datametica/calcite
Jun 2025 – Jun 2025
1 Month active
Languages Used
Java
Technical Skills
BigQueryCompiler DesignCompiler DevelopmentDatabaseDatabase DevelopmentDatabase Query Translation
nagarjuna.gamidi
PROFILE
Nagarjuna.gamidi
Worked on the datametica/calcite repository to expand cross-dialect SQL function support, enabling broader compatibility across Redshift, Vertica, BigQuery, Spark, Databricks, and Teradata. Developed and integrated new SQL functions such as NVL, CONVERT, TRUNC, INET_ATON, and various DATEDIFF and JSON operations, updating dialects, parsers, and library operators to ensure consistent behavior. Leveraged Java and SQL dialect handling expertise to enhance parser reliability and unit test coverage, reducing integration risks for multi-dialect workloads. This work strengthened Calcite’s role as a unified SQL layer, streamlining analytics integration and accelerating onboarding for customers using diverse data platforms.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
1
Lines of code
671
Activity Months1
Your Network
50 peopleSame Organization
@datametica.com20
Shared Repositories
30
abhishek.kumar1Member
ajay.andhaleMember
Anant PatilMember
ashutosh.kumarMember
divyansh.sMember
giritharan.aMember
gokul.ramalingamMember
jitender.yadavMember
katakam.mahidharMember
Work History
June 2025
7 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for datametica/calcite focused on expanding cross-dialect SQL function support and broadening compatibility across major data platforms. Delivered a flagship feature set that enables broader DB compatibility and enhanced function coverage, complemented by parser/dialect updates and quality improvements to reduce cross-d dialect risks.
7 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for datametica/calcite focused on expanding cross-dialect SQL function support and broadening compatibility across major data platforms. Delivered a flagship feature set that enables broader DB compatibility and enhanced function coverage, complemented by parser/dialect updates and quality improvements to reduce cross-d dialect risks.
June 2025
Activity
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Quality Metrics
Correctness92.8%
Maintainability85.8%
Architecture82.8%
Performance85.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
BigQueryCompiler DesignCompiler DevelopmentDatabaseDatabase DevelopmentDatabase Query TranslationJSONJavaJava DevelopmentSQLSQL Dialect HandlingUnit Testing
Repositories Contributed To
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