Victoria Bukta

Member Of Product Staff at Databricks

Old Toronto, Ontario, Canada
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Summary

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Senior
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Top School
Victoria Bukta is a data-focused software engineer and product leader with 11 years of experience building large-scale ETL and lakehouse systems, currently a Member of Product Staff at Databricks in Toronto. A University of Toronto CS graduate with a focus on operating systems and AI, she has driven Apache Iceberg adoption and PB-scale CDC ingestion at Shopify, running thousands of Kafka Connectors and shaping platform-wide storage and ingestion standards. She blends hands-on engineering (Kafka, Spark, Iceberg) with product and team leadership, having led Shopify’s Lakehouse team and served as a senior product manager at Tabular. An educator and researcher at heart, she’s taught CS courses and lectured on data topics, bringing strong systems thinking and functional programming interest to data architecture. Notably, her background spans both cloud migrations and real-time archival systems, reflecting a rare mix of low-level systems understanding and product-level impact.
code11 years of coding experience
job9 years of employment as a software developer
bookBachelor of Science (BSc), Computer Science, Focus in Artificial Intelligence, Bachelor of Science (BSc), Computer Science, Focus in Artificial Intelligence at University of Toronto
languagesEnglish
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Github Skills (63)

trino10
sql-query10
spark10
delta-lake10
apache-flink10
prestodb10
data-science10
warehouse10
databases10
big-data10
data-analytics10
distributed-systems10
hadoop10
apache10
indexing10

Programming languages (4)

JavaGoRubyPython

Github contributions (5)

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Buktoria/iceberg

Feb 2023 - Jun 2024

Apache Iceberg
Contributions:2 PRs, 32 pushes, 4 branches in 1 year 4 months
Buktoria/trino

Sep 2021 - Nov 2023

Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Contributions:20 pushes, 3 branches in 2 years 2 months
jdbcbigdatabig-datatrinodatabase
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Victoria Bukta - Member Of Product Staff at Databricks