Pavel Kirkovsky

Building production-ready test automation frameworks with Playwright, Cypress, and Appium and implementing AI-enhanced testing workflows to accelerate test generation and reduce regression time. Integrate suites into client CI/CD pipelines and author QA playbooks to standardize quality practices.

Automated ETL/ELT testing across Azure Data Factory, Databricks, and Snowflake, reducing data pipeline defects by 40% and building Playwright coverage for QNXT workflows to eliminate 20+ manual testing hours/week. Led on-premises AI initiative for SQL validation.

Led SDET team to build E2E automation with Cypress and Playwright, increasing regression coverage by 60% and reducing release delays by 40% while architecting CI/CD pipelines with Okta integration and delivering FedRAMP-compliant features.

Led quality engineering for Amazon Prime Now and Amazon Fresh launches, managing a 20-member QA team and building scalable automation frameworks that reduced regression time by 50% and shortened engineer onboarding by 30%.

Developed automated suites for desktop apps, API, video streaming, and sensor validation; built Wireshark dissectors and performed deep network analysis to reduce autonomous vehicle downtime from one week to two hours.

Extended automation coverage for multi-device video streaming platforms and optimized device provisioning and cluster testing workflows to improve reliability across diverse device configurations.

Directed QA for the RedLaser Android app (23M+ downloads), implemented hardware test harnesses and geo-aware barcode scanning frameworks to accelerate mobile regression testing and support next-gen commerce features.

Authored developer documentation for Intel HAXM and developed automated test suites for the Android emulator adopted by 1M+ developers, extending the CTS framework for hardware-accelerated testing.