Prashant Singh Email & Phone Number

Gurugram, Haryana, India

Noida, Uttar Pradesh, India

Noida, Uttar Pradesh, India

Noida Area, India

Gurgaon

I am responsible for QA activities including Automation in Python as well as Deploying Application on Docker containers on Google Cloud

Gurgaon

Guavus Inc, Gurgaon QA Lead Mar 2013 – Jan 2016Roles & ResponsibilitiesResponsible for many aspects of Guavus products and solutions, including end-to-end testing and Deployment of complete solution, Functional and performance test coverage starting right from test case design, distribution and overseeing the work of the team(5 members) and execution, regression testing and delivering a high quality product. Converting SRS and FS into TDD and eventually into test planReview of Test Plan and Test coverage by team membersCreating process and feature related documents on confluenceFunctional, Regression, Performance, scalability testing etcTraining the members of team and apprising them of current technologiesWork assignment and ensuring timely delivery of components and solutionAutomation of various test cases using Python, Awk and shell scriptingWriting Tools and Scripts for data generation and other activities to boost productivityCreating test report using Testlink and share it with Customer and senior managementOwnership of diagnostic and debugging responsibilities for production level issues and customer escalations.

Gurgaon, India

Design, Capacity Planning, Testing, Deployment, Delivery Support including troubleshooting Software/Platform issues in Production.Expertise in performance tuning(hadoop1.0,Yarn,Hbase,Hive), benchmarking, storage capacity management,change control, problem management.Experience in Designing, Installing, Configuring and administrating HadoopCluster along with port configuration.Hands on experience with the Hadoop stack.Hands on experience in upgrading Hadoop 1.0 to Hadoop 2.0.Configure name-node high availability.Configuring, scheduling, running and troubleshooting Map Reduce Jobs.Checking Hadoop Status, Copying Data between Clusters, Adding and RemovingCluster Nodes, Rebalancing the Cluster, monitor critical parts of the cluster.Solid understanding of HDFS Features, Writing and Reading Files, Name NodeMemory Considerations, MapReduce tuning, Cluster Architecture, ResourceAllocation, Failure Recovery.Creating and mounting storage LUNs as Hadoop data directory on Data Nodes including troubleshooting.Monitor, debug and Troubleshoot Hadoop eco system runtime issues. Recovering from node failures and troubleshooting common Hadoop cluster issues.Evaluation of Hadoop infrastructure requirements, hardware, planning, estimating cluster capacity, and creating plans for Hadoop cluster deploymentDiligently working with other stakeholders to guarantee high quality delivery and smooth deployment. Automations of daily tasks using python scripting.Work closely with cross-functional teams to understand the product and technical roadmap and manage impact to the operability of systems as well as communicating with customers and providing timely resolution of issues.