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Dori Polotsky

PROFILE

Dori Polotsky

Dori Po contributed to the tobymao/sqlglot repository by building and refining core SQL optimizer features using Python and SQL. Over three months, Dori implemented cross-dialect numeric truncation support, enhancing ETL reliability by introducing dialect-aware code generation and comprehensive test coverage. Dori also fixed subquery predicate annotation, ensuring EXISTS, ALL, and ANY predicates are correctly typed as BOOLEAN, which improved query evaluation accuracy. Additionally, Dori stabilized SQL type annotation for ORDER BY aliases, refactoring the annotation workflow to unify alias handling and reduce edge-case bugs. The work demonstrated depth in database management, SQL optimization, and disciplined unit testing practices.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
2
Lines of code
660
Activity Months3

Work History

March 2026

1 Commits • 1 Features

Mar 1, 2026

March 2026: Focused on stabilizing and accelerating SQL type annotation for ORDER BY aliases in sqlglot. Implemented post-pass and in-loop alias resolution, refactored annotation flow, and tightened typing for projection aliases to improve query correctness and execution performance across complex aggregates and subqueries.

February 2026

2 Commits • 1 Features

Feb 1, 2026

February 2026: Strengthened numeric truncation capabilities in sqlglot with cross-dialect support and expanded test coverage, delivering consistent truncation semantics across major engines and improving reliability of ETL pipelines.

December 2025

1 Commits

Dec 1, 2025

December 2025: Delivered a critical optimizer correctness fix for sqlglot in the tobymao/sqlglot repo, with targeted tests that improve query result reliability and reduce incorrect boolean typing. The change ensures EXISTS, ALL, and ANY subquery predicates are annotated as BOOLEAN, not UNKNOWN, leading to more accurate query evaluations and plan generation. The work includes direct tests for ALL/ANY predicates, strengthening test coverage and maintainability. This release demonstrates strong attention to correctness, test hygiene, and clear commit messaging that supports faster reviews and safer deployments.

Activity

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Quality Metrics

Correctness95.0%
Maintainability80.0%
Architecture85.0%
Performance80.0%
AI Usage40.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Database ManagementPythonPython DevelopmentPython programmingSQLSQL optimizationTestingType annotationUnit testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

tobymao/sqlglot

Dec 2025 Mar 2026
3 Months active

Languages Used

Python

Technical Skills

PythonSQLTestingDatabase ManagementPython DevelopmentPython programming