Aug 2023 – Nov 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

• 1. Extended API capabilities by incorporating additional fields for client- specific needs, enhancing search functionality, and supporting more dynamic data retrieval.
• 2. Enhanced kickouts search functionality on UI by optimizing records with high kickout counts, preventing crashes caused by large data volumes Leveraged a priority queue to efficiently display the top K records with the highest kickout counts, providing clearer error messages and enhancing user insights into critical issues.
• 3. Performed analysis to optimize Kubernetes pod startup time, achieving a reduction of 50 seconds and streamlining deployment processes.
• 4. Integrated KEDA into the transaction ingestion application to enable event-driven autoscaling, optimizing resource usage, and enhancing system responsiveness during fluctuating workloads.
• 5. Introduced idempotency in transaction ingestion pipeline, safeguarding against duplicate processing and improving the reliability of transaction data.
• 6. Implemented event-driven status tracking for a specific transaction type booking, facilitating timely status updates and enhancing visibility into transaction processing stages
• 7. Addressed critical bugs in paydown booking workflows and status retrieval, resulting in smoother operations and reliable status updates for end-users.
• 8. Enhanced transaction blotter screens with guardrails for handling large data requests, optimizing performance, and ensuring a smooth user experience during heavy data loads.
• 9. Implemented date restrictions on advanced search screens in the UI to prevent open-ended queries, reducing the risk of large data fetches, and improving overall system performance.
• 10. Optimized database performance by eliminating redundant conditional table joins in queries, achieving an 8% decrease in CPU utilization during operations.

Aug 2021 – Jul 2023 · 1 yr 11 mos · Bengaluru, Karnataka, India · Hybrid

• 1. Working as a Backend Developer In Reconciliation
• Team.
• 2. Integrated Amazon SQS With Recon To Facilitate
• Internal Sync For Trial Balance Data.
• 3. Done K8 Containerization For Some Recon
• Applications.
• 4. Migrated Shared Database Postgres SQL Server To
• Standalone Postgres SQL Server.
• 5. Integrated Flyway With Clamp Application For
• Database Migrations.
• 6. Created Datadog Monitors For SQS Monitoring.
• 7. Written Clean Unit Test Cases Of My Tickets With
• Line Coverage More Than 95%.
• 8. Optimized Containers CPU, Memory, And Replica
• Count For Better Cost Management.
• 9. Created K8 Config-Map Property And Patches For
• SQS Enabling For Specific Pods.
• 10. Integrated Vulnerable Jar Scanner Job in GitLab Pipelines which scans and report vulnerable jars in our artifacts and integrated with slack to send the report for monitoring purpose.

Feb 2021 – Jun 2021 · 4 mos · Pune, Maharashtra, India

• Worked as a Backend Developer at Amdocs Optima R & D Unit. Involves mostly on bug fixing in ESB (Enterprise Service Bus) Layer.