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tejashree.shete

PROFILE

Tejashree.shete

Tejashree Shete developed and integrated the ARRAY_START_INDEX SQL function into the datametica/calcite repository, focusing on expanding SQL function support and improving test coverage. She implemented full parser integration and ensured the function operated correctly across both Calcite and Spark semantics, using Java and SQL parsing expertise. Her work included extending and reorganizing the test suite to validate correctness and edge cases in multiple execution environments, as well as refining code formatting for consistency. She also planned the migration of library associations from Spark to Oracle, aligning dependencies with production needs and enhancing maintainability. The work demonstrated thoroughness and technical depth.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
1
Lines of code
100
Activity Months1

Work History

April 2025

7 Commits • 1 Features

Apr 1, 2025

April 2025 monthly summary for datametica/calcite focused on expanding SQL function support and strengthening test coverage. Delivered the ARRAY_START_INDEX function in Calcite with full parser integration, cross-framework testing (Calcite and Spark semantics), and a library migration readiness from Spark to Oracle, accompanied by test organization improvements.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture94.2%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Java

Technical Skills

API DevelopmentCode FormattingCode RefactoringDatabase DevelopmentDatabase InternalsJavaRefactoringSQLSQL ParsingTestingUnit Testing

Repositories Contributed To

1 repo

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

datametica/calcite

Apr 2025 Apr 2025
1 Month active

Languages Used

Java

Technical Skills

API DevelopmentCode FormattingCode RefactoringDatabase DevelopmentDatabase InternalsJava