narwhals-dev/narwhals
Dec 2024 – May 2025
3 Months active
Languages Used
PythonYAMLMarkdown
Technical Skills
API DesignCI/CDData AnalysisDataFramesDocumentationGitHub Actions
Dhanunjaya Elluri
PROFILE
Dhanunjaya Elluri
Dhanunjay Et worked on the narwhals-dev/narwhals repository, delivering six features and one bug fix over three months. He enhanced SparkLikeExpr with new data manipulation methods and introduced a dt namespace for PySpark DataFrames, expanding transformation capabilities. His work centralized datetime-to-string formatting with ISO week and microsecond support, improving consistency and reducing code duplication. Dhanunjay improved API design and interoperability by adding schema collection for interchange frames and strengthened CI security by refactoring workflows. Using Python, PySpark, and SQL, he demonstrated depth in backend development, data engineering, and test automation, ensuring robust, maintainable, and cross-environment data processing tools.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
8Total
Bugs
1
Commits
8
Features
6
Lines of code
937
Activity Months3
Work History
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 - narwhals-dev/narwhals: Delivered a new to_string method for SparkLikeExprDateTimeNamespace, centralizing datetime-to-string formatting, with support for ISO week formats and microsecond precision. Refactored related utilities and updated tests. This work provides precise, consistent date-time formatting for Spark-like expressions, reducing duplication and enabling reliable analytics downstream.
1 Commits • 1 Features
May 1, 2025May 2025 - narwhals-dev/narwhals: Delivered a new to_string method for SparkLikeExprDateTimeNamespace, centralizing datetime-to-string formatting, with support for ISO week formats and microsecond precision. Refactored related utilities and updated tests. This work provides precise, consistent date-time formatting for Spark-like expressions, reducing duplication and enabling reliable analytics downstream.
May 2025
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for narwhals-dev/narwhals focused on expanding SparkLikeExpr capabilities and strengthening test reliability across cudf-enabled environments. Key features delivered include SparkLikeExpr API enhancements (median, clip, is_between, is_duplicated, is_finite, is_in, is_unique, len, round, skew) and a dt namespace for PySpark DataFrames. Major bug fix: removed cudf exclusion in replace_time_zone_test, ensuring cudf is included as a constructor for test_replace_time_zone_none across environments. Impact: expands data transformation capabilities directly in Spark, accelerates data prep and feature engineering, and improves CI/test reliability across environments, reducing production risk. Technologies/skills demonstrated: PySpark, SparkLikeExpr, dt namespace, cudf integration awareness, test coverage and reliability, and code traceability. Commits include 46a030a9d9dc94fdad2866f6766d00c1491287c1, 973b499906c7c8ec8f23d440648ccbd49adb8e88, and 320d6bc72a000f2302f48f00ae4a44ac22101c28.
January 2025
3 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for narwhals-dev/narwhals focused on expanding SparkLikeExpr capabilities and strengthening test reliability across cudf-enabled environments. Key features delivered include SparkLikeExpr API enhancements (median, clip, is_between, is_duplicated, is_finite, is_in, is_unique, len, round, skew) and a dt namespace for PySpark DataFrames. Major bug fix: removed cudf exclusion in replace_time_zone_test, ensuring cudf is included as a constructor for test_replace_time_zone_none across environments. Impact: expands data transformation capabilities directly in Spark, accelerates data prep and feature engineering, and improves CI/test reliability across environments, reducing production risk. Technologies/skills demonstrated: PySpark, SparkLikeExpr, dt namespace, cudf integration awareness, test coverage and reliability, and code traceability. Commits include 46a030a9d9dc94fdad2866f6766d00c1491287c1, 973b499906c7c8ec8f23d440648ccbd49adb8e88, and 320d6bc72a000f2302f48f00ae4a44ac22101c28.
December 2024
4 Commits • 4 Features
Dec 1, 2024December 2024 (2024-12) monthly summary for narwhals-dev/narwhals focuses on delivering key features, improving interoperability, and strengthening security in CI. The work enhances usability, cross-backend consistency, and data exchange capabilities, driving business value through robust, developer-friendly tooling.
4 Commits • 4 Features
Dec 1, 2024December 2024 (2024-12) monthly summary for narwhals-dev/narwhals focuses on delivering key features, improving interoperability, and strengthening security in CI. The work enhances usability, cross-backend consistency, and data exchange capabilities, driving business value through robust, developer-friendly tooling.
December 2024
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Quality Metrics
Correctness95.0%
Maintainability92.6%
Architecture93.8%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
MarkdownPythonYAML
Technical Skills
API DesignAPI DevelopmentBackend DevelopmentCI/CDData AnalysisData EngineeringData ManipulationDataFramesDocumentationGitHub ActionsInteroperabilityLibrary DevelopmentPySparkPythonSQL
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