Yossi Shirizli
Founding Engineer at Democratech Israel - מחאת ההייטקיסטים
Tel-Aviv District, Israel
Summary
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Rockstar🎓
Top SchoolYossi Shirizli is a hands-on founding engineer and seasoned R&D leader with nearly two decades of software development experience and over 13 years building and mentoring engineering teams. He blends deep backend and distributed-systems expertise with full-stack product instincts, having led Redis Data Integration at Redis and architected enterprise APM and SaaS backend platforms at Correlsense. An entrepreneurial technologist, he co-founded startups and now helps drive RiverPool while also serving as Chief Democracy Officer at Democratech Israel, showing a rare mix of product, policy and community engagement. Yossi contributes to open source—improving resiliency and batch processing in Debezium’s Redis sink—and favors pragmatic, well-tested solutions that handle real-world failure modes. Known for rapid self-learning and clear communication, he repeatedly turns ambiguous requirements into reliable, scalable systems and mentors teams through that process.
5 years of coding experience
13 years of employment as a software developer
MiteraniBar-Ilan University
English, Hebrew
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
redis10
testing10
debezium10
retrying10
java10
javas10
retry-policy10
retry-logic10
mechanism10
retry-pattern10
postgresql9
batch-processing9
change-data-capture9
apache-kafka8
event-stream8
Programming languages (7)
Github contributions (5)
debezium/debezium
Sep 2021 - Apr 2022
Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.
Role in this project:
Back-end Developer / Test Automation Engineer
Back-end Developer / Test Automation EngineerContributions:37 reviews, 16 commits, 20 PRs in 6 months
Contributions summary:Yossi contributed significantly to the Debezium server's Redis sink, focusing on improving its resilience and efficiency. Their work involved implementing retry mechanisms to handle Redis connection issues and Out-of-Memory (OOM) scenarios, ensuring data delivery even in adverse conditions. Furthermore, the user refactored the Redis sink to process records in batches, which optimized performance. They also added integration tests to verify basic reading from a PostgreSQL database and writing to a Redis stream, as well as testing the retry mechanisms.
kafka-connectapache-kafkadata-capturedatabasekafka-producer
datayoga-io/datayoga
Jun 2022 - Jan 2023
A framework to build and generate modern ETL and ELT data pipelines
Contributions:353 commits in 7 months
csvdataetl-frameworkstreamingdata-pipelines
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