About Thomas
- 🏗️ build a stack from scratch in a significant scaling environment and for immediate needs
- 📊 structure all reporting and the definition/tracking of metrics for 200+ people
- 🧑🤝🧑 manage data analysts and take on a coaching/mentoring role with individuals close to data (ops, product managers...)
- 🧑💻 train 20+ people in data literacy, data analysis, and dashboard construction and tracking
- 💲 identify business opportunities through data, frame and track cross-functional projects to implement these opportunities
- 🤝 be a central link between tech teams (CTO, engineering managers, devs, data eng, devops) and business teams (C-levels, VPs, Heads of, ops teams, sales teams, operational teams)
French
Native or bilingual
English
Fluent
Experience
- DeelData Platform EngineerHUMAN RESOURCESSeptember 2024 - Today (1 year and 9 months)
- Implemented the data stack (data warehouse, architecture and data modeling, cloud platform, BI tool)
- Deployed ingestion tools (airbyte, fivetran), orchestration (airflow), and modeling (dbt) in a context of large data volumes (~100GB per day)
- Created and maintained a set of "core" models used within a dbt project of 2000+ models
- Created data products for external clients
- Implemented best practices and processes to increase the productivity of ~60 people in the data team
- Defined a long-term data roadmap for this team
- Tactill
On Malt
Creation of a custom Airbyte connectorNovember 2023 - November 2023Paris, France- Discussions on different data ingestion methods and tools and their integration into a data stack- Queries on the Pappers API to retrieve company creation data in France- Development of a custom connector on Airbyte to retrieve data content from the API- Creation of Airbyte connections to load data into BigQuery - Julaya
On Malt
Implementation of a dbt model architectureNovember 2023 - November 2023Definition & specification of business needs, implementation of a dbt model architecture with Bigquery, creation of tables to display a set of business and operational metrics, documentation of models, addition of tests to ensure data quality, training to enable future evolution of models
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Education
- CentraleSupélecCentraleSupélec2019Diplome d'Ingénieur, Intelligence Artificielle, Machine Learning, Informatique, Statistiques, Traitement du Signal
- ESCPESCP EUROPE2017Semestre d'échange universitaire à Berlin, Économie, Marketing, Management, Finance