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Gamal Elkoumy

@gamalelkoumy

Staff Data Engineer who unified data science workflows on an AWS data lakehouse, saving approximately $375K per year.

Estonia
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I unified Data Science workflows on an AWS data lake, saving approximately $375K per year. I also scaled training capacity 88x and reduced R&D feedback loops from seven hours to 23 minutes.

I authored data governance RFCs and designed GDPR compliance frameworks at Veriff. I deployed an Iceberg maintenance framework that reclaimed 146+ TiB and saved $136K, and orchestrated an Airflow 2-to-3 migration across 25 workstreams and three environments.

At Apromore (Salesforce), I migrated legacy Hive tables to Iceberg, reducing pipeline execution time by 35%. Earlier, at the University of Tartu, I researched privacy-preserving process mining and developed differential privacy solutions.

Experience

Work history, roles, and key accomplishments

DA

Data Warehouse Specialist

DataGear

Dec 2012 - Aug 2015 (2 years 8 months)

Developed ETL processes and optimized data pipelines for telecommunications and banking sectors. Improved performance of ETL scripts by 70% using scalable data processing pipeline.

Education

Degrees, certifications, and relevant coursework

University of Tartu logoUT

University of Tartu

PhD, Computer Science

2018 - 2022

Pursued a PhD in Computer Science with a focus on privacy-preserving process mining.

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