Alexey Zatelepin
Staff Software Engineer at Yandex Cloud
Moscow, Moscow City, Russia
Summary
🤩
Rockstar🎓
Top SchoolAlexey Zatelepin is a Staff Software Engineer with 13 years of experience designing and optimizing distributed storage and data-processing systems, currently working on Yandex Database. He specializes in correctness, performance, and pragmatic simplicity, with deep hands-on experience in replication engines, partition balancing, transactions and cluster metadata from contributions to Redpanda and ClickHouse. At Redpanda he was a main contributor to partition balancing and stabilizing replica distribution—work that directly improved cluster performance and resilience in a Kafka-compatible streaming platform. A former lead developer on ClickHouse and long-time Yandex engineer, he combines rigorous applied-math training from MIPT with production-first engineering discipline. Notably, his code focuses as much on race-free recovery and concurrency safety as on throughput, reflecting a preference for elegant, robust solutions over brittle optimizations.
13 years of coding experience
12 years of employment as a software developer
Степень магистра Applied Physics and Mathematics, Степень магистра Applied Physics and Mathematics at Moscow Institute of Physics and Technology (State University) (MIPT)
Stackoverflow
146reputation
9kreached
3answers
0questions
Github Skills (17)
back-end-development10
distributed-systems10
partitioning10
go10
cluster-manager10
cluster-api10
raft10
clustering10
macos6
clickhouse6
database6
sql6
column-store6
docker6
sharding6
Programming languages (13)
Github contributions (5)
redpanda-data/redpanda
Aug 2021 - Jan 2023
Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1825 reviews, 368 commits, 490 PRs in 1 year 5 months
Contributions summary:Alexey's commits primarily focus on refactoring and improving the partition balancer component of the Redpanda data streaming platform. Their contributions include renaming methods, moving methods to a request context, and simplifying the planner status. The user also implemented mechanisms to ensure a more even distribution of replica data by incorporating partition key information and addressing potential issues with concurrent updates, adding code for recovery. Their work directly contributes to the stability and performance of the cluster.
realtimezookeeperdata-platformkafka-api10x
ztlpn/minilp
Jan 2020 - Nov 2020
A pure Rust linear programming solver
Contributions:150 commits, 1 PR, 17 pushes in 9 months
rustsolverlinearsat-solverpure-rust
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