Pavlo Pohrebniy
Data Platform Engineer
Kyiv, Ukraine
Summary
👤
Senior🎓
Top SchoolPavlo Pohrebniy is a Data Platform Engineer with 13 years of experience designing high-performance Big Data and backend systems, currently at Lyft after a decade-plus at SoftServe where he progressed from developer to architect. He led the architecture and ongoing development of a mission-critical IoT GEO Platform processing telemetry from over 300,000 vehicles and serving 200+ TB of data with millisecond latency, including a custom SQL-based rules engine and optimized Scala tooling. Comfortable across Scala, Java, Python and distributed systems, he’s built fast serialization codecs, extensible Spark encoders, and Flink/streaming connectors aimed at real-world scale. An active open-source enthusiast, he published a Scala+Spark TensorFlow distributed training project, demonstrating a blend of research curiosity and production-grade engineering. Based in Kyiv, his background in AI and device development informs pragmatic, data-driven platform decisions that balance latency, throughput, and developer ergonomics.
11 years of coding experience
13 years of employment as a software developer
Igor Sikorsky Kyiv Polytechnic Institute
English
Github Skills (71)
geo10
spatial9
geospatial9
gis9
cassandra9
java9
spatial-data9
media9
azure8
kudu8
high-performance8
sdk8
google-cloud8
dotty8
geomesa8
Programming languages (3)
Github contributions (5)
pashashiz/scanet3
Apr 2020 - Jan 2023
Type-safe, high performance, distributed Neural networks in Scala
Contributions:1 review, 67 commits, 129 PRs in 2 years 8 months
mathfunctional-programminglinalgneural-networkstype-safe
pashashiz/tutorials.xml
Apr 2015 - Mar 2022
Contributions:1 PR, 20 pushes, 3 branches in 7 years
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