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gayathri shikari

@gayathrishikari

Senior QA Engineer specializing in manual, API and performance testing for e-commerce , banking applications with iOS and Android device testing

India

Message

What I'm looking for

I seek an Agile team-focused QA role where I can lead testing for e-commerce/web applications, expand performance and API testing impact, and drive measurable quality improvements.

I am a Senior QA Engineer with over 6.7 years of hands-on experience in manual testing and 2+ years in performance testing, primarily focused on e-commerce and web applications. I have driven defect detection and resolution using JIRA and Bugzilla, managed test cases in TestRail and Zephyr, and executed REST API testing with Postman to improve integration reliability.

I integrate performance testing (JMeter) into SDLC to reduce load times and improve throughput, and perform backend verification with SQL alongside HTML/CSS/JavaScript audits to resolve UI and dynamic-element defects. I work effectively in Agile/Scrum environments and have a track record of measurable improvements in response times, defect resolution rates, and coverage.

Experience

Work history, roles, and key accomplishments

QA Engineer

Hogarth Worldwide

Jun 2023 - Apr 2024 (10 months)

Integrated JMeter performance testing into STLC for e-commerce, simulating 500 users to reduce load times by 28% and tracked 140 defects in JIRA with a 97% resolution rate.

JMeter Manual Testing Jira TestRail Postman API Testing SQL

Senior QA Engineer

ZenQ

Sep 2021 - Dec 2022 (1 year 3 months)

Led manual and performance testing in Agile, load-tested cart/checkout with 300 virtual users improving throughput by 30% and logged 130 defects in Bugzilla for rapid triage.

JMeter Manual Testing Bugzilla Zephyr Postman REST API Testing SQL Agile

Test Associate

A& A Innovative Solutions

Jun 2017 - Aug 2021 (4 years 2 months)

Executed manual and performance testing across e-commerce platforms, optimizing response times by 25%, tracked 320 defects in JIRA and validated 380 backend records via SQL.