Amit Pandey

Designed and executed performance tests using automation scripts, implemented test scripts with HAR and profiler file downloads, and used Azure pipelines for executions with Watchtower monitoring. Identified API bottlenecks and collaborated with Dev/Infra teams for optimization.

Designed and executed large-scale performance tests using Automai and JMeter, implemented test scripts with parameterization, correlations, checkpoints, pacing, and think time. Used AWS pipelines for executions and integrated monitoring with DataDog and Grafana.

Designed workload models simulating 10k+ concurrent users, used JMeter, Grafana, Eureka, and CyberArk for performance tests and monitoring. Reduced average API response time by 25% by identifying heavy DB queries.

Developed and executed JMeter scripts for PwC application performance validation, created and automated API test cases for backend verification, and validated database integrity using complex SQL queries.

Performed performance and API testing using Postman and SoapUI, mocked external applications for API validation, and designed and executed test cases ensuring secure, high-performing transactions.

Executed manual, API, and UAT testing for critical telecom applications, validated system behavior under high traffic conditions, and collaborated with business stakeholders during requirement analysis and UAT signoff.

Completed a Bachelor of Technology in Computer Science and Engineering from Skyline Engineering College, affiliated with UPTU, in 2013.

Earned the Apache JMeter Intro Certification from Blazemeter.

Earned the Apache JMeter Pro Certification from Udemy.