Yevhenii Soboliev

Staff Big Data Engineer & Team Lead

Seattle, Washington, United States
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Summary

👤
Senior
🎓
Top School
Yevhenii Soboliev is a Staff Big Data Engineer and team lead based in Seattle with nine years of experience designing and operating large-scale, cloud-native data platforms for enterprises. He specializes in distributed processing and orchestration—building reliable, high-throughput Spark, Kafka, Airflow, and Iceberg-based ecosystems across AWS and GCP, and has driven migrations such as YARN-to-Kubernetes orchestration at scale. Equally fluent in Scala and Python, he pairs hands-on coding (and earlier Java web experience) with CI/CD, observability, and container best practices (CKAD certified). He blends engineering leadership with security and governance expertise, implementing schema evolution, encryption/tokenization, and performance tuning for petabyte-class pipelines. Having split time between top-tier firms including Apple and Grid Dynamics and brief AI/LLM product work, he brings both platform-grade rigor and practical experimentation in AI-enhanced tooling.
code9 years of coding experience
job7 years of employment as a software developer
bookNational Technical University "Kharkiv Polytechnic Institute"
languagesEnglish, Ukrainian
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Github Skills (7)

oak9
crx9
sling9
aem9
adobe-experience-manager9
jcr8
sling-models8

Programming languages (1)

Java

Github contributions (5)

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EugeneDrozdyk/WeatherOfCity

Oct 2016 - Feb 2017

Contributions:5 commits, 4 pushes, 1 branch in 4 months
EugeneDrozdyk/Calculator

Aug 2016 - Feb 2017

Contributions:20 commits, 16 pushes, 1 branch in 6 months
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Yevhenii Soboliev - Staff Big Data Engineer & Team Lead