aws-samples/aurora-dsql-samples
Aug 2025 – Aug 2025
1 Month active
Languages Used
GradleJava
Technical Skills
AWS SDKDatabase ConnectivityHikariCPJDBCJava DevelopmentSpring Boot
Deepak Khamitkar
PROFILE
Deepak Khamitkar
During August 2025, Deepak contributed to the aws-samples/aurora-dsql-samples repository by developing comprehensive integration samples for the Aurora DSQL JDBC Connector. He implemented an end-to-end Java example that demonstrates secure database connectivity using JDBC, HikariCP for connection pooling, and Spring Boot for application integration. The sample showcases automatic IAM authentication and token management, enabling developers to adopt secure, token-based access patterns with Aurora DSQL. Deepak structured the repository for ease of reuse and onboarding, aligning with project standards. His work provided actionable, reusable patterns for scalable data access, leveraging Java, AWS SDK, and database connectivity best practices throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,338
Activity Months1
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for aws-samples/aurora-dsql-samples. Focused on delivering practical integration samples for the Aurora DSQL JDBC Connector to help developers build secure Java applications against Aurora DSQL. Implemented end-to-end sample demonstrating basic JDBC connections, HikariCP connection pooling, and Spring Boot integration with automatic IAM authentication and token management. The work advances our roadmap by providing actionable examples and reusable patterns for secure, scalable data access.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for aws-samples/aurora-dsql-samples. Focused on delivering practical integration samples for the Aurora DSQL JDBC Connector to help developers build secure Java applications against Aurora DSQL. Implemented end-to-end sample demonstrating basic JDBC connections, HikariCP connection pooling, and Spring Boot integration with automatic IAM authentication and token management. The work advances our roadmap by providing actionable examples and reusable patterns for secure, scalable data access.
August 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GradleJava
Technical Skills
AWS SDKDatabase ConnectivityHikariCPJDBCJava DevelopmentSpring Boot
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