 Support our Kubernetes based projects to resolve critical and complex technical issues Used Kubernetes to orchestrate the deployment, scaling and management of Docker Containers. Managing the EKS cluster through Rancher Good knowledge of Deployment, ReplicaSet, DaemonSet, Statefulsets, Jobs. Experience in troubleshooting the issues generated while build and deployments. Created multiple terraform modules to manages configurations, applications, services and automate installation process for webserver and AWS instances Good Understanding and working experience of Jenkins (CICD) Good understanding of source control management and practices using Git, and Github Experience working on Linux based infrastructure Hands on experience on Splunk for Infrastructure logging & Dashboard Setup Hands on experience in monitoring and alerting tools like Prometheus, Grafana. Set up and maintained Logging and Monitoring subsystems using tools like: Prometheus, Grafana & CloudWatch. Good Knowledge on AWS and its services like AWS IAM, VPC, EC2, EBS, S3, ELB, Auto Scaling, Cloud Watch, and SNS Worked on capacity planning for cost reduction for EMR & EKS Clusters Documenting all production scenarios, issues and resolutions. Strong knowledge about Incident management like- Change request, Problem ticket, Service task etc. Implementing change requests in Production cluster. Plan and schedule Changes, Coordinating with different stakeholders.  Perform ICA & RCA for Major Incidents  Prepare Weekly and monthly & quarterly status reports and present to Client. Deeply engage with our stakeholders to understand their architecture and operations, and work to continuously improve their overall Kubernetes support experience.

 Involve in Cluster maintenance, trouble shooting, Monitoring and followed proper backup & Recovery strategies Installing, Upgrading and Managing Hadoop Cluster on Cloudera Commissioning & Decommissioning nodes through Cloudera manager Good hands on about cluster upgradation from HDI 3.6 to HDI 4.0 Setting-up and managing Hadoop cluster from scratch on Azure using HDInsight service. Created user accounts and given users the access to the Hadoop cluster using Ambari Worked on capacity Planning for cost reduction. Hands on experience in analyzing Log files for Hadoop and eco system services and finding root cause Interacting with Internal Customers and end users via JIRA and Service Now With the help of senior hadoop administrators ensure resolution of tickets within defined SLA Documenting all production scenarios, issues and resolutions.

 Configuring and managing 800+ nodes cluster with cloudera distribution. Hadoop Cluster capacity planning, performance tuning, cluster Monitoring, Troubleshooting Working with cloudera in case of major issues. Implementing change requests in Production cluster. Commissioning and Decommissioning nodes as required.  Monitoring/Controlling the cluster via Cloudera Manager Interacting with Internal Customers and end users via JIRA/Viper and Ask Now Managing Hadoop log files and log cases with cloudera manager. working knowledge about Kerberos in Hadoop cluster  Familiar with linux commands for troubleshooting Part of RTB (Run the business) team Working knowledge about Cloudera Manager migration Migrating Namenode from one server to another  Collaborating with application teams to install Hadoop updates, patches, version upgrade when required Disk space management, Database backup and recovery.

Experienced in Hadoop cluster configuration & deployment to integrate with systems hardware in the data center in house or in the AWS Cloud.Experienced in installing apache Hadoop and implementing sub Hadoop projects.Expertise in Hadoop Framework and Big Data concepts. Supported team in creation of POC for Hadoop Deployment decisions.An understanding of all the Hadoop daemons along with their roles and responsibilities in the cluster. Designing and deploying scalable, highly available (HA), and fault tolerant systems on AWS Job Submissions on AWS EMR and Data Loads on S3.Installing various components of Apache Hadoop eco-systems like hadoop core, pig, hive, sqoop, flume. Strong knowledge and experience with a range of big data components such as HDFS, Map Reduce, Sqoop, Flume, Hbase, Pig and Hive.Commissioning and decommissioning of node, capacity planning, Performance tuning, Cluster monitoring, data integration.Recovery from node failures and Troubleshooting common hadoop cluster issues. Importing Data From RDBMS to HDFS and Exporting Data from HDFS to RDBMS using SQOOP. Working knowledge of Cloudera Manager & AmberiIdentify how to view and manage Hadoop's log files Understand Hadoop main components and Architecture. User Management in Cloudera Manager and Hue server.Hadoop cluster benchmarking report generation.Alert configuration in Cloudera Manager.Knowledge of Linux, and basic of shell scripting.