About Vincent
French
Native or bilingual
English
Fluent
Experience
- Société GénéraleJS Fullstack DeveloperOctober 2021 - Today (4 years and 8 months)FranceDevelopment of the intermediation platform between lawyer and SG employee needing legal assistance. Team: 1 PO, 1 PPO, 1 Scrum Master, 1 Tech Lead, 6 developers, 2 graphic designers Technical environment: Javascript, Typescript, React, NextJS. Postgres, Docker, Kubernetes, NestJs, redux, bootstrap, Jest, AWS, MacOs, Windows, Github, Gitlab• Development of various micro-services/REST APIs based on OpenAPI specifications for data querying.• Implementation of CI/CD with Github actions.• Implementation of unit tests with Jest using the TDD approach.• Development of a front-end application in React for SG users and a back office for administrators.• Deployment on Docker/Kubernetes in SG's on-premise environments and on AWS.
- MextJS FullStack DeveloperDecember 2020 - October 2021 (10 months)Paris, FranceDevelopment of an online exhibition/conference application (e.g., Agricultural Show, Student Fair…) in the Metaverse. Team: 1 Tech Lead, 3 developers Technical environment: Javascript, Typescript, React, Nextjs, Graphql, Postgres, Docker, Kubernetes, NestJs, redux, TailwindCSS, Netlify, Github• Development of various micro-services/REST APIs.• Implementation of good development patterns like dependency injection and generic repositories.• Implementation of unit tests using the TDD approach.• Deployment on Netlify.
- Capital Fund Management (CFM)Data EngineerSeptember 2019 - December 2020 (1 year and 3 months)Paris, FranceDevelopment, maintenance, and orchestration of data processing pipelines for AI models for trading in stock markets. Team: 1 PO, 1 Tech Lead, 3 data engineers Technical environment: Python, Spark, Hive, Airflow, Docker, Kubernetes, Kafka, Tableau, Jupyter Notebook, Flask, Angular, Postgres, Red Hat• Creation of data processing pipelines for consumption by artificial intelligence models and reporting on Tableau.• Industrialization of AI models: co-development with Data Scientists of the AI model in a Python Spark environment.• Analysis and optimization of various production scripts.• Implementation of micro-services/APIs for data querying with Flask.• Orchestration of various pipelines on Airflow• Development of a back office allowing the team to manage and monitor the application in real-time
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Education
- Computer Science Training42
- Master in ManagementSKEMA BS2019