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Denis Thong VanDT

Denis Thong Van

Data Engineer | Azure/Fabric | Matillion/Snowflake

€350/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Denis

▶ ETL/ELT & Orchestration

Design, optimization, and redesign of pipelines (Azure Synapse, Azure Data Factory, Apache Spark)

Data modeling and quality

▶ Big Data Processing

Apache Spark for distributed processing of large volumes

SQL database management and advanced Python scripting

Medallion Architecture

▶ Microsoft Ecosystem

Azure and Power BI Certified

DataOps with Azure DevOps (CI/CD, continuous integration)

Power BI for creating strategic dashboards and KPIs

Proficiency in Microsoft Fabric (unified environment)

▶ Methodologies & Soft Skills

Agile Scrum for project management

Precise and operational technical documentation

Autonomy in complex problem-solving
  • French

    Native or bilingual

  • English

    Conversational

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

Experience

  • DATA-ON
    Data Consultant
    June 2023 - Today (3 years)
    Levallois-Perret, France
  • Sisley Paris
    Data Engineer
    June 2024 - November 2024 (5 months)
    Saint-Ouen-l'Aumône, France

    Creation of automated workflows (Jobs) to perform data transformations using Matillion
    Orchestration of data transformation jobs
    Ingestion of data from SAP / Files into datalake tables from Matillion
    Creation and population of data warehouse tables in Snowflake
    Development, testing, and deployment of Matillion Jobs
    Use of Python in Matillion for faster file movement/archiving after processing
    Writing / Maintaining delivery tracking in testing and production
  • Groupe Héron
    Data Engineer
    September 2023 - June 2024 (9 months)
    Paris, France
    Implementation of a complete analytical solution, in lakehouse mode (medallion architecture) built within the Microsoft Fabric ecosystem
    Creation of a generic data feeding framework for the silver layer (data quality) using Spark
    Data ingestion into the bronze layer (raw data) by setting up a module entirely in Python to copy files from the client's SFTP
    Populating the Gold and Platinum layers of the lakehouse with Spark notebooks, with one spark notebook per table to take into account client specificities
    Using Fabric Pipelines to orchestrate and schedule all processing
    Data modeling with Power BI
    Setting up a weekly maintenance process
    Writing specifications

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Education

  • Professional Title (TP) Level 6, Data Analyst
    LePont
    2023
    Titre professionnel (TP) de niveau 6, Data analyst
  • Professional Title (TP) Level 6, Data Analyst
    OpenClassrooms
    2022
    Titre professionnel (TP) de niveau 6, Data Analyst

Skill set

Categories