Performance Test Engineer - 6+ Years in Enterprise Performance

Nagesh Ande

Performance Test Engineer

(***)- ***- 8486 ******.*@***********.*** LinkedIn

Summary

Performance Test Engineer with 6+ years of experience executing failover validation and load testing using JMeter, LoadRunner, and Gatling within Jenkins CI/CD pipelines. Proven expertise in heap analysis for memory leak detection, CloudWatch and Grafana monitoring, database bottleneck identification through stress testing, system stability assurance, SLA compliance, and chaos engineering principles. Skills

Methodologies: SDLC, Agile (Scrum), Microservices Architecture, Waterfall Performance Engineering & Testing: Load Testing, Stress Testing, Endurance Testing, Scalability Testing, Spike Testing, Volume Testing, destructive testing, performance bottleneck analysis, root cause analysis, JVM performance analysis, heap and thread dump analysis, capacity planning, performance regression.

Performance Testing Tools: LoadRunner, JMeter, k6, Gatling Observability & Performance Monitoring: Observability concepts including metrics, logs, traces correlation, SLA/SLO analysis AppDynamics, Grafana, Splunk, Azure Application Insights, Datadog, CloudWatch, Dynatrace Databases & Performance Analysis: SQL Server, Oracle, PostgreSQL, MySQL, MongoDB, database performance analysis, query optimization, index tuning, bottleneck identification

Programming & Scripting: Python, Java, JavaScript, SQL, Shell/Bash scripting, HTML, CSS API & Integration Testing: REST, SOAP, GraphQL, HTTP/HTTPS, WebSocket, microservices testing, postman Cloud & CI/CD: AWS, Azure, S3, CloudWatch, Azure App Service, Azure Monitor, Azure DevOps, Jenkins, Git Professional Skills: Problem-solving, cross-functional collaboration, communication, critical thinking, adaptability Work Experience

Performance Test Engineer BNY, New York June 2025 - Current

Engineered and executed load tests for core banking transaction APIs using JMeter and Python, simulating peak loads of 150K concurrent users to validate system stability and throughput.

Identified critical database bottlenecks in credit card authorization workflows through stress testing, providing performance diagnostics that facilitated database teams to reduce query latency by over 40%.

Integrated Gatling performance test scripts into Jenkins CI/CD workflows, collaborating with DevOps teams to automate regression testing and accelerate release validation from manual monthly cycles to daily automated runs.

Analyzed real-time metrics via Grafana and CloudWatch for payment gateway APIs, generating detailed performance reports that supported capacity planning decisions and validated sub-second SLA compliance under load.

Designed 72-hour endurance tests for mobile banking applications on AWS infrastructure, detecting memory leak patterns through heap analysis that development teams resolved prior to production deployment. Performance Test Engineer Atos, India June 2022 – May 2023

Implemented load and stress testing for package tracking APIs processing 2 million daily queries using LoadRunner and JMeter, validating response times under peak holiday season traffic on PCF infrastructure.

Conducted destructive testing for shipping rate calculation microservices, and testing system breaking points and recovery capabilities to validate infrastructure resilience and ensure automated recovery mechanisms functioned correctly under extreme failure conditions.

Performed endurance testing for warehouse management systems over 48-hour periods using JMeter, identifying memory leaks in inventory processing modules that development teams resolved through optimized connection pool configurations and garbage collection tuning.

Integrated performance test automation into Jenkins CI/CD pipelines for international customs clearance applications, enabling continuous validation of API response times and reducing regression testing cycles from bi-weekly manual execution to systematized daily runs.

Analyzed application performance metrics using AppDynamics and Splunk during quarterly corporate load cycles, testing 4-5 logistics applications simultaneously and providing detailed reports that supported capacity planning for peak shipping season infrastructure scaling. Performance Test Engineer Vivma Software Inc, India January 2018 - May 2022

Verified batch processing performance for insurance claims adjudication systems using LoadRunner, testing end-to-end completion of 250K claims within four-hour SLA windows and identifying ETL bottlenecks in data transformation logic.

Conducted performance testing for HL7 and FHIR API integrations using JMeter, measuring message processing throughput for healthcare data exchanges and validating compliance with interoperability standards under peak transaction volumes.

Executed scalability tests for patient enrolment portals during annual open enrolment periods, simulating phased user ramps from 10K to 85K concurrent users using LoadRunner and monitoring application behaviour via Dynatrace.

Validated data migration performance for electronic health record system upgrades, testing bulk patient data transfers of 15 million records using SQL Server profiling and ensuring minimal impact on production database operations.

Examined claims report generation performance using Splunk and AppDynamics, identifying inefficient SQL query patterns in analytics modules that business intelligence teams optimized to reduce report execution time from twelve to three minutes. Education

Master of Science Information Systems Harrisburg University of Science and Technology December 2025 Bachelors in Business Administration Reva University, India April 2019 Projects

A Development of AI and IoT Enabled Smart Microgreens Cultivation System:

Designed and developed a smart microgreens cultivation model integrating IoT sensors and AI analytics to monitor and optimize humidity, light, and nutrient parameters for sustainable indoor farming.

Built data-driven dashboards to track system behavior and identify anomalies impacting operational efficiency.

Applied performance analysis concepts to optimize resource utilization and ensure system stability.

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