A distributed system designed to execute schema migrations across thousands of tenant databases in parallel. Leveraging a queue-based architecture with worker processes, the service ensures scalable, fault-tolerant execution while maintaining data integrity. Built with idempotent migration patterns, retry handling, and centralized tracking, it addresses real-world challenges such as partial failures, stale tasks, and high-volume coordination.It All Begins Here

Designed to process high-frequency viewer events in near real-time, this system transforms raw activity streams into reliable session analytics at scale. Built around a stateless API and time-windowed session logic, the system ensures accurate, near real-time analytics while maintaining resilience under load. The architecture emphasizes scalability, fault isolation, and extensibility, with clear separation between ingestion, processing, and persistence layers—enabling independent scaling and reliable handling of large event volumes.