Project: Instagram Clone — 5-Database Backend Architecture

Engineered a high-performance backend for an Instagram-style application, splitting different types of data across 5 distinct databases to handle millions of fast user interactions with low latency.

Key Technical Implementations: • Cassandra (Feeds & Timelines): Handled massive read/write traffic by partitioning user feeds chronologically to bypass slow database joins. • Redis (Real-Time State): Utilized atomic increment operations to handle millions of likes and instant UI feedback without race conditions. • Neo4j (Social Graph): Built a graph model to map user relationships and power fast follower recommendation queries. • MongoDB (User & Comment Metadata): Managed semi-structured, flexible user profiles and nested, threaded comment replies. • MinIO (Media Storage): Configured an Amazon S3-compatible object bucket system to store raw video reels and images cleanly. • Docker Compose: Containerized the entire microservices architecture to allow each component to scale independently.