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QA Automation Engineer with 4+ years in Salesforce CPQ & Oracle Siebel testing.
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Strategic Agile Quality Assurance Engineer with 4+ years of expertise in testing complex Salesforce CPQ and Oracle Siebel CRM environments. Specialized in the Quote-to-Cash (Q2C) lifecycle including product configuration, advanced pricing rules, and full-scale data migrations. Proven track record of reducing post-release defect leakage by 42% through risk-based testing strategies. Salesforce Certified AI Specialist experienced in validating large-scale data transitions including migration of millions of legacy records – and ensuring pricing accuracy for global enterprise clients. Proficient in JIRA, ServiceNow, SOQL, Postman, and Retool for end-to-end defect lifecycle management.
St. Mary's Engineering College
Bachelor of Technology
August 1, 2017 – June 30, 2021
Tata Consultancy Services (TCS)
Agile Quality Assurance Engineer
February 1, 2022 – Present
Hyderābād, Telangana, India
Product Launch & Maintenance - Salesforce CPQ
February 1, 2023 – June 1, 2026
Orchestrated testing of complex pricing structures including multi-tier discount adjustors and advanced approval workflows within the Salesforce CPQ environment. Verified end-to-end flows for Contracts, Subscriptions, and Invoices, ensuring integrity of recurring revenue cycles and post-launch billing operations. Executed comprehensive regression test suites across Dev, QA, and UAT environments, identifying 85+ high-severity defects before production deployment to safeguard platform stability. Conducted sprint demo calls with business stakeholders to showcase tested features and obtain sign-offs, ensuring business readiness before each release. Worked closely with developers and BAs during defect triage to ensure timely resolution and accurate root cause identification.
Q2C Migration - Legacy Siebel to Salesforce CPQ
February 1, 2022 – January 31, 2023
Managed migration of millions of legacy customer records from Oracle Siebel to Salesforce CPQ, ensuring data integrity and mapping accuracy through rigorous SIT and UAT phases. Validated complex data mapping rules to ensure accurate transformation of legacy record structures into Salesforce CPQ-compatible formats, preventing data loss and field mismatches. Leveraged Retool (in-house tool) to monitor real-time migration metrics, providing stakeholders with visibility into data conversion success rates and remaining volume. Performed integration testing via Dell Boomi connectors for Salesforce-SAP and Salesforce-Siebel interfaces, ensuring seamless data flow post-migration. Collaborated with technical teams to resolve data-specific defects and mapping discrepancies, ensuring seamless transition of legacy records into Salesforce CPQ format. Participated in migration sprint retrospectives to identify process gaps and continuously improve data validation strategies.
Salesforce Certified AI Specialist
Salesforce
June 1, 2026 – Present
Salesforce Certified AI Associate
Salesforce
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience in Agile environments, participation in various Scrum ceremonies, and collaboration with cross-functional teams (developers, BAs, Scrum Masters) indicate a good fit for a collaborative and iterative work culture. The diversity of projects, including product launches and large-scale data migrations, shows adaptability and a willingness to tackle varied challenges. The focus on Salesforce CPQ aligns well with roles requiring specialized domain knowledge.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through active participation in Scrum calls, defect triage with developers and BAs, and facilitating UAT sessions. Their experience in managing the defect lifecycle in JIRA and conducting RCA indicates a proactive and problem-solving approach. The ability to present tested features to business stakeholders suggests good communication and presentation skills.