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Florian BlanchetFB

Florian Blanchet

Data Engineer / DBT Airflow SQL

€750/day
8 projects
Montpellier, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Florian

I am passionate about using data and technical challenges. I have been working as anindependent contractor since 2018on all types of data-related missions:

-> **Collection**: API connections, Web Scraping, Databases, webhooks, Airbyte, Funnel, or via OpenData

->Processing**: Setting up Cloud data architectures, **ETL processing(Airflow, DBT, SQL) and creating API backends (Flask, Node.js, serverless).

->Storage**: In **data warehouses(PostgreSQL, BigQuery, Snowflake),data lakes(S3, GoogleCloudStorage, Redshift), document-oriented (MongoDB), graph (Neo4j), or TimeSeries (InfluxDB).

-> **Visualization**: Dashboards (Looker Studio, Dash) or Web

-> On a large number of **Clouds**: Microsoft Azure, Amazon Web Services, GoogleCloudPlatform, OVH, or Oracle.

I have had the opportunity to work on multi-month missions with **dozens of clients**, from large corporations to startups and SMEs.

Examples of clients: Doctolib, Accor, Suez, CNRS, Onepoint...

I would be delighted to discuss your projects!

To see my references in detail, visit my website:florianblanchet.fr
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Montpellier (up to 50km), Paris (up to 40km), Lyon (up to 10km), Marseille (up to 10km), Toulouse (up to 10km)

Experience

  • STUDI
    Lead Analytics Engineer
    EDUCATION AND E-LEARNING
    January 2026 - Today (7 months)
    Montpellier, France
    Leading online training provider.

    Managed the organizational and technical transformation of a Data department of 10 people, aiming to convert a fragmented legacy environment into a modern, industrialized, and collaborative infrastructure.

    Team Structuring and Change Management

    • Team Coordination: Transverse management of10 employees (6 Data Analysts, 4 Data Engineers)to align technical and business objectives.
    • **Team Life Management**: Instituted agile rituals (Daily, Weekly) and organized skill-sharing sessions to foster collective skill development.
    • Activity Management: Deployed Jira for **ticketing management**, providing increased visibility on the department's velocity and priorities.
    • **Technical Aculturation**: Company-wide onboarding on **dbt**, unifying work methods and disseminating SQL best practices throughout the team.
    *Code Standardization**: Implemented **Git(GitLab) coupled with a review and Merge Request process, ensuring the quality of deliverables.

    Architecture Overhaul and Technical Migration

    • Transition to **Medallion Architecture**: Designed a technical roadmap to implement a layered structure (Bronze, Silver, Gold), ensuring the availability of a certified "Gold" layer.
    • Creation of aSemantic Layerwith DBTMetricFlowand opened to anMCPfor querying data via Claude.
    • Migration of SQL Server views, scheduled queries, and stored procedures that fed Power BI dashboards and Machine Learning models.
    • **Orchestration Modernization**: Defined a Data Engineering roadmap to migrate isolated Python/Cron scripts to a centralized **Airflow**, thereby improving the reliability of all extractions.
    DBT Airflow BigQuery Semantic Layer MetricFlow
  • Scale-up et Grand Comptes
    Marketing Data Audit and Strategic Planning
    CONSULTING AND AUDITS
    August 2025 - December 2025 (4 months)
    Paris, France
    **Mission Objective**: Conduct a 360° diagnosis of marketing data maturity and deliver a roadmap to transition from volume-based (Leads) to value-based (ROI/LTV) management.



    **Methodology & Deliverables**:
    • **Technical Diagnosis & Tracking**: Analysis of the existing setup (GTM, Tagging Plans, CMP). Identification of collection gaps (signal loss, third-party cookies) and compliance risks (GDPR). Recommendation to transition to Server-Side Tracking and CAPI to ensure data reliability.
    • **Data Architecture Audit**: Mapping of data flows and identification of silos (Marketing vs. Sales vs. Tech). Highlighting data fragmentation (manual Excel, redundant tools).
    • Target Architecture Definition: Design and recommendation of a centralized"Modern Data Stack"(Extraction + Data Warehouse + DBT) to reconcile sources (CRM, Ads, ERP) and create a single source of truth.
    • **Management & Attribution Strategy**: Modeling of new financial KPIs for marketing (CAC, LTV, MRR). Recommendation of multi-touch attribution models to move beyond "Last-Click" and value the impact of Brand/Nurturing.
    • **Roadmap & Governance**: Development of a prioritized 12-month action plan (Build -> Run -> Scale) including recruitment needs (Marketing Data Analyst) and dashboard structure (Strategic vs. Operational).
    **Analyzed Environment**: Salesforce/Hubspot, Google Ads/Meta/LinkedIn, GA4/Piano/Matomo, BigQuery, Looker Studio/PowerBI.



    **Audited References**: Doctolib, Cegid, Santevet, Hexadone, JDC, Alterna Énergie, Assuropoil..
    Tracking Google Tag Manager modern data stack Data architecture data marketing
  • MOBSUCCESS
    SQL Query Migration to DBT
    PRESS AND MEDIA
    September 2024 - June 2025 (10 months)
    Paris, France
    Audit ofDBTandAirflowusage and recommendations for improvement.

    Long-term support for migrating advertising campaign dataSQLqueries toDBT(connected toAWS Athena**) with integration into the existing data model. Refactoring of transformation layers ( **medallion architectureand snowflake).

    Improvement of the DBTCI/CDpipeline on Github.

    Data transfers withGlue(AWS) /SparkandIceberg/parquetstorage.

    Setup of Aurora (PostgreSQL) databases to provide faster data access to the backend and reporting.

    Remote / 4 days per week.
    DBT Airflow SQL PostgreSQL CI/CD

Reviews

5.0

Out of 4 ratings

A

Antoine

MOBSUCCESS

Reviewed on 9/12/2024

Tasked with a short mission, Florian quickly grasped the business data and our DBT Stack, allowing for a rapid migration of SQL queries not yet integrated into our data models. Excellent technical advice with significant business value.
G

Guillaume

onefinestay France SAS

Reviewed on 2/8/2024

Florian has been working with us for 2 years. Initially, it was for a 6 months contract, consisting in migrating our data pipelines to work with the new systems we were implementing at time. Florian did very well, understood the business concepts quickly, our tech environment as well, meaning that the job was achieved in time, although it was not very easy with the amount of legacy transformation queries we had at the time. Since everything was going well, and that we had growing internal needs, I decided to continue working with Florian. He continued to clean up our legacy systems, and he migrated our whole ELT processes into DBT. He prepared training slides, and trained the teams internally. The job was achieved in less than 2 months. This greatly improved our ways of working, thus the internal teams satisfaction. Florian also worked on pushing our financial data coming from our backoffices to NetSuite. This was a very complex project, with multiple NetSuite customization needed. Florian never abandoned, even though it was really difficult to get all the required information sometimes. Florian worked on many other structural and strategic projects during these 2 years, and he never let me down. The only reason we had to stop working together is because we wanted to internalize the position, but Florian wanted to remain as a contractor, which I can fully understand. Florian is a true gem, he can work on very complex projects, and go to the bottom of them, without any doubts. He is also a very nice person, which is always a nice addition :) We will miss him, for sure.

Recommendations

Pierre BochetPB
FU
Pierre Bochet and 1 other person have recommended Florian

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Education

  • Specialized Engineer in Data Science
    Télécom Bretagne (Institut Mines Télécom)
    2018
    Diplôme d'ingénieur avec spécialisation en data science. Télécom Bretagne s'appelle aujourd'hui IMT Atlantique suite à la fusion avec les Mines de Nantes.
  • Dual degree in Management
    Grenoble Ecole de Management
    2019
    Spécialisation en management et marketing.

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