Thibault Bezpalko

Data Business Analyst with a technical background, I am involved in the entire data lifecycle: requirements gathering, writing technical and functional specifications, data modeling, ingestion, cleaning, validation, and provision.

At Enedis, I contributed to the ingestion via SQL and the provision via APIs of data from over 30 million smart meters daily for territorial energy management.

I participated in the application of GDPR by generating anonymized data using Python.

At Société Générale, I was responsible for modeling, integrating, and validating internal banking control data within the data warehouse (Hadoop). Presented through Power BI reports, this data was used to monitor the quality of data entry and execution of these controls.

At CACEIS, I am currently involved in migrating financial reporting related to client portfolio valuation.

Holder of an RNCP level 7 title 'AI Project Manager' (Mines Paris x Datascientest), I strengthened my cross-functional skills in Data Analysis, MLOps (API, DVC, MLflow, Airflow, Prometheus, Grafana, Kubernetes), Data Product Management, and Generative AI (LLM, RAG) during this year-long training.

I work in international English-speaking and agile environments (Scrum, SAFe).

Formerly a certified teacher in physical and chemical sciences, I also share my knowledge outside of work: facilitating workshops on climate, biodiversity, and digital topics, empathy listening sessions, and tutoring. These commitments reflect my desire to work on meaningful projects that benefit society and support ongoing transitions (particularly in energy, transport, water, and waste management).