Summary
Ayoub Rmidi is a Cloud Data Engineer with nine years of experience building scalable data platforms and pipelines across GCP and AWS, currently driving cloud data initiatives at SFEIR. He has led end-to-end data projects in luxury and telecom sectors—implementing Terraform IaC, dbt transformations, Airflow orchestration and BigQuery analytics while translating stakeholder needs into production-ready user stories. At Christian Dior and Moët Hennessy he combined hands-on engineering with product ownership to deliver harmonized financial data marts and a senior-management KPI mobile app. Early work spans large-scale data engineering with Spark, Teradata migrations to BigQuery, and NLP/ML prototypes that served as REST APIs. A regular contributor to TowardsDataScience, Ayoub pairs technical depth with a continual learning mindset that keeps him exploring new cloud-native patterns and data-quality practices.
9 years of coding experience
6 years of employment as a software developer
Master of Research in Data Science & Big Data, Computer Science, Master of Research in Data Science & Big Data, Computer Science at Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes - ENSIAS
Fundamental License in Math and Computer Science, DataBase Administration, Fundamental License in Math and Computer Science, DataBase Administration at Université Hassan II Mohammedia
French, English, Arabic