PostgreSQL

Comprehensive POS Database Architecture: Designed and implemented the complete database schema for the Panda Express POS System, creating separate tables for customers, employees, inventory, orders, menu items, and management functions. The challenge involved establishing proper foreign key relationships that ensure maximum operational efficiency while maintaining data integrity across all business processes. Successfully implemented many-to-many relationships between inventory and customers, enabling complex order tracking and customer preference analysis. The database architecture supports comprehensive manager dashboard functionality including customer point-of-view analysis, menu management, item statistics, seasonal item integration, and employee administration.

Automated Inventory Management System: Developed sophisticated database triggers and stored procedures that automatically update food inventory levels based on real-time stock monitoring and demand projections. The system calculates when inventory levels drop below operational thresholds or projects future shortages based on historical usage patterns. This automated approach prevents stockouts and ensures consistent product availability while minimizing food waste and over-ordering, demonstrating advanced understanding of business logic implementation within PostgreSQL database systems.

Complex Business Logic Implementation: Implemented comprehensive business logic directly in PostgreSQL including automatic tax calculations, pricing accuracy verification, and item-to-pricing matching systems. The challenge involved ensuring that all financial calculations occur correctly at the database level while maintaining transaction integrity and audit trails. Successfully created raw SQL queries that handle complex pricing structures, promotional discounts, seasonal adjustments, and multi-item order processing with accurate tax computation for different product categories.

AWS S3 Integration for Cloud Data Management: Established reliable connection architecture between PostgreSQL databases and AWS S3 services for cloud-based data storage and backup. The integration enables secure data transmission and storage while maintaining local database performance for real-time POS operations. This hybrid approach provides both immediate transaction processing capabilities and secure cloud-based data persistence for business analytics and disaster recovery purposes.