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ABDERRAHIM ABKHTI

@abderrahimabkhti

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Big Data developer student focused on cloud, NoSQL, Hadoop, and ETL-driven decision insights.

Morocco

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What I'm looking for

I’m looking for a hands-on role in Big Data where I can deploy cloud-based data solutions, build ETL pipelines, and work with NoSQL/Hadoop stacks—while applying machine/deep learning to create real, data-driven alerts and dashboards.

I’m an étudiant en Big Data, passionate about cloud technologies, NoSQL databases, and the Hadoop ecosystem. I’ve built skills in deploying Big Data solutions on cloud, managing distributed data, and using tools like HDFS, Hive, and MongoDB to extract insights that support decision-making.

I also enjoy turning data into intelligent products through ETL and machine/deep learning. From Talend-based ETL and reporting to a CNN model for real-time driver fatigue alerts, and a real-time wind turbine data pipeline using MQTT with Redis buffering and MongoDB persistence, I focus on reliable ingestion, clean data, and actionable outputs—using frameworks such as PyTorch, TensorFlow, and Scikit-Learn.

Experience

Work history, roles, and key accomplishments

Big Data Developer

CMC Casablanca-Settat

Jan 2024 - Jan 2026 (2 years)

Applied Big Data and cloud concepts by building ETL and distributed-data workflows using Hadoop ecosystem tools (HDFS, Hive) and MongoDB. Developed projects including a real-time wind turbine data pipeline (MQTT, Redis buffer, MongoDB) and a CNN-based driver fatigue detection prototype.

Python SQL HDFS Hive Spark MongoDB Talend ETL Redis

Education

Degrees, certifications, and relevant coursework

CMC Casablanca-Settat

Formation technique spécialisée, Intelligence Artificielle et Big Data

2024 - 2026

Formation technique spécialisée en intelligence artificielle et big data, avec acquisition de compétences en déploiement de solutions Big Data sur le cloud et gestion de données distribuées. Réalisation de projets ETL (Talend), deep learning (CNN) et d’un pipeline temps réel IoT via MQTT, Redis et MongoDB.