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
Worked on the narwhals-dev/narwhals repository, delivering features that enhanced data interoperability, developer usability, and backend reliability. Developed cross-backend methods for variance and array data types, ensuring consistent behavior across pandas, polars, and Spark-like environments. Expanded the SparkLikeExpr API with new data manipulation methods and introduced a datetime namespace for PySpark DataFrames, streamlining feature engineering. Centralized datetime-to-string formatting with ISO week and microsecond support, reducing code duplication. Improved CI/CD security by refactoring workflows to use environment variables. Leveraged Python, PySpark, and SQL, with a focus on robust API design, schema management, and automated testing for maintainable code.
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
Activity
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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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