Freelancer profile translated to English.
Back to original languageAbout Thomas
◉ A little about me ⤵︎
👨💻 Data Engineering Expert · Modern Data Stack · Analytics
🎓 Databricks / dbt / AWS
⚙️ +200 financial reports migrated across 50+ countries at Decathlon
🧑💼 +8 years of experience in analytics infrastructure & data
🔹 I build end-to-end data pipelines, from raw source to dashboard
🔹 Zero manual intervention on production pipelines
🔹 My obsession: eliminating IT dependencies that hinder business decisions
◉ My clients ⤵︎
Decathlon · SNCF Immobilier · OPmobility (formerly Plastic Omnium) · Eutelsat
◉ Here are the missions I regularly undertake ⤵︎
Data Engineering | Modern Data Stack | Analytics Architecture
- Scoping data needs with business, finance, and IT teams
- Building end-to-end pipelines: ingestion, dbt, Airflow, BI exposure
- Migrating legacy stacks to modern architectures (Databricks, Snowflake, BigQuery, AWS)
- Rationalizing dashboards: eliminating duplicates, reducing costs, establishing a single source of truth
- Coordinating between business and IT to ensure data alignment
Data QA | Testing & Validation | Dashboard Rationalization
- Data testing strategy and coordination of validation phases (unit, functional, UAT)
- Quality governance: roles, tools (dbt tests), rituals, validation processes
- Writing test cases for pipelines and dashboards (PowerBI, Tableau, Qlik)
- Managing test campaigns with anomaly tracking and reporting
- Ensuring reliable production deployment via CI/CD (Github Actions, Gitlab CI/CD)
Available 7 days a week via Malt messaging.
Response within an hour.
French
Native or bilingual
English
Fluent
Can work on-site
Lille (up to 20km)
Experience
- Crédit Agricole Personal Finance & MobilityLead Analytics EngineerBANKING AND INSURANCEApril 2026 - Today (2 months)Roubaix, FranceI was assigned as Lead Analytics Engineer to structure and upskill the entire Data department, in a context of migration towards a Modern Data Stack where teams needed to quickly adopt new tools and practices.Developments were heterogeneous, standards were absent, and architectural choices were rarely challenged against the IT department's proposals.Actions taken:
- Design of a complete training program (Onboarding, Fundamentals, Advanced) covering the entire target stack
- Facilitation of training sessions, practical workshops, and masterclasses to accelerate team upskilling
- Building a reference knowledge base (Wiki, Tutorials, Best Practices) as a single entry point for all Data profiles
- Industrializing developments through a GitLab CI template library covering major use cases
- Defining golden rules for development: naming conventions, repo structure, branching strategy
- Creation of a central "core" dbt project for shared macros and internal packages
- Technical guarantor role: challenging architectural choices and IT department proposals to ensure overall stack coherence
👉 Results achieved:- A structured Data department with a common repository mastered by all teams
- Standardized and reproducible pipelines, reducing time-to-deployment
- Coherent technical governance, with better-arbitrated architectural decisions
- DecathlonAnalytics Engineer | Modern Data StackRETAIL (SMALL BUSINESS)January 2024 - April 2026 (2 years and 3 months)Lille, FranceI was assigned to Decathlon to structure and stabilize their Modern Data Stack, in a context where data needs were exploding but the foundations remained fragile.Business teams relied on scattered, often redundant, sometimes unused reports built on hard-to-maintain legacy pipelines.Actions taken:
- Handling new business needs end-to-end, up to providing aggregated data for Tableau dashboards
- Migrating Talend pipelines to the Modern Data Stack, re-qualifying needs in the process
- Rationalizing the dashboard inventory: merging, decommissioning costly and underused reports
- Building a centralized semantic layer on Decathlon's strategic indicators for consistent interpretation by all teams
- Preparing this layer for use by LLMs and GenAI applications
👉 Results achieved:- Reduction in the number of active dashboards, with a direct impact on infrastructure costs
- A single source of truth for strategic metrics, unambiguously accessible
- A data stack ready for AI applications
- DecathlonData Engineer | Modern Data StackRETAIL (SMALL BUSINESS)December 2022 - January 2024 (1 year and 1 month)Lille, FranceDecathlon's Finance Business Unit relied on an aging analytics stack centered on Qlik Sense, with hundreds of production dashboards and pipelines that could no longer handle the load. A complete infrastructure overhaul was necessary to ensure data reliability and modernize visualization.I worked within the data team on building and deploying the Finance BU's Modern Data Stack, basing the entire infrastructure on AWS and supporting the transition from Qlik to Tableau.Actions taken:
- Designing a medallion Lakehouse architecture on AWS (S3, Glue), structuring pipelines from raw ingestion to analysis-ready aggregates
- Migrating legacy Talend transformation pipelines to dbt, to modernize the processing layer and improve maintainability
- Implementing transformation pipelines using dbt, leveraging Databricks to handle volumes at the scale of an international business unit
- Automating processes and dashboard refreshes via Airflow, to ensure reliable updates without manual intervention
- Migrating Qlik Sense dashboards to Tableau, supporting the shift to a visualization tool better suited for modern analytical uses
👉 Results achieved:- Hundreds of migrated dashboards operational in Tableau
- A reliable and modern analytics infrastructure, sized for the volumes of Decathlon's Finance BU
- A unified cloud foundation on AWS that opens new analytical capabilities for the data team
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Education
- Master MIAGE IPI-NT (Information Systems Engineering - New Technologies), Computer ScienceUniversité Lille 1 Sciences et Technologies2017Master MIAGE IPI-NT (Ingénieurie Projet Informatiques - Nouvelles Technologies), Informatique
- Bachelor MIAGE, Computer ScienceUniversité Lille 1 Sciences et Technologies2015Licence MIAGE, Informatique