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QA Automation Engineer with 3+ years in manual, API & database testing
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Assessing your cultural and operational fit
Quality Analyst with 3+ years of experience in manual, API, and database testing across CRM, HRMS, and financial domains. Skilled in end-to-end, regression, and migration testing, including Salesforce to Microsoft Dynamics 365 migration. Proficient in Postman, JIRA, and SQL, with strong expertise in manual testing techniques and full QA lifecycle management.
Chandigarh Group of Colleges
MBA
August 1, 2009 – June 30, 2012
Chandigarh Group of Colleges
Bachelor of Applications
August 1, 2005 – June 30, 2008
SourceMash Technologies
Quality Analyst
September 1, 2025 – March 1, 2026
Mohali, Punjab, India
Maxxmann Communications Pvt. Ltd
Quality Analyst
February 1, 2025 – August 1, 2025
Chandigarh, Chandigarh, India
Dortex Al Pvt. Ltd.
Quality Analyst
September 1, 2024 – February 1, 2025
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Wits Innovation Lab
Quality Analyst
April 1, 2022 – January 1, 2024
Mohali, Punjab, India
Learn Generative AI in Software Testing
Udemy
January 1, 2024 – Present
Learn JMETER from Scratch on Live Apps - Performance Testing
Udemy
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's experience across various domains (CRM, HRMS, financial) and independent QA management roles suggests adaptability and a broad understanding of different business contexts. Their certifications in JMeter and Generative AI indicate a proactive approach to learning and staying current with industry trends, which aligns with a culture of continuous improvement. However, the lack of explicit automation project experience beyond tool mentions might require further assessment for a dedicated QA Automation role.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills such as attention to detail, analytical thinking, problem-solving, and an ownership mindset, which are crucial for a QA Automation Engineer. Their experience as a sole QA in previous roles indicates a high degree of self-reliance and accountability. The quick learner/adaptable trait suggests a willingness to embrace new technologies, which is beneficial for automation.