Enterprise API & Data Orchestration Platform
Centralized REST ecosystem managing multi-tenant security, automated catalog ingestion, and cross-platform data sync.
Private employer Details are sanitized; architecture and outcomes are described without proprietary identifiers.
- Role
- Lead Backend Developer
- Year
- 2023
- Category
- Backend Software Dev
About This Project
Architected a high-performance Express.js backend that serves as the backbone for corporate operations. Engineered a four-tier security architecture and managed complex data lifecycles. From automated catalog scraping and OCR processing to real-time synchronization between legacy IBM DB2 systems and modern PostgreSQL environments.
Engineering Deep Dive
How a central Express platform separates every route across four authentication tiers, and how an OCR pipeline turned catalog page assignment from weeks of manual data entry into a reviewed batch update.
Read the engineering deep diveTechnologies Used
Engineering Challenges
01
Automated Catalog Management
Developed a pipeline for scanning multiple digital catalogs, utilizing Google Vision API for OCR to extract and assign SKU data from physical catalogs and assign a page. Implemented logic to handle complex page assignments, multi page appearances, and CSV-based batch updates for new catalog entries.
02
Cross-Platform Data Integrity
Engineered a robust synchronization engine to maintain consistency between legacy IBM DB2 and external providers databases. Solved data-mapping conflicts to ensure accuracy.
03
Dynamic Content Routing
Built a flexible CMS-style endpoint system that manages site content via metadata tags, allowing for dynamic frontend updates without requiring code deployments.
Technical Highlights
Multi-Tier Security Architecture: Implemented an advanced routing system with four distinct authentication layers, catering to public users, session-based customers, token-validated API clients, and internal staff.
Automated Reporting Engine: Developed a background task system that monitors API usage and performance, generating nightly analytics reports and customer inventory insights via automated mail services.
Business Logic
Inventory Intelligence: Created automated reporting tools that provide real-time visibility into customer stock levels and API health metrics for stakeholders.
Product Lifecycle Automation: Streamlined the transition of products from initial sample sets to production categories, reducing manual database entry time for the product management team.
Marketing Integration: Built automated sync pipelines between core customer data and third-party email service providers, ensuring marketing segments remain updated based on real-time buying behavior.