienne

Graduated engineer in Big Data & Data Science, I design and industrialize robust and scalable data pipelines on Azure, AWS, and Databricks environments, for major players such as ENGIE IT, Microsoft, SNCF, and Chanel.
I work on the entire data value chain: ingestion, transformation, modeling, exposure, and data governance, up to the delivery via Power BI and Tableau decision-making dashboards. My expertise covers Python, SQL, and Spark, with a strong DevOps (CI/CD, DAB, Terraform) and Agile culture.
Accustomed to collaborating with business teams, I support needs framing, workshop facilitation, and presenting results to management.
  • French

    Native or bilingual

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

Experience

  • CHANEL SAS - GDS Chanel.com
    Analytics Engineer
    LUXURY GOODS
    May 2026 - Today (1 month)
    Prototype & Collection Cost Monitoring
    Databricks Medallion Architecture (Bronze/Silver/Gold/Platinum) with Unity Catalog
    Semantic Layer: Metric Views & Materialized Views for L1/L2/L3 dashboards
    Collection cost monitoring pipeline (budget, commitment, billing)
    Deployment via Databricks Asset Bundles (DAB)
    Unity Catalog RLS
    Databricks SQL Python Programming Azure DevOps Microsoft Power BI
  • SNCF
    Data Engineer Lead
    TRANSPORTATION
    July 2023 - January 2024 (6 months)
    Migration of 36 projects from HDInsight to Databricks
    Adaptation/refactoring of code (python, sql, scala, and .sh) within the Databricks ecosystem
    Workflow configuration
    Code compliance with our development best practices on Azure DevOps
    Ensuring delivery quality (Code review, development support, attention to documentation)
    Databricks Azure DevOps Python Programming SQL Amazon Web Services
  • ENGIE
    Data Engineer
    ENERGY AND UTILITIES
    September 2024 - April 2026 (1 year and 7 months)
    Implementation of a data platform
    Implementation of various business use cases (Refactoring, Repository Reconciliation...) on Databricks
    Writing robust, scalable, and generic PySpark code
    Pipeline/workflow configuration and deployment via asset bundles
    Optimization of Power BI reports and documentation on Collibra.

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Education

  • Digital Engineering Degree, Big Data/Data Science Option
    ESAIP
    2020
    Diplôme d'ingénieur du numérique option Big Data/Data Science

Certifications

Skill set

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