BACKEND AUTOMATION70% less manual work

Queue-Driven Financial Processing

The challenge

Financial records arrived at a scale that made synchronous processing and manual reconciliation slow, fragile, and difficult to operate. The system needed safe retries, clear processing boundaries, and predictable throughput.

Architecture approach

  • Designed an asynchronous Invoice Transaction Upload queue.
  • Separated intake, validation, processing, and error-recovery responsibilities.
  • Added controlled retries and operational visibility for failed records.
  • Integrated the workflow with existing PHP, Drupal, and Salesforce services.
  • Automated deployment and release practices around a business-critical process.

Outcome

The system processes tens of thousands of records per cycle and reduced manual reconciliation work by approximately 70%. Teams gained a safer, more observable workflow that can scale independently of user-facing requests.

Core stack

PHP 8.3 · Drupal 11 · Queue Workers · MySQL · Salesforce APIs · CI/CD

Modernizing a high-volume backend workflow? Let’s discuss the architecture.