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
Deepak Scomk developed practical integration samples for the aws-samples/aurora-dsql-samples repository, focusing on secure Java application connectivity with Aurora DSQL. He implemented an end-to-end Java sample that demonstrates basic JDBC connections, HikariCP connection pooling, and Spring Boot integration, all featuring automatic IAM authentication and token management. Using Java and the AWS SDK, Deepak structured the repository to provide reusable patterns for secure, token-based data access, making onboarding and adoption straightforward for other developers. His work addressed the need for actionable, production-ready examples, advancing the repository’s roadmap and supporting scalable, secure database connectivity in modern Java applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
2,338
Activity Months1
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Daniel FrankcomMember
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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
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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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