Ms Viharika Bhimanapati

Viharika is a seasoned QA Engineer with over 10 years of experience in SDLC, specializing in media and telecommunications domains. She has extensive expertise in testing video streaming and live TV across various devices, including STBs and mobile platforms. Viharika is certified as an Agile SAFe Practitioner and proficient in Agile and Kanban methodologies. Her skill set includes automation tools like Selenium, Cypress, and Appium, as well as performance testing with JMeter and Blazemeter. She is experienced with AWS services, Hadoop ecosystems, and various monitoring tools. Viharika excels in both functional and performance testing, with a strong background in database operations and cloud technologies. Viharika is a highly skilled Sr. QA Engineer and Analyst with over 10 years of experience, specializing in software testing, automation, and performance engineering across diverse domains, including media, telecommunications, big data, and cloud computing. She possesses expertise in testing video streaming applications on multiple platforms, including STBs, mobile devices, and OTT services, leveraging tools like Selenium, Cypress, Appium, and JMeter for automation and performance testing. Certified as an Agile SAFe Practitioner, she has extensive experience in Agile and Kanban environments, conducting UAT, integration, functional, and compliance testing while working with large-scale data pipelines and cloud-based applications. She has a strong command of AWS services, including Lambda, EMR, S3, DynamoDB, and Kinesis, and has performed validations on streaming platforms like Roku TV and Netflix. She is proficient in scripting languages like Python, Perl, and Shell, and has extensive experience in database testing with SQL Server and Oracle. She has successfully contributed to large-scale projects such as migrating legacy video content processes to cloud platforms and testing dynamic ad insertions in live TV streaming. Her proficiency extends to performance testing using JMeter, BlazeMeter, and Gremlin, as well as server monitoring with AppDynamics, Splunk, and Azure App Insights. She has worked extensively with big data technologies such as Hadoop, Spark, Hive, Kafka, and Oozie, ensuring data integrity and scalability in cloud environments like AWS and Azure. Her work includes developing automation frameworks, conducting chaos testing, optimizing cloud deployments, and validating microservices using Kubernetes, Docker, and RESTful APIs. She has led the creation of test strategies, performance benchmarks, and CI/CD pipelines using Jenkins, Bitbucket, and Grafana. With a strong background in monitoring, logging, and infrastructure testing, she has successfully executed end-to-end performance, functional, and big data validations, demonstrating exceptional analytical and problem-solving skills. Her ability to manage large datasets, optimize system performance, and ensure seamless integration of applications makes her a valuable asset in software quality assurance, big data testing, and cloud-based deployments.

• AWS
• YARN
• HDFS
• Map Reduce
• DynamoDB
• Redshift
• AWS Neptune
• Jenkins
• SQL Server 2000 -DTS Packages
• SQL
• Python
• C#
• Java
• HTML
• Eclipse
• Selenium
• CloudWatch
• Waterfall
• Azure
• Hive
• HBase
• Chef
• Splunk
• S3
• Shell Scripting
• Kinesis
• Perl
• Apache Tomcat
• Kafka
• Shell
• JMeter
• Sqoop
• PERL
• Restful
• Pig
• cloud technologies
• Cypress
• Agile Scrum
• Mobile Web application
• Apache Flume
• Zookeeper
• Oozie
• Spark HBase
• HiveQL
• Gremlin
• IDE/GRID/RC
• SOAPUI
• Appium
• Open Stack
• Soap
• Web Logic Server
• AppDynamics
• Splunk
• New Relic
• Kibana
• CloudWatch
• Log stash
• AWS RDS
• Redshift
• Oracle MySQL
• HBase
• Couchbase
• DynamoDB
• Agile Scrum
• Kanban
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