Summary
Denys Serdiuk is a Software Data Engineer with 11 years of experience building back-end, data-intensive systems across telecom, advertising, analytics and Big Data platforms, currently contributing at Apple in the Greater Seattle Area. He combines hands-on expertise in Java/Scala/Python with distributed technologies like Spark, Kafka, Cassandra and Elasticsearch, and has repeatedly led design and delivery of production pipelines on AWS using containerized deployments and Airflow automation. As a principal engineer and mentor at Blueprint and earlier roles at EPAM, Berkeley Lab and UBIX, he has driven telemetry ingestion, DSL-driven analytics engines, and cost-conscious cluster designs that blend streaming and batch processing. Known for pragmatic leadership, he pairs deep systems knowledge (Akka, functional programming, SOLID/TDD practices) with a knack for translating experimental data science workflows into operational services. An uncommon strength is his history of building domain-specific languages and REST/WebSocket engine modules that let data scientists plug in Python/R code into scalable pipelines.
10 years of coding experience
16 years of employment as a software developer
Master of Science - MS, mechanics , computer science, Master of Science - MS, mechanics , computer science at Odesa I.I.Mechnikov National University
English, Ukrainian, Russian