Jiri Pokorny
Verified Expert in Engineering
Concurrency Developer
Jiri started programming at a young age and is a programmer at heart. Over time, he has grown into an experienced senior developer currently focused on big data processing. He strongly believes in writing clean and maintainable code, and while he enjoys solving complex problems, Jiri strives to keep solutions as simple as possible.
Portfolio
Experience
Availability
Preferred Environment
Linux, IntelliJ IDEA, Scala, JVM, Big Data
The most amazing...
...thing I've discovered was functional programming, which has opened my eyes and made my code much more reliable, readable, and concise.
Work Experience
Senior Software Developer
Open Bean
- Developed raw data ingestion using Scala, AWS S3, and Lambda.
- Designed raw data format that is versatile enough for required use-cases.
- Architected index data structure and library to speed up relevant queries and support downstream distributed computations.
Senior Software Developer
Second Foundation
- Developed a real-time market trading adapter for normalizing market operations for multiple use-cases.
- Participated in internal system design and protocols between distributed components.
- Developed a system for scraping of published data on various web pages.
Senior Software Developer
Jumpshot
- Served as the lead developer of the processing pipeline for internal platforms that were used throughout the company.
- Implemented a custom Spark job scheduling service for continuous application of patterns to data. This allowed for scaling out the computation to keep strict delivery deadlines.
- Implemented a safe mechanism of mutable data publication on HDFS using snapshotting. This prevented consumer errors and allowed for safe synchronization between clusters.
- Optimized recalculation algorithms to speed-up the computation by the order.
- Vastly improved service reliability, resiliency, and monitoring.
- Completely redesigned the pipeline for processing search engine results, improved source code, and participated in improving data quality.
- Occasionally led a few other developers on associated tasks.
Technical Lead
ZOOM International
- Implemented live screen monitoring into existing screen monitoring solutions.
- Developed integrations with an external system for call recording.
- Participated in complex bug fixing of business-critical applications.
Experience
Pattern Application System
As updates mutated the resulting data, there had to be a safe publishing mechanism on HDFS and safe synchronization to other clusters. There was a service to expose the current status of patterns for consumers. The pattern application was costly—there was an algorithm to limit the recalculation to just specific parts. Another interesting aspect of this service was the resiliency and the effort to minimize the chances of disrupting the computation by a single bad batch/pattern.
The service itself was a Scala-based application with multiple concurrent Spark jobs spawned into the Cloudera cluster. It used Scala futures and Akka Actors for handling concurrency and MongoDB to persist global computation state and track job states. There was an HTTP API and CLI tool to control various aspects of the running system.
Metrostation Prague
https://github.com/pr0chz/metrostationSkills
Languages
Scala, Kotlin, Python, Java, Bash
Frameworks
Apache Spark, Akka
Platforms
Linux, JVM, Android, AWS Lambda, Kubernetes
Other
Big Data, Concurrency, Coroutines, Multithreading, Computer Science, Akka Actors, Solace, Distributed Systems
Libraries/APIs
Akka Streams
Tools
IntelliJ IDEA, RabbitMQ, Amazon Simple Queue Service (SQS), Amazon Elastic MapReduce (EMR), SBT, Spark SQL
Storage
MongoDB, HDFS, PostgreSQL, Amazon S3 (AWS S3)
Industry Expertise
Trading Systems
Education
Master's Degree in Computer Science
Czech Technical University in Prague - Prague, Czech Republic
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