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
Developed practical integration samples for the Aurora DSQL JDBC Connector within the aws-samples/aurora-dsql-samples repository, focusing on secure Java application connectivity to Aurora DSQL. Delivered an end-to-end Java example that demonstrates basic JDBC connections, HikariCP connection pooling, and Spring Boot integration, all featuring automatic IAM authentication and token management. The implementation provides reusable patterns for secure, token-based data access, supporting both straightforward onboarding and alignment with repository standards. Leveraged Java, Spring Boot, and AWS SDK to address common challenges in database connectivity, enabling developers to adopt scalable, secure access methods for Aurora DSQL in real-world application scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,338
Activity Months1
Your Network
22 peopleShared Repositories
22
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
Repositories Contributed To
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