Julien L.

🔍 Context:

Jellysmack is a company specializing in the creation, publication, and monetization of videos on social media. They work with influential content creators to produce high-quality videos for platforms such as Facebook, Snapchat, TikTok, and Instagram. The purpose of the product I worked on is to find the most promising creators, visualize key data, and enable the automatic generation of offers from them.

🎯 Missions:

- Development of Python REST APIs (FastAPI) Migration of legacy APIs (Node.js)

- Creation of ETL jobs (Airflow, AWS Glue, Celery)

- Cache management

- Optimization of creator search with OpenSearch

- Documentation setup

- Development of an event-driven architecture (Lambda, S3, SQS)

- Monitoring code quality (pre-commit, coverage, Sonarcloud, black, pylint, bandit, mypy, unit tests, integration tests, clean code, code review)

- Creation and maintenance of the infrastructure

🔧 Technologies:

Python, Node.js, Typescript, Redis, MySQL, Redis, AWS (Redshift, RDS, SQS, SNS, Lambda, Glue, Airflow, OpenSearch, S3, Appflow), Terraform, Docker, Kubernetes, Helm, ArgoCD, Gitlab CI

📙 Main Libraries:

FastAPI, pydantic, sqlalchemy, pytest, aws_lambda_powertools, pyspark, opensearch-dsl

🔍 Context:

FIME is a key player in the field of certification of technologies enabling electronic transactions. The FIME catalog has a wide range of services and testing tools to serve its customers from various sectors: banking, telecom, transport, or identity. The project aimed to automate the entire chain that allows the testing of smart cards and payment terminals.

🎯 Missions:

- Development of Python REST APIs (Django/FastAPI/Node.js, Tornado)

- Cache management

- Optimization of test performance on cards

- Creation of the web interface and software for the automatic testing product

- Containerization of all software bricks with Docker

- Orchestration of services with Kubernetes

- Documentation setup

- Monitoring code quality (pre-commit, coverage, Sonarqube, black, pylint, bandit, mypy, unit tests, integration tests, clean code, code review)

- Use of AWS services

- Development of a connector (Electron) to test payment terminals remotely

🔧 Technologies:

Python, Node.js, Redis, WebSocket, MySQL, Angular, Typescript, Vue.js, C#, Docker, Kubernetes, Gitlab CI, Electron, AWS, Sonarqube

📙 Main Libraries:

Django, FastAPI, pydantic, celery, tornado, sqlalchemy, unittest, websockets, storybook, jest, tailwind

PHP and SQL development of the intranet

Git

Documentation setup