Nensi Jain

Background

About Nensi Jain

Automation Test Engineer having 6 years of experience in Automation and Manual Testing Selenium, HP Quality Center/ALM, Postman, SOAP UI, HP UFT/QTP, Putty, JIRA, Kibana, Kubernetes, Splunk, Kafka, Kafdrop, Camunda, CWTT, AWS, JAVA, HTML, XML, VBScripting, IMS Online, CSS, JavaScript, SQL, OrientDB, Oracle, Couchbase, Cassandra, PostgresSDLC & STLC Methodologies: Agile, Waterfall | Operating Systems: Windows, Linux, Mac | Manual Testing: Smoke, Functional, Regression, Defect Tracking, Reporting & Logging, Defect Triaging| Test Management: Planning, Controlling, Tracking, Monitoring Project Cycle | Automation Testing: Script Creation & Maintenance| API Testing: Testing of SOAP APIs- Designed and executed comprehensive data migration test strategies to validate accuracy, completeness, and integrity of migrated data- Conducted pre- and post-migration data validation between source and target systems to ensure consistency and adherence to business rules- Developed scripts for data reconciliation using SQL to compare large datasets across environments.Wrote complex SQL queries to validate data accuracy across relational tables during system cutover.Collaborated with business analysts and SMEs to define data quality checkpoints and acceptance criteria- Performed data profiling and cleansing validation to ensure source data met migration prerequisites.Led end-to-end testing for ETL processes, validating data extraction, transformation logic, and successful load to target systems- Coordinated with developers and DBAs to resolve data anomalies, transformation errors, and mapping discrepancies- Utilized tools like SQL, Excel for test data preparation, validation, and issue tracking- Created and maintained test scenarios, test cases, and traceability matrices for migration requirements- Ensured referential integrity, duplicate handling, null field validations, and boundary value testing of migrated datasets- Conducted API testing using Postman. Analyzed logs from Kubernetes, Kibana, Splunk, MobaXterm. Validated async flows using Kafka, Kafdrop. Validated data against SQL DB, Cassandra DB and postgres DB- Implemented automation and dashboard solutions to improve incident tooling and user communications, resulting in increased reliability and efficiency of incident response processes- Led cross-functional teams in incident resolution and root cause analysis, ensuring timely response and minimal customer impact- Execute sanity test flows in different NPE environment.