π― Data Engineer | Machine Learning Engineer | ELT Pipelines | MLOps | CI/CD Automation
I am a Data Engineer in professional transition, specialized in building modern ELT data pipelines using Airbyte, dbt, Snowflake, and Airflow to transform raw data into actionable marketing insights and robust, production-ready machine learning models.
π» Currently completing the Fullstack & Lead Data Science bootcamp at Jedha, I focus on:
- Designing and automating ELT data pipelines (Airbyte, dbt, Snowflake, Airflow)
- Data analysis and modeling (Machine Learning, Scikit-learn)
- Deploying robust ML APIs (FastAPI) and implementing production monitoring (MLflow, Evidently)
- Automating workflows and deployments with CI/CD best practices for scalability, quality, and maintainability
π¨ Key Projects:
- Development and deployment of a Machine Learning prediction model with a Streamlit application to showcase inference results.
- End-to-end data pipeline project: from data ingestion (Airbyte) and transformation (dbt), to cloud data warehousing (Snowflake), ML modeling, API deployment (FastAPI), orchestration (Airflow), MLOps monitoring (MLflow, Evidently), and CI/CD automation for continuous delivery.
π« Get in touch or collaborate:
- π§ Email: thibaut.modrin@gmail.com
- π± Contact: 06.28.43.22.10
- πΌ LinkedIn: My LinkedIn profile
- π Book a meeting: Calendly 30 min
π A bit about me:
I've always been drawn to data without realizing it. Passionate about travel, a true connoisseur of Costa Rica π¨π·, an epicurean at heart, and a salsa πΉ enthusiast, I believe curiosity and enjoyment are the best drivers for learning and growth.