Distributed Cache System
High-performance distributed caching layer with Redis integration for low-latency data access across multiple nodes.
A collection of work across distributed systems, platform engineering, and scalable architectures
High-performance distributed caching layer with Redis integration for low-latency data access across multiple nodes.
Scalable microservices architecture with service mesh, API gateway, and event-driven communication patterns.
Real-time data processing pipeline with stream processing, ETL workflows, and automated data quality checks.
Production-grade Customer Data Platform processing 10M+ daily events using a metadata-driven Spark architecture.
Production-grade journey orchestration engine processing 100K+ daily events with <80ms p99 latency using PyFlink and Kafka.
Production-grade Kafka consumer framework with auto-healing and schema evolution processing 10M+ daily events.