Evgeniy Belyaev is a Senior Data Engineer with 13 years of software and data engineering experience, specializing in building scalable, cost-efficient data platforms on Google Cloud. He has led design and implementation of next-generation ELT streaming pipelines and core data infrastructure at companies evolving from Crealytics to an independent startup and now SoundCloud. Comfortable across the stack, he blends Apache Spark, Dataflow, BigQuery, Pub/Sub and Kubernetes expertise with backend engineering in Java, Go and Ruby to improve latency, observability and operational cost. He’s driven platform-wide best practices for data governance, access control and discoverability while influencing product and cross-team technical decisions. Notably, he engineered a custom Spark integration with Elastic APM and led a Kafka→Pub/Sub migration, demonstrating a pragmatic focus on troubleshooting and reliability in large-scale pipelines. Based in Germany, he thrives on aligning data systems to business goals and turning architectural choices into measurable impact.
Contributions:5 commits, 3 PRs, 4 pushes in 6 years 7 months
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