Nike-Inc/spark-expectations
Jun 2025 – Jul 2025
2 Months active
Languages Used
PythonSQLYAML
Technical Skills
Configuration ManagementPytestSparkData QualityPythonSQL
kyakkati
PROFILE
Kyakkati
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
496
Activity Months2
Work History
July 2025
2 Commits • 2 Features
Jul 1, 2025July 2025 (Nike-Inc/spark-expectations) focused on elevating data quality visibility and runtime configuration management. Delivered Enhanced Data Quality Reporting with a new column_name field and centralized runtime configuration via a YAML-to-SparkConf loader, accompanied by documentation updates. These changes improve data governance, observability, and operational flexibility.
2 Commits • 2 Features
Jul 1, 2025July 2025 (Nike-Inc/spark-expectations) focused on elevating data quality visibility and runtime configuration management. Delivered Enhanced Data Quality Reporting with a new column_name field and centralized runtime configuration via a YAML-to-SparkConf loader, accompanied by documentation updates. These changes improve data governance, observability, and operational flexibility.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered Local Test Runtime Optimization for Nike-Inc/spark-expectations, improving local development and test cycle efficiency. Tuned Spark session configuration (shuffle_partitions set to 1, dynamic allocation disabled, UI disabled) and refactored pytest fixtures to run once per session, enabling faster feedback and reduced resource usage during local testing.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered Local Test Runtime Optimization for Nike-Inc/spark-expectations, improving local development and test cycle efficiency. Tuned Spark session configuration (shuffle_partitions set to 1, dynamic allocation disabled, UI disabled) and refactored pytest fixtures to run once per session, enabling faster feedback and reduced resource usage during local testing.
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQLYAML
Technical Skills
Configuration ManagementData QualityPytestPythonSQLSparkYAML
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