Arina Ielchiieva - Senior Software Engineer at Toast

Arina Ielchiieva

Senior Software Engineer at Toast

Old Toronto, Ontario, Canada

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Summary

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Rockstar

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Top School

Arina Ielchiieva is a Senior Software Engineer with over a decade of experience building high-performance, cloud-native backend systems and real-time analytics platforms using Java and Kotlin. She combines deep expertise in Spring, data stores (Postgres, Cassandra, Redis), messaging (Kafka), and CI/CD with practical knowledge of Kubernetes, Docker and cloud platforms (AWS/GCP). Her background includes work on schema-free SQL engines and data integration at scale, and she is an Apache Drill committer and PMC member who has reviewed O’Reilly’s Learning Apache Drill—an indicator of her influence in the data-engineering open-source community. Comfortable across the full implementation cycle, she is known for solving tricky integration and performance issues, adding both robustness and observability to distributed systems. Based in Toronto, she brings a pragmatic, test-driven approach and a history of contributing meaningful fixes and features to widely used OSS projects like sqlline, Drill and Iceberg.

10 years of coding experience

15 years of employment as a software developer

Master's Degree, Master's Degree at Kyiv International University

English

Stackoverflow

Stats

671reputation

17kreached

26answers

1question

Github Skills (31)

apache-drill10

testing10

apache10

jdbc10

java10

javas10

sql10

apache-iceberg10

parquet10

debug9

database-api9

command-line-interface9

avro9

debugging9

databases9

Programming languages (3)

JavaHTMLEiffel

Github contributions (5)

apache/drill

Feb 2016 - Apr 2020

Apache Drill is a distributed MPP query layer for self describing data

Role in this project:

Back-end Developer

Contributions:178 commits, 266 PRs, 61 pushes in 4 years 3 months

Contributions summary:Arina contributed to bug fixes and improvements within the Apache Drill codebase, including addressing issues related to directory explorers and schema definitions. The user worked on implementing enhancements for the Hive storage plugin, ensuring correct functionality for features like skipping headers/footers and implementing table function parameters. Additionally, the user focused on improving various aspects of the JDBC plugin, by updating to newer libraries.

jdbcdatastreambig-datadatabasehadoop

julianhyde/sqlline

Aug 2018 - Aug 2019

Shell for issuing SQL to relational databases via JDBC

Role in this project:

Back-end Developer & QA Engineer

Contributions:18 commits, 13 PRs, 63 comments in 11 months

Contributions summary:Arina primarily contributed to bug fixes and enhancements within the SQLLine project, addressing issues such as invalid JDBC URL handling and the behavior of the `!close` command. They introduced features like a new `!reset` command and implemented a mode to show current property values for the `!set` command. The user also worked on refactoring existing code, including improvements to the output formats and modifications to the table output. Additionally, the user implemented tests to ensure code quality and functionality.

relationalmysqlsqldatabasesoracle

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