Anand Peddakotla

Senior QA professional with 15+ years of experience leading quality assurance strategy, delivery, and transformation across enterprise systems, cloud platforms, and large-scale data engineering programs. Currently serving as QA Lead for a large-scale migration of enterprise data processing platforms from Apache NiFi to Azure Data Factory, Databricks, and Azure SQL. Responsible for overseeing quality across data ingestion, transformation, integration, reconciliation, performance validation, and production readiness activities.

Extensive experience across ETL testing, data validation, API testing, performance engineering, and test automation in Agile environments. Proven ability to partner with engineering, DevOps, and business stakeholders to deliver high-quality, production-ready systems. Recently expanded into AI-assisted quality engineering, leveraging GitHub Copilot to develop automation frameworks and intelligent testing solutions that improve regression coverage, automate data validation, and accelerate test design and reporting activities.

Lead QA Consultant at Manulife (2024-10 – Present)

Leading QA for a large-scale enterprise data migration program from Apache NiFi to Azure Data Factory, Databricks, and Azure SQL.

• Own end-to-end QA lifecycle, including test planning, execution, defect management, UAT support, and release sign-off.
• Define ETL validation strategies covering reconciliation, checksum validation, row-level comparisons, and source-to-target data integrity checks.
• Manage testing of complex data pipelines including ingestion, transformations, dependencies, scheduling, retries, and failure recovery scenarios.
• Maintain full traceability across requirements, test cases, executions, and defects using Jira and Xray.
• Provide QA dashboards and stakeholder reporting covering test coverage, execution progress, defect trends, risks, and release readiness.
• Perform Salesforce API testing using Bruno to validate integrations and data flow accuracy.
• Lead performance and volume testing of Azure pipelines and compare results against legacy NiFi systems for scalability validation.
• Collaborate with architects, DevOps, developers, and business stakeholders to manage risks and ensure successful production releases.
• Introduced AI-assisted QA practices using GitHub Copilot to accelerate automation development and testing workflows.
• Built a regression automation framework to validate critical ETL workflows and data transformations.
• Developed agent-style automation flows to generate test cases from Jira user stories and publish them directly into Jira/Xray.
• Built orchestration automation to trigger Azure Data Factory pipelines, monitor execution status, and initiate downstream validation workflows.
• Implemented automated data validation agents for schema validation, row-count reconciliation, and cross-table integrity checks across Azure SQL and Databricks datasets.
• Automated QA reporting workflows that generate execution summaries and publish results directly into Jira for visibility and audit purposes.

Senior QA Consultant at Munich Re (2024-07 – 2024-09)

• Led QA strategy and execution across enterprise initiatives, covering functional, performance, security, accessibility, and disaster recovery testing.
• Developed reusable test assets aligned with business requirements and solution architecture.
• Provided risk assessments, defect analysis, and release readiness recommendations to stakeholders.

Lead QA Engineer at MIR Digital Solutions (2024-02 – 2024-05)

• Designed automation frameworks for Microsoft Dynamics 365 using Java and Selenium.
• Increased automation coverage and reduced manual testing effort through reusable framework components.
• Managed test execution and defect tracking using Azure DevOps; supported sprint planning, defect triage, and UAT validation.

QA Lead at Cox Automotive & AutoTrader (2020-09 – 2023-11)

• Led QA delivery for Oracle upgrade and AWS migration programs across multiple teams and releases.
• Defined enterprise test strategies and coordinated execution across functional, regression, integration, and performance testing streams.
• Led performance testing initiatives using JMeter and BlazeMeter, identifying bottlenecks and improving application scalability.
• Built Selenium-based automation suites to improve regression efficiency and delivery confidence.
• Mentored QA team members, delivered training on performance testing and quality practices, and managed release readiness reporting.

Senior QA Analyst at Dealertrack Canada (2016-03 – 2020-08)

• Led end-to-end testing across enterprise applications in Agile environments.
• Built automation frameworks using Java, Selenium, Maven, and TestNG.
• Executed functional, integration, and regression testing across multiple releases; supported UAT cycles, defect management, and production validation.

Web QA Analyst at Equitable Life of Canada (2011-09 – 2016-03)

• Performed functional, integration, and regression testing for enterprise web applications.
• Created test plans and test cases aligned with business requirements; collaborated with developers, business analysts, and stakeholders to ensure quality delivery.

Software Test Specialist at BlackBerry (2010-06 – 2011-07)

• Executed manual and automated testing for enterprise software products, including functional, regression, integration, and performance testing.
• Supported defect tracking, quality metrics, and release quality assessments.

Performance Test Analyst at Accenture (2007-04 – 2010-05)

• Developed performance testing scripts using LoadRunner and JMeter.
• Analyzed system performance under load, identified bottlenecks, and supported tuning efforts to improve scalability and response times.

Post Graduate Diploma in Web Design – Georgian College

Bachelor in Information Technology – Indira Gandhi National Open University (IGNOU)