Ayoub Rmidi

Cloud Data Engineer

Greater Paris Metropolitan Region France
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
job7 years of employment as a software developer
bookMaster 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
bookFundamental License in Math and Computer Science, DataBase Administration, Fundamental License in Math and Computer Science, DataBase Administration at Université Hassan II Mohammedia
languagesFrench, English, Arabic
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Github Skills (6)

testing8
machine-learning-models7
python5
google-cloud4
topic-modeling2
pytorch2

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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This project shows step by step how to build a machine learning model that can predict the price of a car based on its features by testing many Machine Learning models and comparing between them.
Contributions:5 commits, 4 pushes, 1 branch in 2 years
machine-learning-modelstesting
Contributions:7 commits, 6 pushes, 1 branch in 1 month
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