I build scalable quality engineering systems that eliminate bottlenecks, accelerate delivery, and ensure absolute data integrity. I don't just detect failures — I design systems where failures don't survive.
I am a Quality Engineer turned SDET and Test Architect with over 8 years of experience in building scalable, efficient, and reliable testing ecosystems. My expertise lies in designing end-to-end quality engineering solutions that go beyond traditional testing.
I specialize in automation and backend validation, with strong hands-on experience in Python (Playwright, Selenium), SQL, and modern data platforms like Snowflake. I have successfully built automation frameworks from scratch, reducing execution time by up to 80%.
Designed and implemented a high-performance automation framework to validate large-scale data pipelines and dashboard reporting systems, ensuring complete data accuracy from backend to frontend. Automated end-to-end data validation across source, staging, and target layers with AI-driven enhancements.
Built a zero-to-one automation framework using Python + Playwright + pytest with reusable page object models, integrated CI/CD pipelines, and smart test reporting. Zero flaky tests, parallel execution built-in.
End-to-end ETL testing and report validation for a critical healthcare data platform. Source → Stage → Target validation with complex SQL reconciliation, handling sensitive regulatory data with 100% traceability.
I'm always open to discussing opportunities around test automation, data validation, and quality architecture — whether it's a full-time role, consulting, or collaboration.