HPEEzmeral/aie-tutorials
Sep 2025 – Oct 2025
2 Months active
Languages Used
PythonYAML
Technical Skills
AirflowData EngineeringSparkPythonScala
Amit Vaidya
PROFILE
Amit Vaidya
Amit Vaidya upgraded Spark image versions in the HPEEzmeral/aie-tutorials repository, focusing on Airflow DAG configurations and YAML files for Python and Scala applications. He methodically advanced the Spark image from 3.5.5 to 3.5.5.2, ensuring compatibility with the latest Spark OSS features and reducing maintenance risk. Amit’s work involved careful management of Airflow and Spark integration, leveraging Python, Scala, and YAML to align pipeline configurations and prevent version drift. By maintaining strict traceability through issue tracking and Git commits, he delivered stable, future-proof data engineering pipelines that support evolving Spark capabilities without introducing runtime incompatibilities.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
56
Activity Months2
Your Network
150 people
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10): Delivered a targeted Spark image upgrade to 3.5.5.2 across HPEEzmeral/aie-tutorials, updating Airflow DAG configurations and YAML files for Python and Scala apps to maintain compatibility with the latest Spark OSS/framework features. This upgrade reduces version drift, enables access to newer Spark capabilities, and strengthens pipeline stability across the data processing stack.
2 Commits • 1 Features
Oct 1, 2025October 2025 (2025-10): Delivered a targeted Spark image upgrade to 3.5.5.2 across HPEEzmeral/aie-tutorials, updating Airflow DAG configurations and YAML files for Python and Scala apps to maintain compatibility with the latest Spark OSS/framework features. This upgrade reduces version drift, enables access to newer Spark capabilities, and strengthens pipeline stability across the data processing stack.
October 2025
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 — Monthly summary for HPEEzmeral/aie-tutorials. Key feature delivered: Airflow Spark image upgrade to 3.5.5.1 in DAG configurations to improve compatibility, performance, and access to latest fixes. This work was tracked under EZAF-13171 with three commits updating the OSS Spark image version. Major bugs fixed: none reported this period. Overall impact: reduces maintenance risk, improves DAG stability and performance, and enables use of newer Spark features. Technologies/skills demonstrated: Spark image management, Airflow DAG configuration, OSS Spark versions, Git-based change management, issue tracking (EZAF-13171).
September 2025
3 Commits • 1 Features
Sep 1, 2025September 2025 — Monthly summary for HPEEzmeral/aie-tutorials. Key feature delivered: Airflow Spark image upgrade to 3.5.5.1 in DAG configurations to improve compatibility, performance, and access to latest fixes. This work was tracked under EZAF-13171 with three commits updating the OSS Spark image version. Major bugs fixed: none reported this period. Overall impact: reduces maintenance risk, improves DAG stability and performance, and enables use of newer Spark features. Technologies/skills demonstrated: Spark image management, Airflow DAG configuration, OSS Spark versions, Git-based change management, issue tracking (EZAF-13171).
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
AirflowData EngineeringPythonScalaSpark
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