Bagnur Medetbek

Data Engineer

Designed and deployed a research data quality framework with 15+ automated valida tion checkscovering uniqueness, completeness, and referential integrity, improving the reliability of datasets used across research projects and publications. • Built scalable ETL pipelines using Python, SQL, and Airflow integrating data from 30+ source systems, including PostgreSQL, REST APIs, and SharePoint; reduced pipeline failures by approxi mately 40% through proactive monitoring and automated retries. • Implemented data governance practices including metadata management, data lineage, and ac cess control, while leading development of an AI-driven data delivery platform for automated ingestion, metadata extraction, and personalized dataset delivery serving 500+ professors and researchers across 50+ countries.

• Reduced pipeline failures by approximately 30%
• Serving researchers across 50+ countries

Data Engineer

• Led a system optimization initiative across the Egov Information System, analyzing system load, identifying performance bottlenecks, and optimizing redundant SQL queries; reduced average response time by approximately 40%. • Developed and implemented 10+ data quality rules covering completeness, uniqueness, and consistency across key datasets, enabling proactive monitoring and improving analytical data reliability. • Contributed to an AI-powered chatbot for GOV.kz, focusing on data integration and pipeline development to unify multiple heterogeneous data sources into a single data layer used by 1,000+ government employees across Kazakhstan.