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QA Automation Engineer with 5+ years in Manual, Automation, API, and Data Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ISTQB CTFL and ISTQB AI Certified QA Engineer with 4.5+ years of experience in manual, automation, API, and data testing. Hands-on experience in functional testing, test case design, API testing using Postman, ETL testing, and Snowflake data validation. Experienced in regression testing, UAT, defect tracking, and Agile Scrum collaboration, with a strong focus on data quality and product reliability. Available for immediate joining.
Parul University
M.Tech · Information Technology
August 1, 2015 – June 30, 2017
Gujarat Technological University
B.E. · Information Technology
August 1, 2011 – June 30, 2015
Pingtree LLC
Software QA Engineer
May 1, 2024 – January 1, 2025
India
Relanto.ai
QA Engineer
May 1, 2023 – March 1, 2024
Bengaluru, Karnataka, India
Celtic System Pvt Ltd.
Software QA Engineer
February 1, 2021 – March 1, 2023
Vadodara, Gujarat, India
Wolfsoft Pvt Ltd
QA Tester
July 1, 2020 – February 1, 2021
Vadodara, Gujarat, India
K.J.I.T College
Assistant Professor
December 1, 2017 – April 1, 2019
Vadodara, Gujarat, India
ISTQB CTFL foundation level
ISTQB
February 1, 2023 – Present
Certified SAFe® 5.0 Practitioner from safe Agile
safe Agile
August 1, 2021 – Present
Certified in Manual Testing and Automation testing with selenium
Unknown
July 1, 2020 – Present
Cultural Fit Analysis
The candidate's diverse experience across different companies and roles, including an academic position, suggests adaptability. Their certifications in Agile methodologies (SAFe) indicate a fit for modern development practices. The focus on data quality and product reliability aligns well with a quality-driven culture. However, the lack of specific project details beyond job descriptions makes it difficult to fully assess cultural fit beyond general alignment with QA best practices.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, particularly in working with developers to resolve defects and with data engineers to debug SQL queries. Their experience in Agile environments suggests adaptability and a team-oriented approach. The ability to mentor students as an Assistant Professor indicates leadership potential and communication skills.