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Sept 2025 - Mar 2026Redington Group · Hexalytics

CloudQuarks Marketplace

Redington Group · Hexalytics

Leadership / Role: Backend Engineer (at Hexalytics)

CloudQuarks Marketplace screenshot
Search Query Latency
40s → <6s85%+ latency drop on complex 200k+ SKU faceted queries
Throughput Multiplier
10xHandled 10x concurrent procurement requests without DB saturation
Catalog Dimension
200,000+Multi-tenant store-specific SKUs and dynamic vendor listings

Executive Summary

Developed scalable backend architecture for an enterprise B2B/B2C cloud marketplace facilitating vendor onboarding, catalog management, multi-tier subscription billing, and order workflows across 200,000+ store-specific SKUs.

Problem & Objectives

Enterprise clients encountered severe query latency and timeouts (up to ~40 seconds) when performing complex multi-facet filtering across 200,000+ store-specific product variants, vendor availability flags, and dynamic discount matrices.

Key Technical Contributions

  • Restructured PostgreSQL query architecture, eliminating redundant join cascades and full table scans on high-cardinality catalog tables.
  • Designed and deployed an AWS ElastiCache (Redis) caching tier with tag-based cache invalidation, ensuring instant updates upon catalog or pricing modifications.
  • Re-engineered pagination and filtering algorithms from offset-based pagination to keyset (cursor-based) pagination, guaranteeing constant O(1) query time.
  • Delivered modular Medusa.js commerce services and RESTful APIs supporting complex enterprise subscription lifecycles, vendor onboarding, and order fulfillment.
  • Collaborated directly with enterprise client stakeholders, achieving 99.9% uptime during peak procurement sales events.

System Architecture & Design

Diagnosed sequential database scans and join overheads using PostgreSQL EXPLAIN (ANALYZE, BUFFERS). Engineered composite B-Tree and GIN indexes targeting JSONB metadata attributes. Built a multi-tier caching layer in Redis with deterministic cache key hashing and tag-based pub/sub invalidation, integrated into a modular Medusa.js backend deployed on AWS.

Technologies Used

Node.js
Medusa.js
PostgreSQL
Redis
Docker
AWS (EC2 & ElastiCache)