Pierre-Louis Landouzi

- Designed and built the company's data platform from scratch, handling multi-gigabyte datasets across multiple data sources - Implemented end-to-end ELT pipelines using Python, Pandas and orchestrated via Kestra - Participate to a major technological migration, transitioning legacy systems to a modern cloud-native architecture - Deployed containerized services on Kubernetes with Helm charts and Terraform for infrastructure as code - Established data governance practices: versioning strategy, package manage

- Contributed to a transportation research project as part of a 5-student EPITA team - Built a data pipeline processing tens of GB daily from multiple transit data sources - Performed source data analysis, cleaning, visualization, and technical presentations to stakeholders - Final grade: 20/20 Tech: Python · Pandas · NumPy · scikit-learn · Data Visualization

- Refactored and optimized the backend architecture, improving system performance - Developed robust web interfaces following MVC architecture patterns - International experience in a fast-paced fintech startup environment - Final grade: 17.2/20 Tech: Python · Bash · Web Development · MVC Architecture