aws/modern-data-architecture-accelerator
Jan 2026 – Jan 2026
1 Month active
Languages Used
TypeScript
Technical Skills
AWS CDKCloudFormationDataOpsServerless Architecture
Ranjith Kurumbaru Kandiyil
PROFILE
Ranjith Kurumbaru Kandiyil
Worked on the aws/modern-data-architecture-accelerator repository to address a deployment issue affecting AWS Glue job workflows. Focused on correcting the additional script path and aligning source and destination S3 bucket configurations with updated deployment paths, the work ensured reliable execution of Glue job scripts and reduced deployment-related failures. Leveraged AWS CDK, CloudFormation, and TypeScript to automate deployment processes and improve change tracking. By resolving issue 836, the developer enhanced the reliability of data pipeline operations, resulting in fewer deployment incidents and more predictable analytics workflows. The contribution emphasized robust DataOps practices and streamlined serverless architecture deployment for the project.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
713
Activity Months1
Your Network
1693 peopleSame Organization
@amazon.com1683
Work History
January 2026
1 Commits
Jan 1, 2026January 2026: Delivered a targeted bug fix to the Glue Job deployment workflow in the aws/modern-data-architecture-accelerator. Corrected the additional script path and aligned source/destination bucket configurations with the updated deployment paths to ensure reliable execution of Glue job scripts. This resolves issue 836 and reduces deployment-related failures, improving data pipeline reliability and time-to-value for downstream analytics. Demonstrated technologies include AWS Glue, S3 bucket configuration, deployment automation, and change-tracking via commit 164d25576a88716bf6da3bdbc429a849ce67b091. Business impact: fewer deployment incidents, faster rollouts, and more predictable data pipeline operations.
1 Commits
Jan 1, 2026January 2026: Delivered a targeted bug fix to the Glue Job deployment workflow in the aws/modern-data-architecture-accelerator. Corrected the additional script path and aligned source/destination bucket configurations with the updated deployment paths to ensure reliable execution of Glue job scripts. This resolves issue 836 and reduces deployment-related failures, improving data pipeline reliability and time-to-value for downstream analytics. Demonstrated technologies include AWS Glue, S3 bucket configuration, deployment automation, and change-tracking via commit 164d25576a88716bf6da3bdbc429a849ce67b091. Business impact: fewer deployment incidents, faster rollouts, and more predictable data pipeline operations.
January 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
AWS CDKCloudFormationDataOpsServerless Architecture
Repositories Contributed To
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