Case study
Citizen Document Government System
Developed secure REST APIs and job-driven processing to sync millions of citizen records with government systems, including file handling and dependable document delivery.
- Role
- Developer
- Published
- Tags
- government · citizen-data · backend · messaging · data-integrity
Citizen records
Million-scale
Sync scope with government source systems
Delivery squad
5 engineers
Focused backend and integration team
Problem
Downstream systems depended on consistent citizen information while large record volumes and document flows required secure file handling, observable background jobs, and dependable synchronization with government source systems without blocking interactive traffic.
Solution
I implemented secure REST APIs, relational storage on PostgreSQL, and Redis for low-latency data paths where appropriate. RabbitMQ and Hangfire coordinated background jobs for synchronization and document processing, while WebDAV supported file delivery patterns expected by integrated systems.
Architecture decisions
- Synchronization and file-heavy work were separated from interactive APIs so retries and monitoring did not block user-facing requests.
- RabbitMQ buffered work between APIs and workers to absorb bursts and reduce coupling.
- Hangfire provided schedules, retries, and operational visibility for long-running background pipelines.
Impact
- Synced million-scale citizen records with government source systems through resilient APIs and jobs.
- Delivered reliable document and file processing through managed background pipelines.
- Shipped as part of a five-engineer squad focused on backend and integration delivery for a sensitive public-sector scope.