Anir Sadiqui

Introduction

I design and industrialize reliable, scalable data architectures capable of supporting complex pipelines and high-value Machine Learning use cases. My experiences have allowed me to build a strong end-to-end understanding of the data lifecycle, including: • Design and optimization of ETL/ELT pipelines (batch & streaming) • Implementation of Big Data and cloud-native architectures • End-to-end development and deployment of Machine Learning models • MLOps integration: monitoring, automation, CI/CD, and data quality management I bring together engineering rigor, product-oriented thinking, and the ability to transform raw data into intelligent, high-performing, and production-ready systems. I am currently seeking a 6-month end-of-studies internship (PFE) in Data Engineering or ML Engineering, where I can contribute to building robust data platforms, industrializing AI models, and driving innovative, impactful projects. Je recherche un stage de fin d’études en Data Engineering / ML Engineering où je pourrai contribuer à la création de plateformes data robustes, industrialiser des modèles IA et participer à des projets innovants à fort impact.

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