Lead Performance Engineer having 10 years of experience with expertise in implementing and managing enterprise-grade APM tools like Dynatrace, AppDynamics, and New Relic for end-to-end application observability.
Proficient in transaction tracing, service maps, synthetic monitoring, and real user monitoring (RUM) to ensure optimal application health and user experience.
Skilled in performance tuning, anomaly detection, and root cause analysis across distributed systems, microservices, and Kubernetes-based environments.
Experienced in integrating APM solutions with CI/CD pipelines, automating alerting, and defining SLOs/SLAs to drive a performance-centric culture. Proficient in tools like JMeter, K6, JProfiler and APM solutions, with a strong focus on CI/CD integration and observability. Skilled in architecture reviews, building reusable testing frameworks, and driving performance improvements across web, mobile, and desktop platforms.
Jmeter, LoadRunner, K6
Dynatrace, AppDynamics, New Relic, APM Elasticsearch, AWS cloudwatch
JProfiler
OpenTelemetry
WebPageTest / Sitespeedio
Performance Baseline & Bottleneck Analysis
Workload Modeling & Concurrency Analysis
Jenkins, GitLab
AWS
Kubernetes, Microservice architecture
Java, Shell script
MongoDB Operations Foundation for MongoDB Atlas, MongoDB
MongoDB Operations Foundation for MongoDB Atlas, MongoDB
Post Graduate Certifcate in Product Management, Duke Corporate Education
Python Data Structures, University of Michigan
Jmeter Certifcation for completing the training and project, Spring people
Certifcation for completing the training and project on LoadRunner, Spring people