Danni Moiseyev
Lead Software Architect And Co-founder at Rusty Bits
Tel Aviv-Yafo, Tel Aviv District, Israel
Summary
🤩
RockstarDanni Moiseyev is a Lead Software Architect and co-founder based in Tel Aviv with nine years of professional experience building high-performance backend systems and databases. He spent a decade driving Redis core and enterprise projects—rising from Senior Engineer to Software Architect—where he led development of RedisTimeSeries and platform integrations like the Redis Enterprise Operator for Kubernetes. Technically fluent across C/C++, Python and distributed systems, he contributed substantive enhancements to RedisTimeSeries (range aggregation, filter-by-value/timestamp, iterator/index refactors and memory-leak fixes) that improved query and persistence reliability. Earlier roles in security-focused startups honed his expertise in DPI, TCP reassembly and real-time detection engines, giving him a strong grounding in low-level networking and telemetry. Now leading Rusty Bits as co-founder, he blends hands-on database engineering with product-minded architecture to ship resilient, scalable systems. Notably, his work on a prominent open-source Redis time-series project reflects both deep systems craft and a commitment to production-grade OSS.
9 years of coding experience
18 years of employment as a software developer
English, Hebrew
Stackoverflow
421reputation
29kreached
11answers
0questions
Github Skills (20)
timeseries-database10
redis10
c1110
c1710
data-structure9
apidoc9
query-optimization9
database-design9
api9
data-structures9
aggregations8
memory-management8
indexing8
amazon-ec26
django-forms6
Programming languages (9)
Github contributions (5)
RedisTimeSeries/RedisTimeSeries
Aug 2018 - Sep 2022
Time Series data structure for Redis
Role in this project:
Back-end Developer & Database Engineer
Back-end Developer & Database EngineerContributions:6 releases, 454 reviews, 191 commits in 4 years 1 month
Contributions summary:Danni primarily focused on enhancing the time series database functionality. They added support for range aggregation and implemented features like filter by value and timestamp for querying data. The user also refactored existing code, including improvements to iterators and indexing mechanisms to improve performance. Additionally, the user implemented and addressed memory leaks related to data persistence and data retrieval within the database.
redisredis-moduletimeseries-databaseseries-dataredis-search
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.