Jonathan Ramier

Freelance consultant RAMIER DIGITAL CONSULTING within a team of 4 developers at Arkema, a world leader in specialty chemicals. Strategic mission: design a tool for modeling and monitoring greenhouse gas emissions at the group level, on a multi-stack AWS architecture.

▸ Updated the GHG modeling architecture to graph with AWS Neptune and openCypher — enabling relational queries between sites, products, and emission flows that were impossible with a classic SQL model.

▸ Developed Python data collection APIs on AWS Lambda, allowing each of the group's industrial sites to submit and consult their annual GHG data.

▸ Maintained Angular 21 / TypeScript visualization applications used by compliance and CSR teams to monitor emissions by site, product, and period.

▸ Integration of SAP and DataLake systems to centralize industrial data flows.

Stack: Python · Angular 21 · TypeScript · AWS Neptune · openCypher · AWS Lambda · Docker · Athena

The FFF manages applications for over 10,000 French football entities — clubs, leagues, districts. I joined a team of 6 in-house developers to strengthen and modernize these critical applications within the IT department.

▸ Reduced unnecessary re-renders by 60% on Angular 18 applications — measured via Chrome DevTools — by migrating to a reactive signals architecture and a generalized OnPush strategy.

▸ Delivered FastAPI APIs with hexagonal architecture on AKS, simplifying future evolutions for the entire team and significantly reducing production regressions.

▸ Implemented a comprehensive quality approach: unit tests, SonarQube, Azure DevOps CI/CD — transferred to the internal team to perpetuate the codebase after the mission.

Stack: Python 3 · FastAPI · Angular 18 · TypeScript · AKS · Azure DevOps · SonarQube · PostgreSQL

6-month mission at the General Directorate for Sustainable Development (CGDD). The Ministry department that drives the state's environmental strategy. Objective: to restore critical Python applications used by several government services.

▸ Increased test coverage from 0% to 65% on 4 Python Django REST APIs by introducing Pytest, Ruff, and Mypy — on a codebase that had never had automated tests.

▸ Reduced Docker build times by 50% measured in GitLab CI pipelines by refactoring Dockerfiles into multi-stage builds targeted by environment.

▸ Secured applications exposed via Keycloak SSO OAuth 2.0, by removing custom in-house authentication and standardizing access across all services.

▸ Established clean code standards (pre-commit, ruff, mypy) permanently adopted by the team after the mission ended.

Stack: Python 3 · Django REST · Docker · GitLab CI · Keycloak · PostgreSQL · Ruff · Mypy