Tory Haavik is an engineering manager and data-driven software leader with 11 years of experience building production data platforms and quant tools at Two Sigma. He blends hands-on expertise in Python, Java, Spark, SQL and data visualization with team leadership, having progressed from senior engineer to VP and now engineering manager within the same firm. Tory contributes to open-source projects like Ibis—adding time-zone aware timestamp handling, lineage analysis utilities, and backend optimizations—demonstrating a penchant for robust, portable dataframe tooling. His background in sociology (BA, Cum Laude) and early analytics roles gives him a rare combination of quantitative rigor and user-focused business analysis. Known for removing technical debt and improving CI/CD and developer docs, he balances shipping features with maintainability and developer experience. Based in New York, he’s experienced in turning complex data modeling requirements into auditable, production-grade systems.
11 years of coding experience
10 years of employment as a software developer
BA, Sociology, Cum Laude, BA, Sociology, Cum Laude at University of Pennsylvania
Contributions:11 commits, 30 PRs, 19 pushes in 2 years
Contributions summary:Tory significantly contributed to the Ibis project by implementing new features, specifically focusing on the `asof_join` operation and a pre-execute dispatcher for the pandas backend. They added support for time zone handling in timestamp literals. Moreover, the user added `find_nodes` to lineage, providing functionality for expression tree analysis and made enhancements to the developer documentation and CI/CD process. They also removed pandas deprecation warnings and implemented `IntervalSub` functionality.
A pandas-like deferred expression system, with first-class SQL support (Impala, PostgreSQL, SQLite, ...)
Contributions:28 pushes, 12 branches in 2 years
pythondeferredsqlsqlitepostgresql
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