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Florent VandenbilckeFV

Florent Vandenbilcke

Data Engineer | Analytics Engineer | Expert Data

€555/day
Lille, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Florent

Data Engineer for 5 years with extensive experience in the insurance sector, I work on various data-related topics.

Here are the tasks I regularly handle:

**Analytics Engineering / Data Engineering**:


- Database migration to a modern stack (Snowflake, DBT, Python)
- Data collection and integration (API, Databases, Datawarehouses, Datamart, Datalake, SQL...)
- Data transformation in Extract, Transform, Load (ETL) and/or Extract, Load, Transform (ELT) mode (DBT, Talend)
- Optimization and reliability of data pipelines (SQL, CI/CD)
- Data Orchestration (Azure DevOps, Airflow, Jenkins)
- Data quality improvement
- Database documentation
- Creation and maintenance of data aggregation tables for analytical needs.
- Automation of recurring tasks and internal processes to improve team efficiency
- API creation for data restitution and availability (FastAPI)
- Application creation (Streamlit)

**BI Consultant / Data Visualization / Data Analyst / Business Analyst**:


- Dashboard creation for strategic decision-making
- Commercial dashboard creation for sales monitoring and management
- Marketing data extraction
- Facilitation of business workshops for requirements gathering
- Dashboard presentation to guide users and aid understanding

My main goal is to provide solutions and value through data by helping you solve your challenges.

I can easily simplify technical subjects and I am also very proactive and autonomous in my assignments.

Feel free to contact me to learn more about how I can help you address your challenges!
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • AG2R LA MONDIALE - GIE AG2R
    Analytics Engineer
    BANKING AND INSURANCE
    October 2025 - Today (10 months)
    Lille, France
    Participation in the project to migrate the Data environment to a stack comprising DBT, Google Cloud Platform (GCP), BigQuery, and Airflow:
    - I created optimized and documented DBT models (incremental, snapshots) for BigQuery (partitioning, clustering, CTEs...).
    - I automated documentation generation by implementing DBT packages (dbt-utils, codegen).
    - I implemented automatic tests on DBT to ensure data quality.
    - I set up a development and automation process on DBT to ensure best practices in model development using Python (invoke, subprocess, GitLab CI).
    - I orchestrated these models via Airflow DAGs (Cosmos).
    - I optimized historical SQL queries to improve their performance (processing time, data volume processed).
    DBT Data Migration Google Cloud Platform (GCP) BigQuery Airflow
  • Mutuelle GSMC
    Data Engineer
    BANKING AND INSURANCE
    September 2021 - Today (4 years and 11 months)
    Lille, France
    La Mutuelle GSMC is a health and provident mutual society existing for over 80 years and covering more than 200,000 members in France.

    I joined the Data team, whose mission is to collect, centralize, and redistribute all incoming data to help General Management and sales teams make the best strategic decisions.

    Responsibilities:

    - Migration of the company's data warehouse to a modern technical stack (Snowflake, DBT, Python, Azure DevOps)
    - Building end-to-end data pipelines (file retrieval, validation, integration, orchestration, deployment...)
    - Technical referent in data quality processing
    - Ensuring reliability and optimization of data pipelines
    - Automating internal company processes using Python, saving several hours per week
    - Implementation of the company's Business Intelligence tool
    - Gathering requirements and facilitating workshops to best meet user needs based on received data
    - Building a reporting tool centralizing all management data, used daily by a team of 20 salespeople on the Business Intelligence solution
    - Developing a set of reports to add value to all data used in various departments (Sales, Audit, Fraud, Legal, Accounting...)
    - Integrating received data into a unified model to ensure consistency and facilitate its use
    - Training and supporting the skill development of new internal technical profiles

    Environment: Snowflake, DBT, Python, Microsoft Azure DevOps
    Data Engineer DBT Snowflake Azure DevOps Python
  • Mutuelle GSMC
    Data Engineer
    BANKING AND INSURANCE
    March 2021 - September 2021 (6 months)
    Lille, France
    La Mutuelle GSMC is a health and provident mutual society existing for over 80 years and covering more than 200,000 members in France.

    I joined the Data team, whose mission is to collect, centralize, and redistribute all incoming data to help General Management and sales teams make the best strategic decisions.

    Responsibilities:

    - I participated in the initial phase of the data warehouse construction project using PostgreSQL, Talend, and Jenkins tools.
    - Cleaning historical data files to enable their integration.
    - Building the first data pipelines using Talend to integrate historical files into the data warehouse.
    - I participated in the implementation of the company's BI tool and built the first reports.
    - I participated in the management of the CRM improvement project, particularly regarding the quality of data integrated into it.

    Technical Environment: PostgreSQL, Talend, Jenkins, Git
    PostgreSQL Talend Open Studio Jenkins Data Engineer Git

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Education

  • Engineering Degree
    Institut Mines-Telecom Nord Europe
    2021
    Big Data - Data - Management

Skill set

Categories