Iaroslav Zeigerman
Principal Software Engineer at Fivetran
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolIaroslav Zeigerman is a Principal Software Engineer in San Francisco with 11 years of experience designing and shipping large-scale distributed and functional systems across startups and tech giants. He co-founded Tobiko (acquired by Fivetran) and has led AI/ML data teams at Apple and Netflix, bringing deep expertise in ETL, streaming, and reliability at petabyte scale. Technically fluent across Scala, Python, Spark, Akka and cloud platforms, he builds pragmatic architectures that span data engineering, model deployment, and low-level performance work. An active open-source contributor, he helped extend m2cgen to generate Java code for ML models and improved robustness in the widely used sqlglot SQL transpiler—signals of his ability to bridge research-grade algorithms and production systems. Colleagues know him for introducing Scala and functional practices into teams and for turning multi-day data jobs into hours-long pipelines.
11 years of coding experience
14 years of employment as a software developer
National Technical University of Ukraine "Kiev Polytechnic Institute"
English, Ukrainian
Github Skills (20)
parserator10
sql-parser10
parser10
python10
tsql10
scikit10
sqlc10
machine-learning10
java10
javas10
sql10
transpiler10
scikit-learn10
abstract-syntax-tree9
data-structures8
Programming languages (7)
Github contributions (5)
BayesWitnesses/m2cgen
Jan 2019 - Oct 2022
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:12 releases, 43 reviews, 61 commits in 3 years 9 months
Contributions summary:Iaroslav significantly contributed to the development of the `m2cgen` library, which transforms machine learning models into native code. Their work included introducing a Java code generator, implementing core functionalities for interpreting and translating various machine learning model components into Java code. The contributions focused on the development of the Java interpreter, and the integration of decision tree and other machine learning model assemblers. Additionally, the user refactored the project structure.
xgboostdependenciespythonml-modelslightgbm
tobymao/sqlglot
Sep 2021 - Jan 2023
Python SQL Parser and Transpiler
Role in this project:Back-end Developer
Back-end DeveloperContributions:141 reviews, 84 commits, 78 PRs in 1 year 4 months
Contributions summary:Iaroslav primarily focused on improving the functionality and robustness of the SQL parser and transpiler. Their work included enhancing argument validation for functions, adding support for variable-length arguments, and fixing related edge cases. These changes involved modifications across multiple files, including dialect-specific implementations, expression definitions, and parsing logic. The user also improved error handling and simplified the construction of function nodes within the codebase.
pythontranslationtsqlparserredshift
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