Meirkhan Rakhmetzhanov is a Manager Data & AI based in Paris with eight years of hands-on experience designing and operating scalable ETL, batch and real-time data platforms—primarily on GCP. He progressed from PL/SQL and recommender systems to building cloud geoprocessing clusters, Kafka streaming components, and automated pipelines using tools like Airflow, BigQuery, Spark and Dataiku. Known for bridging data engineering and product needs, he has owned end-to-end services (from bare-metal Django to Redis-backed recommenders) and delivered pragmatic data-quality and enrichment practices for geospatial and business data. Comfortable leading teams, he also contributes to engineering craft through tooling and pipeline automation, and brings a multi-disciplinary academic background in data, knowledge and intelligent systems. A practical problem-solver, he often blends low-level system work (Kafka connectors, Golang tooling) with high-level architecture to accelerate analytics and ML readiness.
8 years of coding experience
8 years of employment as a software developer
Master's degree Data and Knowledge, Master's degree Data and Knowledge at Télécom Paris
Master of Science - MS Intelligent Systems, Master of Science - MS Intelligent Systems at Kazakh-British Technical University
Bachelor Computer Science, Bachelor Computer Science at Suleyman Demirel University
Contributions:11 pushes, 1 branch in 4 years 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.