Bhoompalli Dhanush Rao

Quality Assurance Engineer | API Testing | Python Automation (Pytest) | Manual Testing | SQL

Talent

HyderabadMember since September 2, 2026

PytestPythonPython RequestsRegression TestingSanity TestingIntegration TestingAPI TestingPostgreSQLMySQLPostmanJiraZephyrGit

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PytestPythonPython RequestsRegression TestingSanity Testing

About

Quality Assurance Engineer with expertise in API testing, test automation architecture using Python (Pytest), and backend database validation. Demonstrated success in designing scalable API automation frameworks from scratch, executing end-to-end functional and regression suites, and validating backend data integrity using SQL. Proven track record of driving testing efficiency across Agile environments and collaborating with cross-functional teams for reliable software delivery.

Experience

Quality Assurance Engineer (QAE) at Digitap.ai (2025-06 – Present)

Architected and maintained scalable API automation test suites using Python and Pytest, accelerating regression testing execution and reducing manual overhead.
Test Management Automation: Developed a standalone Python script integrating Jira REST APIs and Excel parsers to dynamically load test data and post test cycle execution results directly to Jira.
Validated RESTful APIs using Postman and Python Requests, ensuring endpoint performance, data contract compliance, and error handling.
Executed complex SQL queries (PostgreSQL/MySQL) to perform backend verification and validate system data integrity.
Led end-to-end functional, smoke, sanity, and integration testing across core web and backend applications.
Managed end-to-end defect lifecycles using Jira and Zephyr; actively contributed to sprint planning, requirement analysis, and release validation.

Subject Matter Expert (SME) at Foundever - Affirm (2023-05 – 2025-06)

Conducted functional verification, sanity testing, and UAT support on internal business applications prior to production deployment.
Investigated complex operational and system issues, collaborating directly with engineering teams to perform root cause analysis.
Documented detailed bug reports with precise reproduction steps and expected outcomes to streamline defect resolution.
Recommended process optimizations to mitigate recurring operational bottlenecks and enhance platform reliability.