Prashant Tyagi

Developed a scalable, modular ATS-integration framework using Node.js/TypeScript, RabbitMQ, and Redis to synchronize job and candidate data across multiple ATS platforms. Improved throughput by 35% and reduced API errors by 40% through schema-driven validation, optimized batching, and robust retry logic with contract-first OpenAPI tests. Built a unified customer portal consolidating alerts and tickets, reducing support load by 30% and MTTR by 50%. Onboarded 5+ ATS partners in 3 months and maintained 99.9% uptime via Prometheus/Grafana, Sentry, and automated deployments with GitHub Actions, Docker, and Kubernetes, cutting release cycles by 20%.

Developed a scalable, modular ATS integration framework using Node.js/TypeScript, RabbitMQ, and Redis to synchronize job and candidate data across multiple ATS platforms (Greenhouse, Lever, Lift, Workday, and more). Enhanced throughput by 35% and reduced API errors by 40% through schema-driven validation, optimized batching, and robust retry logic with contract-first OpenAPI specifications and automated contract tests. Configured monitoring and automated deployments to improve uptime and reduce release cycles.

Developed a scalable, modular ATS-integration framework using Node.js/TypeScript, RabbitMQ, and Redis that synchronizes job and candidate data bi-directionally across multiple ATS platforms (Greenhouse, Lever, Lift, Workday, and more). Enhanced throughput by 35% and reduced API errors by 40% through schema-driven validation, optimized batching, and robust retry logic—with SLAs enforced by contract-first OpenAPI specifications and automated contract tests. Decreased support load by 30% and cut MTTR by 50% by implementing a unified customer portal that consolidates all integration alerts and tickets into one dashboard. Facilitated the onboarding of 5+ ATS partners in 3 months by translating requirements into technical designs, running end-to-end tests, and coordinating go-lives. Secured 99.9% uptime by configuring Prometheus/Grafana monitoring, setting up Sentry alerts for anomalies, and automating deployments with GitHub Actions, Docker, and Kubernetes—reducing release cycles by 20%