Tejasree T L

Experienced professional with a strong interest in long-term opportunities involving the development and implementation of quality assurance and quality control methodologies to ensure compliance with QA standards and customer specifications. Skilled in automated solutions for day-to-day activities and testing. Over 7 years of working experience with expertise in Manual and Automation testing using Python, Oracle DBA, and implementing automated solutions for activities on DB, OBIEE, and SOA. Solid background in UI testing, including unit testing, functional testing, integration testing, regression testing, and DB testing. Proficient in automating UI testing using Selenium Webdriver module with Python Pytest and Robot Framework. Also experienced in SOAP API testing using SOAPUI and REST API testing automation using the Requests module in Python for performing CRUD operations. Familiar with Thunder client and PostMan for REST API automation. Hands-on experience with Linux, including setting up cronjobs for backups and sending notifications for certificates approaching expiry. Successfully implemented patching solutions for various components like Oracle Database, LSH, Weblogic, and OBIEE using Shell Scripting and Python. Technical expertise extends to cloud technologies such as Amazon Web Services (AWS) and Oracle Cloud Infrastructure VPC, EC2, S3, IAM, RDS, Route 53, Cloud Watch, Athena, and Kibana. Utilized Cloud Watch to monitor resources like EC2 instances, CPU memory usage, Amazon RDS DB services, DynamoDB tables, and EBS volumes to set alarms for notifications or automated actions. Used Cloud Watch to monitor logs for better understanding of system operation. Proficient in using Athena to fetch details from esme_glue logs and verifying logs from Kibana by filtering using collections. Hands-on experience with Jenkins for continuous integration (CI) tasks such as job creation, triggering, and status verification. Skilled in building and maintaining Docker container clusters managed by Kubernetes on AWS. In the Kubernetes environment, hands-on experience with various pod-related activities.