About Thibault
- **Data Engineering**: Data collection and transformation (ETL/ELT), optimized data pipelines, orchestration (Airflow), monitoring, and data quality.
- **Data Science**: ML model deployment and productionization, predictive analysis, NLP, anomaly detection, and process optimization.
- **Stack**: Python, SQL, Spark, API, AWS, Docker.
French
Native or bilingual
English
Fluent
Experience
- Engie GreenData Engineer / Data ScientistENERGY AND UTILITIESJanuary 2025 - Today (1 year and 6 months)Montpellier, FranceRetrieval and analysis of historical data for renewable assets• Design and development of a parsing and integration pipeline for heterogeneous internal data (Python, Airflow, AWS, Flask), ensuring data collection and unification• Advanced analysis of load curves and temporal data quality control to detect and correct inconsistencies• Creation of an automated validation program to identify anomalies and missing data, ensuring optimal data quality• Development and implementation of control dashboards (Power BI, Flask) for real-time data quality monitoring• Optimization of pipeline performance to ensure reliable, scalable, and automated processing of large-scale data
- EDATERData Scientist / Data EngineerJanuary 2021 - December 2023 (3 years)Montpellier, FranceModeling the economic weight of the maritime and tourism sectors- Classification of business descriptions by NLP in collaboration with the client, improving the accuracy of NAF classification- Modeling of turnover and added value of companies based on URSSAF and MSA data- Multi-regional deployment: Nouvelle-Aquitaine (2021), Occitanie (2022)Surface analysis of agricultural territories in Brittany (2010-2020)- Accreditation for processing sensitive data on a secure access system (CASD) for agricultural census at the individual level- Counterfactual analysis between subsidized and non-subsidized farmers and aid schemesTime series analysis of the trajectory of failing companies- Retro-engineering of failure patterns to identify recurring patterns preceding failure- Prediction of at-risk companies by integrating variables such as the duration of a status, the business sector, geographical location, etc.Creation of a business information system (IS) (~50M companies)- Monthly data processing pipeline (activity, employment, GPS, and financial data) in open data (SIRENE, BODACC, RNCS) with Python- Matching algorithm to find companies by company name (+300% speed improvement of existing process through optimization and parallelization)
- Business & Decision (B&D)Data AnalystApril 2018 - April 2020 (2 years)Montpellier, FranceMissions for CDC Habitat- Migration of reporting from Hummingbird BI to Qlikview, with the creation and deployment of dashboards (assets, procurement, sales, CRM, etc.)- Development and evolutionary maintenance for the centralization and pooling of IT services (Trajectoire 2022 project)- Ticket processing (Jira), documentation (Confluence), versioning (git)Missions for EFIDIS - Application Manager- Programming of monthly refreshes and data qualification- Ticket processing (SAP BO)
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Education
- English C1EF School - Manchester (U.K.)2024Programme d'immersion intensive
- D.U. - Data Science & Big DataUniversity of Montpellier - France2021Python, SQL, NoSQL, Tensorflow, Actuariat, Économétrie, Statistiques