Flipkart has developed Triton, a centralized feed processing platform designed to handle large-scale bulk operations efficiently. As the company grew, various teams created their own localized solutions for processing feed files. This led to duplication of effort and inconsistent processes across the organization. Triton aims to unify these fragmented systems by addressing common needs such as file parsing, data integrity, and governance, allowing teams to focus on their unique business logic. Triton supports multi-tenancy, meaning it can process different file formats for various clients through a single pipeline. It ensures data integrity with upfront schema validation and groups related records to maintain atomicity during processing. The platform is engineered for high performance, capable of handling 10,000 queries per second at the record group level while ensuring high availability and fault tolerance. It incorporates features like quota-based rate limiting to prevent issues with resource hogging and offers dynamic controls for managing workloads. The architecture of Triton breaks incoming files into smaller chunks and partitions for efficient processing. A coordinator orchestrates tasks among master instances, which schedule work for stateless workers that handle heavy processing. The system relies on a hybrid data strategy, using a relational database for transactional metadata and a NoSQL store for high-volume feed records. Apache Pulsar serves as the messaging backbone, facilitating the decoupling of processing tasks from I/O operations, thereby enhancing overall system performance and reliability.