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Danielhaiman

PROFILE

Danielhaiman

Developed comprehensive UNDROP command support for Snowflake within the tobymao/sqlglot repository, enabling restoration of various Snowflake object types through robust SQL parsing and generation. Leveraged Python and SQL expertise to implement parsing logic, tokenization, and dialect mappings, introducing a dedicated Undrop expression class for full DDL support. Expanded test coverage with targeted scenarios to ensure reliability across 12 UNDROP variants, including both single-word and multi-word object types. This work enhanced backend parser development and testing practices, streamlining time travel automation and reducing manual scripting for Snowflake users, while improving compatibility and maintainability within the repository’s Snowflake dialect integration.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
65
Activity Months1

Work History

June 2026

1 Commits • 1 Features

Jun 1, 2026

June 2026 monthly summary focusing on delivering Snowflake UNDROP support in the tobymao/sqlglot repository, with parsing, generation, and testing across multiple object types. Highlights integration with the Snowflake dialect and expressions, plus expanded test coverage and collaboration.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

SQLbackend developmentparser developmenttesting

Repositories Contributed To

1 repo

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

tobymao/sqlglot

Jun 2026 Jun 2026
1 Month active

Languages Used

Python

Technical Skills

SQLbackend developmentparser developmenttesting