Performance Lead Resume
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TECHNICAL SKILLS
Programming Skills: Java | R |SQL | C++ | SAS | Python | Linux
Functional: Software Engineering | Performance Testing | Automation
Tools: / Platform: LoadRunner (Http, TruClient, Java and Web Services) | JMeter | App Dynamics | SiteScope | Elastic Search | Fiddler | SOAP UI| MS Project | Performance Center | Jira | Jenkins| Dynatrace
Database: Oracle | Microsoft SQL | MongoDB | IBM DB2
PROFESSIONAL EXPERIENCE
Performance Lead
Confidential
Responsibilities:
- Lead a team of 4 people to ensure timely delivery of project artifacts using Agile methodology
- Planned and Coordinated test scripts execution and reporting
- Developed scripts using Web HTTP protocol to simulate real user communication with web server
- Identified memory management issues of application using IBM heap analyzer
- Understood business requirements and created SLA as per client requirement
- Used web services protocol to send a soap request and parse xml response to identify middleware performance(api)
Business Technology Analyst
Confidential
Responsibilities:
- Performed proof of concept for simulating mobile users across multiple geographies for corporate banking application
- Recorded HTTP traffic and manipulated the response to validate UX/UI behavior for error handling using Fiddler
- Monitored metrics like Network, CPU, Disk & Memory utilization using SiteScope to identify performance bottlenecks
- Created Test Strategy document during requirement gathering phase by continuous client interaction
System Engineer
Confidential
Responsibilities:
- Executed performance (Load, Breakpoint, Stress, Stability, Scalability and Resilience testing) tests by simulating workload model
- Developed scripts using Java using JMS API to identify message pileups across system architecture in Airline domain
- Performed root cause analysis of Server logs to identify performance bottlenecks in SOA Architecture
- Involved in capacity planning to identify hardware and software configurations required by applications including Hyper - V and Rack Servers
