Divya Dharshni R I
@divyadharshniri
Detail-oriented QA Engineer with 6+ years of experience.
What I'm looking for
I am a dedicated QA Engineer with over 6 years of experience in both manual and automation testing. My expertise lies in leveraging WebDriverIO and JavaScript to enhance software quality and performance. At Tata Consultancy Services, I have executed comprehensive test cases to validate data governance policies and collaborated closely with data analysts and engineers to resolve data quality issues. My proactive approach and analytical skills have allowed me to conduct thorough data quality assessments, ensuring the delivery of exceptional software solutions.
Throughout my career, I have designed and implemented automated test scripts, significantly enhancing testing efficiency and coverage. I am proficient in utilizing tools such as Git for version control and Jira for effective project management. My experience in regression testing and user acceptance testing (UAT) has equipped me with the skills to validate software performance before production releases. I am committed to continuous improvement and actively contribute insights to refine testing processes, ensuring robust testing methodologies are in place.
Experience
Work history, roles, and key accomplishments
Test Engineer
Tata Consultancy Services
Oct 2018 - Present (6 years 8 months)
As a Test Engineer at Tata Consultancy Services, I executed comprehensive test cases for data governance, collaborated with cross-functional teams, and designed automated test scripts using WebDriverIO and JavaScript. My role involved managing version control with Git, conducting regression testing, and ensuring software quality through detailed reporting and defect tracking.
Education
Degrees, certifications, and relevant coursework
Anna University - ACT Campus
Bachelor of Technology, Food Technology
2014 - 2018
Grade: 8.49
Completed a Bachelor of Technology in Food Technology, focusing on the principles of food science, processing, and technology. Achieved a GPA of 8.49, demonstrating strong academic performance and a solid understanding of the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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