RAMYA SUGUMARAN

• Onsite QA Lead accountable for successful System Integration Testing (SIT) phase of Global MicroStrategy BI Dashboards in Google Cloud Platform with ~ 100 KPIs across 20 country subsidiaries, in Hybrid Agile Kanban methodology.
• Onsite QA Lead responsible for Test Planning, Test Strategy Preparation, managing Stakeholder Feedback cycle, finalizing Test Solution Design.
• I am responsible for SIT Phase Technical Gap Assessment, Business Requirement Gap Assessment.
• I have led effective Test estimation, managed SIT schedule and Resources, and taken technical ownership of the QA environment.
• Managed team conducting 50 system integration tests (consisting of Semantic validation, ETL Validation and BI Report validation) with a budget of 1 million Euros.
• End-to-end UAT lifecycle on JIRA dashboard, collaborating with Change management and Vendor management teams.
• Evaluate Performance/UAT Test Report to establish decisive metrics for Product Go Live.
• Collaboration with UAT Stakeholders, RAID management, Governance Board alignment, defining additional scope, adherence to Program Plan and contingency recovery during SIT Phase.
• Streamlined defect management process, reducing resolution time by 20% and saving 25000 Euros.
• Achieved 95% reduction in post-release bugs by implementing comprehensive QA strategy.
• Increased test coverage by 40% by adopting advanced QA methodologies and RPA Automation.

• Skillfully performed both manual and automated testing, leading a team of 5 QA engineers, for Cognos to Power BI Data and Application Migration, leading to the detection and resolution of 100= software glitches.
• Devised a comprehensive test plan and established a testing methodology, which was later adopted as the department’s best practice.
• Built BDD Cucumber framework using Rest Assured for automated API validations, leading to 75% cost savings.

• Lead Quality Assurance team
• The Indigo Taxonomy Hierarchy Cloud Migration Project aims to address the hierarchy of taxonomy-level data for a specific item across various Lines of Business (LoB) to surmount the challenges of resolving identities both across and within LoB systems.
• MDM River sand data serves as the input for streaming data to Azure Event Hub, which is then further processed through Azure Service Bus in the form of queues or topics. The operations of Create, Update, and Delete are monitored as a taxonomy hierarchy, and the logic is executed through Azure Functions.
• A critical team player in test automation through Azure Data Factory pipelines and Databricks notebooks.
• Contributed to the design and implementation of efficient QA processes via TOSCA Data Integrity Tool, which led to a 30% increase in testing speed.
• Ensured the delivery of a defect-free product by identifying and rectifying over 50 critical bugs.
• Managed test lifecycle through JIRA Zephyr tracking.

Part of QA Team

• The BCACA (Business Cloud Automation in Customer Analytics) project involves conducting QA via Scala, Python, and Azure SQL workflows within Azure Databricks, handling various file formats such as parquet, JSON, and both compressed and uncompressed CSV files.
• Participate in End-to-end ETL testing is conducted across the Raw, Semi- prepared, and Published zones of Data Lake.
• Played pivotal role in implementation of C# test automation script, integrating USQL validation in ADLS, with test results being uploaded to Test Rail.
• The Infosys intellectual property tool, Infosys Data Testing Workbench, was enabled for Azure cloud as proof of concept and utilized for Test Automation, resulting in 80% automation and 75% cost savings.

Part of Quality Assurance team

• The project scope included the implementation of a test automation framework for ETL test scripts, utilizing Infosys Data Testing Workbench through REST API calls, and integrating Java code to upload results to TestRail.
  • The automation framework has been implemented via CI/CD and Jenkins to facilitate extensibility within the DevOps framework.
  • The project's scope encompassed the design and implementation of Test Data Management, PII Data masking, and Data generation in accordance with client requirements using the Infosys Enterprise Data Privacy Suite (IEDPS) UI to cater to diverse user stories.
  • I have experience in implementing a test set larger than 5 GB through the IEDPS-HDFS Data generation module within a Kubernetes cluster. This was executed as a single event file or multiple event files across BDA nodes using a MapReduce program as a proof of concept.
  • Designing and implementing Test Data Management, PII Data masking, and Data generation according to client requirements using the Infosys Enterprise Data Privacy Suite UI for various user stories.