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QA Automation Engineer with 8+ years in Quality Assurance and Adtech platforms
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Assessing your cultural and operational fit
Detailed-oriented Quality Assurance Engineer with 5.9 years of overall professional experience including 3.9 years in Quality Assurance and 2 years in Non-IT Customer Operations. Strong hands-on experience in Manual testing, API testing and SQL across ERP-style and Adtech platforms. Well versed with SDLC, STLC, Agile methodologies and complete Defect lifecycle management. Demonstrated expertise in test planning, test execution, defect tracking, and cross -functional collaboration with Product, Development, and Data Engineering Teams. Experienced in leveraging AI-assisted tools to improve requirement analysis, manual test case design, exploratory testing, test data preparation, and defect reporting efficiency.
Maratha Mandal Engineering College, VTU,Belgaum
B.E · Computer Science and Engineering
N/A – Present
YuktaMedia India Private Limited
Quality Assurance Engineer
January 1, 2022 – September 1, 2025
Pune, Maharashtra, India
Tech Mahindra
Customer Service Business Advisor
December 1, 2018 – November 1, 2019
Pune, Maharashtra, India
Atidiv
Online Business Analyst
October 1, 2017 – October 1, 2018
Pune, Maharashtra, India
Hindustan Times
June 30, 2026 – Present
A real-time dashboard to track ad revenue trends by date, region, ad type, and platform. Tested 25+ visual reports and charts to ensure accurate revenue data display. Performed complete UI testing for filters, time ranges and graphs across browsers (Chrome and Firefox). Verified backend-to UI data mapping, ensuring ERP-grade reporting accuracy. Logged 50+UI and data-related bugs in Excel and ensured timely resolution. Helped improve dashboard stability by identifying and resolving edge cases issues during exploratory testing.
Viacom 18 (JioStar) – Ad Booking & Revenue Management Suite
June 30, 2026 – Present
A suite of 17+ integrated web applications for managing end-to-end advertising operations including deal creation, inventory booking, campaign tracking, revenue sharing, billing, and reporting. Owned and executed complete QA lifecycle for booking, billing, campaign, reporting, and revenue modules. Tested ERP-style financial workflows including revenue sharing, carry-forward logic, and invoice scheduling. Validated integration between booking, revenue engine, financial services and reporting dashboards. Ensured smooth data flow across multi-module ERP components.
Amagi - Automated Self-Invoicing System
June 30, 2026 – Present
A platform used by partners to manage revenue statements, generate invoices, track payments, and send follow-up emails automatically. Handled complete QA ownership for PP, CP, and DSP modules. Created 300+ test cases to cover finance workflows similar to ERP AR/AP modules. Performed manual testing for revenue approvals, invoice creation, and payment updates. Tested 30+APIs to validate invoice data financial status updates, and error handling. Ensured financial data consistency between invoicing, revenue statements, and payment updates.
Cultural Fit Analysis
The candidate's project experience spans complex enterprise applications in AdTech and financial domains, indicating adaptability to diverse business contexts. Their proactive upskilling in automation and CI/CD aligns with a growth-oriented culture. The breadth of skills listed (Manual, API, SQL, basic automation) and experience in cross-functional teams suggest a collaborative mindset. The transition from non-IT roles to QA demonstrates a strong drive and ability to learn and adapt, which is a positive indicator for cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, attention to detail, and team collaboration skills, which are crucial for a senior QA Automation Engineer. Their experience in Agile environments and defect lifecycle management indicates a good operational fit for modern development teams. The previous customer service and business analyst roles suggest strong communication and a user-centric perspective, beneficial for understanding business requirements and user acceptance testing.