April 2026 performance summary focusing on delivering robust, scalable notification capabilities, stabilizing streaming processing, improving error handling, and aligning API dependencies. Key outcomes include enhanced EventBridge-driven notifications, more maintainable messaging workflows, improved resilience for missing data, and API alignment to ensure future compatibility. Technologies demonstrated include AWS Lambda, EventBridge, Kinesis, CloudFormation, and Maven-based project maintenance.

In October 2025, delivered a complete Notification Rework Processing and Updater flow for the pagopa/pn-delivery-push repository, establishing a scalable, event-driven pipeline for delivery push notifications and timeline reworks.

May 2025 summary for pagopa/pn-action-manager: Delivered Action Manager API and Controller enhancements, introducing new endpoints for inserting and unscheduling actions and updating the action data mapper. Improved API consistency by aligning OpenAPI schema with NewAction, and completed comprehensive test/code cleanup, plus sonar issue resolutions to reduce technical debt. These changes streamline integration with downstream services, improve API reliability, and reduce maintenance costs. Demonstrated OpenAPI-driven API design, controller implementation, data-mapper updates, and rigorous code quality practices.

January 2025 monthly summary: Delivered deprecation and refactor of notification status handling across two repos, plus a performance-oriented upgrade for Kinesis data processing. By removing legacy status update API invocations, decoupling status updates from delivery flow, and switching to AWS SDK unmarshall for Kinesis parsing, the work reduces maintenance burden, clarifies responsibilities, and improves reliability and throughput for notification status management and event processing.

December 2024 monthly summary for repository pagopa/pn-delivery-push focusing on key features delivered, major bugs fixed, and overall impact. This period centered on strengthening reliability of critical timeline processing and improving code quality through static analysis governance.