hmcts/ARIAMigration-Databrick
Feb 2026 – Feb 2026
1 Month active
Languages Used
Python
Technical Skills
Apache SparkData AnalysisData EngineeringData Quality AssuranceData ValidationDatabricks
pawankumar-hmcts
PROFILE
Pawankumar-hmcts
Pawan Kumar developed and stabilized the FTPA decision workflow within the hmcts/ARIAMigration-Databrick repository, focusing on data pipeline resilience and quality. He implemented new features for the FTPA Decided domain, including schema updates, additional columns, and refined decision logic, while addressing data consistency through type casting and null handling. Using Python, PySpark, and Databricks, Pawan enhanced data validation and introduced fallback mechanisms to reduce production risk. His work included updating data quality rules, refining date handling, and maintaining robust unit tests with pytest. Over the month, he delivered 23 features and resolved 13 bugs, demonstrating strong depth in data engineering.
Overall Statistics
Feature vs Bugs
64%Features
Repository Contributions
90Total
Bugs
13
Commits
90
Features
23
Lines of code
12,590
Activity Months1
Your Network
231 peopleShared Repositories
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gburnside-hmctsMember
misbahulislam2Member
Work History
February 2026
90 Commits • 23 Features
Feb 1, 2026February 2026 monthly summary for hmcts/ARIAMigration-Databrick: Focused on delivering a robust FTPA decision workflow and stabilizing the data pipeline. Major feature work was completed in the FTPA Decided domain with incremental enhancements to support future improvements, while accompanying data quality and resilience improvements reduced risk in production.
90 Commits • 23 Features
Feb 1, 2026February 2026 monthly summary for hmcts/ARIAMigration-Databrick: Focused on delivering a robust FTPA decision workflow and stabilizing the data pipeline. Major feature work was completed in the FTPA Decided domain with incremental enhancements to support future improvements, while accompanying data quality and resilience improvements reduced risk in production.
February 2026
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.2%
Architecture83.2%
Performance82.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
Apache SparkData AnalysisData EngineeringData Quality AssuranceData ValidationDatabricksETLPandasPySparkPysparkPythonPython programmingPython scriptingSparkTesting
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