Erjan K is a data engineer with a decade of hands-on experience building end-to-end ETL and streaming solutions across cloud and on-prem environments, currently developing an AI-powered insights platform for ADQ. He has moved data infrastructure onto Kubernetes and cloud platforms, optimized query performance by 35%, and architected pipelines that processed terabytes of gaming and enterprise data with 100% validation accuracy. His work saved roughly $100k for a top Central Asian bank and cut weekly reporting overheads through pragmatic automation and ETL design. Comfortable across Snowflake, Spark, Azure DevOps, Airflow, HiveQL and T-SQL, he blends analytics, engineering and stakeholder communication to turn complex data into reliable business signals. Notably, he improves model and score accuracy (e.g., boosting a country-score metric by 10%) by integrating diverse economic and geopolitical data sources.
11 years of coding experience
6 years of employment as a software developer
bachelor of computer science Mathematics and Computer Science, bachelor of computer science Mathematics and Computer Science at University of Waterloo
Contributions:11 PRs, 26 pushes, 12 branches in 2 years 1 month
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