
Worked on the ministryofjustice/hmpps-integration-api repository to deliver a new Expression of Interest API endpoint, enabling job associations with HMPPS IDs, translating them to NOMIS, and publishing messages to AWS SQS for downstream processing. Emphasized robust validation and error handling to ensure data integrity and reduce manual intervention when handling invalid or missing person records. In the ministryofjustice/cloud-platform-environments repository, addressed database availability by disabling automatic start and stop for the RDS PostgreSQL instance using Terraform, minimizing downtime risks during deployments. Leveraged Java, Kotlin, and infrastructure as code practices to enhance backend reliability and cloud platform management.
April 2025: RDS Auto Start/Stop Disabled to Prevent Downtime in ministryofjustice/cloud-platform-environments. Implemented explicit configuration to disable automatic start/stop for the RDS PostgreSQL instance, preventing unintended restarts and ensuring consistent database availability across deployments.
April 2025: RDS Auto Start/Stop Disabled to Prevent Downtime in ministryofjustice/cloud-platform-environments. Implemented explicit configuration to disable automatic start/stop for the RDS PostgreSQL instance, preventing unintended restarts and ensuring consistent database availability across deployments.
February 2025 monthly summary for ministryofjustice/hmpps-integration-api: Delivered a new Expression of Interest API endpoint that associates a job with a person’s HMPPS ID, translates it to NOMIS, and publishes an HMPPS message to SQS for downstream processing. Implemented robust validation and error handling for invalid HMPPS IDs and missing persons, ensuring data integrity and reducing manual follow-up. This work enables real-time, message-driven workflows and improves data consistency across NOMIS and downstream systems.
February 2025 monthly summary for ministryofjustice/hmpps-integration-api: Delivered a new Expression of Interest API endpoint that associates a job with a person’s HMPPS ID, translates it to NOMIS, and publishes an HMPPS message to SQS for downstream processing. Implemented robust validation and error handling for invalid HMPPS IDs and missing persons, ensuring data integrity and reducing manual follow-up. This work enables real-time, message-driven workflows and improves data consistency across NOMIS and downstream systems.

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