Eugene Miretsky
Managing Partner at Badal.io
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolEugene Miretsky is a seasoned technology leader and managing partner with 11 years of hands-on experience designing and operating large-scale, secure data platforms across fintech, telecom, and consumer products. He has led engineering teams to build systems serving hundreds of millions of users—most notably marketing automation and personalization at Paytm—and driven cloud migrations, streaming, and change-data-capture initiatives at Rogers. As a technical co-founder he shipped graph-based matchmaking and custom Redis-backed graph storage, and his early work spans compiler and GPU runtimes at Metabacus, IBM, and AMD. He advises enterprise and DevOps investments for a YC alumni fund and continues to blend strategic venture guidance with deep technical execution at Badal.io. His open-source test contributions to Confluent's Schema Registry reflect practical expertise in data serialization edge cases and reliability for distributed systems.
11 years of coding experience
9 years of employment as a software developer
CourseraMaster's Degree Computer Engineering, Master's Degree Computer Engineering at University of TorontoCofounder Startups, Cofounder Startups at YCombinator
English, Hebrew, Russian
Stackoverflow
11reputation
175reached
0answers
1question
Github Skills (8)
unit-testing10
javas10
avro10
schema10
java10
testing10
activerecord6
ruby-on-rails6
Programming languages (12)
Github contributions (5)
confluentinc/schema-registry
Jan 2016 - Feb 2016
Confluent Schema Registry for Kafka
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:6 commits, 2 PRs, 3 comments in 9 days
Contributions summary:Eugene primarily focused on adding and modifying test cases within the `AvroDataTest.java` file. Their contributions involved creating tests for nested record structures with optional fields, particularly covering cases with null values and complex types like maps with non-string keys. The changes also included correcting spacing and ensuring the correct Avro schema was generated for optional complex types, indicating a focus on data serialization and deserialization accuracy. These efforts contribute to the reliability and correctness of the schema registry functionality.
avroschema-registryprotobuf-schemaprotobufschema-validation
badal-io/datastream-deltalake-connector
May 2021 - Oct 2021
Contributions:1 review, 8 commits in 5 months
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