Gamal Elkoumy is a Senior Data Engineer with 11 years of experience building scalable data platforms, currently shaping Veriff’s modern data stack after leading lakehouse migrations and performance optimizations at Apromore. He combines deep research credentials—a PhD focused on privacy-enhancing technologies for process mining—with hands-on expertise in Apache Iceberg, Spark, Trino and AWS to deliver faster, cost-efficient analytics pipelines. Gamal has a proven track record of reducing processing times and improving query performance, and he builds production-grade root-cause analysis tools across finance, order management and field operations. He also champions privacy-preserving process mining, having published research and released open-source tools that bridge academic rigor and industry needs. Based in Tartu, Estonia, he mentors engineers and regularly shares technical insights at conferences and through articles, making him both a practitioner and a thought leader in data engineering. Notably, his background spans academia and industry—giving him an uncommon ability to translate advanced privacy research into operational data systems.
11 years of coding experience
4 years of employment as a software developer
Data Analyst Nanodegree, Data Analyst Nanodegree at Udacity
Doctor of Philosophy - PhD topic is Privacy-Enhancing Technologies for Process Mining., Doctor of Philosophy - PhD topic is Privacy-Enhancing Technologies for Process Mining. at University of Tartu
Master's degree, Master's degree at Tanta University
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