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Amit Vaidya

PROFILE

Amit Vaidya

Worked on the HPEEzmeral/aie-tutorials repository to deliver two targeted Spark image upgrades within Airflow DAG and YAML configurations, focusing on improving compatibility, performance, and access to the latest Spark features. Leveraged Python, Scala, and YAML to update Spark image versions from 3.5.5 to 3.5.5.2, ensuring consistent configuration across both Python and Scala applications. Maintained strict traceability through issue tracking and Git-based change management, aligning OSS and EEP Spark images to reduce version drift and maintenance risk. The work enhanced pipeline stability and enabled the use of newer Spark capabilities without introducing runtime incompatibilities or reported bugs.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
2
Lines of code
56
Activity Months2

Your Network

192 people

Work History

October 2025

2 Commits • 1 Features

Oct 1, 2025

October 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.

September 2025

3 Commits • 1 Features

Sep 1, 2025

September 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

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

HPEEzmeral/aie-tutorials

Sep 2025 Oct 2025
2 Months active

Languages Used

PythonYAML

Technical Skills

AirflowData EngineeringSparkPythonScala