GoogleCloudPlatform/magic-modules
Dec 2025 – Jan 2026
2 Months active
Languages Used
YAMLTerraform
Technical Skills
DevOpsconfiguration managementtestingCloud ServicesInfrastructure as CodeTerraform
sushilchaskar28
PROFILE
Sushilchaskar28
Sushil Chaskar contributed to the GoogleCloudPlatform/magic-modules repository by developing a OneTime trigger feature for Dataplex Datascan, enabling scans to execute once upon creation with configurable result retention. He designed and implemented this capability using Terraform and YAML, updating execution specifications and providing comprehensive usage examples to streamline customer onboarding. In addition to feature development, Sushil stabilized the Dataplex BigQuery test flow by correcting dataset configuration, which improved test reliability and reduced CI flakiness. His work demonstrated a strong grasp of DevOps practices, infrastructure as code, and configuration management, resulting in more consistent deployments and enhanced documentation for users.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
208
Activity Months2
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focused on delivering business value through a new Dataplex Datascan capability and solid execution across design, implementation, and documentation.
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for 2026-01 focused on delivering business value through a new Dataplex Datascan capability and solid execution across design, implementation, and documentation.
January 2026
December 2025
1 Commits
Dec 1, 2025December 2025: Stabilized the Dataplex BigQuery test flow in the magic-modules repository by correcting test data configuration and improving test reliability. The change ensures consistent dataset naming and reduces CI/test flakiness, enabling faster validation of Dataplex entry BigQuery examples.
December 2025
1 Commits
Dec 1, 2025December 2025: Stabilized the Dataplex BigQuery test flow in the magic-modules repository by correcting test data configuration and improving test reliability. The change ensures consistent dataset naming and reduces CI/test flakiness, enabling faster validation of Dataplex entry BigQuery examples.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture100.0%
Performance90.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
TerraformYAML
Technical Skills
Cloud ServicesDevOpsInfrastructure as CodeTerraformconfiguration managementtesting
Repositories Contributed To
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