Samir Sayah

Samir Sayah is a seasoned Data Engineer currently employed at Pernod Ricard, leading the development of data ELT pipelines with Snowflake and dbt, while also engaging in DevOps/MLOps practices including CI/CD pipelines and infrastructure management on Azure. Samir has previously held positions at Openvalue and COLAS, focusing on data ingestion using Spark and deployment of machine learning models, and has experience at Airbus, where responsibilities included developing ETL pipelines and visual quality inspection algorithms. Samir holds degrees in Statistics, Machine Learning, and Computer Science from KTH Royal Institute of Technology and Sorbonne Université, complemented by a background in applied mathematics from Pierre and Marie Curie University.