High-Volume Asynchronous PDF Flow | Truenorth - Unison

This project addressed the critical business need for generating high-volume, standardized PDF documents (e.g., contracts, statements) for customers and internal stakeholders. Due to the high computational load and I/O required for document rendering, a synchronous approach was unfeasible.

My core responsibility was implementing a robust, decoupled flow to handle this workload efficiently. This involved creating a queue-based system that processes requests one-by-one, ensuring system stability. Crucially, I designed the service to be modular, allowing it to dynamically select the correct document template based on the input record type, which provides maximum flexibility for future document needs.

Impact on Operations and Flexibility:

  1. System Stability & Efficiency: By implementing an asynchronous queue, the system maintains high stability and performance, preventing resource-intensive document generation tasks from blocking other critical web services.

  2. Standardization & Scalability: The modular design, which utilizes dynamic template selection, ensures all generated documents adhere to corporate standards and allows the business to easily add new document types without requiring a full system redesign.

Key Responsibilities & Achievements:

  • Asynchronous Processing Flow: Designed and implemented a resilient, queue-based workflow to handle the heavy computational load of PDF generation, ensuring requests for multiple records are processed reliably and sequentially.

  • PDF Generation Engine: Built the core service utilizing headless rendering technology to process HTML templates and convert them into high-quality, standardized PDF documents.

  • Modular Template Architecture: Engineered the service to identify the input record type and dynamically select the correct document template, ensuring the system is highly extensible for future document types (e.g., contracts, notices).

  • Resource Management: Optimized the processing flow to manage system resources effectively, preventing performance degradation during peak document generation requests.