About Me
Senior QA Lead with 17+ years of overall experience, bridging 12 years in functional and API testing with a recent 5-year specialization in Data QA, ETL validation, Python-based automation, and BI testing on Snowflake an…
Senior QA Lead with 17+ years of overall experience, bridging 12 years in functional and API testing with a recent 5-year specialization in Data QA, ETL validation, Python-based automation, and BI testing on Snowflake and Azure platforms. Strong expertise in SQL-driven data reconciliation, end-to-end ETL pipeline validation, and Power BI report testing, ensuring high data accuracy across large-scale data warehouses. Experienced in backend validation and code-driven API testing using Python (Pytest, Requests), Postman, and SOAPUI, with a solid understanding of distributed systems. Proven ability to lead QA teams, drive defect governance, and ensure quality delivery across complex data-driven projects. Experience in validating large-scale data pipelines and ensuring data quality across distributed data systems.
Experience
Senior QA Lead - Data, BI & API Testing
<p>Drive QA planning, estimation, defect governance, and Root Cause Analysis (RCA) for production issues.</p><p> Coordinate with developers, product owners, and stakeholders to ensure release readiness and alignment with business requirements.</p><p> Led QA activities encompassing Snowflake, Azure Data Factory, Power BI, and API services, ensuring comprehensive test coverage and adherence to stringent quality standards.</p><p> Engineered code-driven API and ETL automation frameworks using Python, Pytest, and the Requests library, incorporating Pandas and PySpark DataFrames for end-to-end data reconciliation against backend SQL databases.</p><p> Led and mentored a team of 6 QA engineers, performing test case reviews, sprint planning, and QA task allocation.</p><p> Performed end-to-end data reconciliation across source, staging, and reporting layers ensuring 100% data accuracy.</p><p> Designed and executed SQL queries for data reconciliation, transformation validation, and large-scale dataset verification across Snowflake environments.</p><p> Introduced AI-assisted approaches using GitHub Copilot and LLM tools to enhance SQL query development, test design, and defect analysis efficiency.</p><p> Verified environment setup, software versions, and database connectivity to ensure systems were installed and configured according to requirements.</p><p> Validated data across multi-layer architecture including landing, transformation (Silver), and reporting (Gold) layers.</p><p> Validated incremental and full-load ETL data ensuring accuracy across daily data refresh cycles.</p><p> Contributed to faster delivery cycles, resulting in timely product releases and increased customer satisfaction.</p><p> Improved data accuracy by implementing structured reconciliation across ETL pipelines.</p><p> Improved test coverage and efficiency through strategic test planning and resource allocation.</p><p> Delivered QA for 50+ Power BI dashboards ensuring accurate KPIs and reporting.</p><p> Reduced regression effort through optimized test planning and execution.</p><p> Successfully led and mentored a team of QA engineers across multiple projects, fostering a culture of excellence and collaboration.</p>
Senior QA Engineer - II
<p>Responsible for overseeing and executing all aspects of quality assurance within the Software Development Lifecycle from requirement gathering and validation, execution and deployment, UAT and project support.</p><p> Led functional, regression, integration, and API testing across enterprise applications.</p><p> Developed and executed API test cases to validate service endpoints, request parameters, response structures, and data consistency across systems.</p><p> Managed and mentored 4 QA engineers and supervised regression cycles.</p><p> Automated regression suites using Qualitia (Selenium-based automation tool).</p><p> Performed performance testing using JMeter and WAPT.</p><p> Conducted defect triage meetings with business analysts, developers, and project managers.</p><p> Used JIRA and Zephyr for test case design, execution tracking, defect management, and maintaining end-to-end traceability.</p><p> Ensured on-time and high-quality releases by owning end-to-end QA deliverables.</p><p> Improved release timelines by optimizing QA planning and regression execution processes.</p>
QA Engineer
<p>Executed manual and automated testing (Selenium RC/IDE, Perl) for web and enterprise applications, including a large-scale hardware/software Mine Logistics Solution.</p><p> Conducted comprehensive functional, UI, performance, and on-site field testing, managing end-to-end defect lifecycles via Mantis Bug Tracker.</p>