

Senior Performance Engineer with 10+ years of IT experience, including 6+ years specializing in end-to-end performance testing and analysis for enterprise healthcare and insurance applications. Experienced in designing realistic workload models, executing Load, Endurance, Stress, Spike tests, and identifying performance bottlenecks across application, database, and infrastructure layers. Worked closely with Developers, DevOps, and Business teams to resolve performance issues. Presented performance reports and insights to stakeholders on every sprint releases.
Hands-on expertise in performance monitoring, transaction trace analysis, backend call analysis, and AWS cloud-based application performance validation. Successfully supported cloud migration initiatives and optimized system scalability through structured root cause analysis and collaboration with development and infrastructure teams.
Strong exposure to performance testing on AWS environments including EC2, ALB, Auto Scaling, and Aurora PostgreSQL, with experience validating system behaviour under scaling conditions and peak load scenarios.
Led end-to-end performance testing activities for enterprise insurance applications supporting critical business journeys including Quote Creation, Policy Issuance, Renewals, MTAs, FNOL, Claim Registration, and Claim Settlement by using Load runner.
Key Responsibilities & Contributions:
Delivered end-to-end performance testing support for enterprise healthcare and insurance applications, ensuring system stability, scalability, and SLA compliance across multiple release cycles.
Key Responsibilities & Contributions:
Ø Performance Testing
o Requirements Gathering
o Test Planning
o Test Design
o Test Execution
o Performance Monitoring
o Performance Test Analysis
o Performance Test Report
Ø Tools
o Load Runner
o Jmeter
o Blazemeter
o Appdynamics
o Grafana
o Performance Center
o Jira
Ø Cloud & Infrastructure
o EC2, ALB, S3, AWS Cloud Watch & Auto Scaling (ASG)
o Load Balancer availability (ELB) & fault tolerance
o Cloud Scalability & reliability expectations
Ø Performance Engineering
o Monitored cloud metrics and handled scaling and distributed system challenges
o Back-end call analysis & Error analysis
o Validated system behaviour under distributed and high-load conditions
o AppDynamics & Grafana-Prometheus, Splunk, Broadcom DXI monitoring