Rafe Khan Email and Phone Number

Hands-on experience in administering Cloudera clusters.• Roles and responsibilities involved working with AWS services like EC2, VPC, S3, IAM, CloudWatch, AMI and EMR.• Contributed to cluster services layout, cluster planning, capacity planning. • Deployed Linux servers and performed kernel tuning on them.• Daily worked for Monitoring, diagnosing, interpreting a log file & troubleshooting Hadoop ecosystem runtime issues.• Imported and exported data from HDFS to S3 and vice versa.• Configured HA environment for Name Node and Resource Manager, Flume, Hive in production environment.• Setting Quota to user on HDFS and Hadoop cluster Benchmarking.• Commissioning and Decommissioning of nodes on zero down time. • Experienced in installing, configuring, maintaining, and monitoring Hadoop ecosystem components like HDFS, YARN, Mapreduce, Sqoop, Flume, Zookeeper, Spark, Kafka, Hive, Hue, Oozie and Sentry.• Configured Snapshot policies for the data in HDFS and created snapshots of nodes.• Configured trash policies.• Configured and managed the Backup and Disaster Recovery for Hadoop in production. • Followed Best Practice for Hadoop cluster.• Followed ITIL procedures for incidents, Workflow, Issues.• Assisted in successfully Upgrading CM, CDH, and JDK versions of the cluster.• Satisfying client's requirements with cluster capacity and performance tuning. • Surveilling of production clusters on Cloudera Manager.• Implemented MIT Kerberos for Authentication.• Providing Authorization to users and group by using POSIX style permission, extended ACL and Sentry.• Created Encrypted zone for providing additional security to crucial data.• Worked on Streaming data using Flume and Kafka from different sources.• Expertise in creating Real-Time Data Integration Pipelines using Streamsets Data Collector.• Experienced in importing and exporting data using Sqoop from HDFS/HIVE to RDBMS.• Configured Kafka using Streamsets.

• Hands-on experience in administering Cloudera clusters.• Roles and responsibilities involved working with AWS services like EC2, VPC, S3, IAM, CloudWatch, AMI and EMR.• Contributed to cluster services layout, cluster planning, capacity planning. • Deployed Linux servers and performed kernel tuning on them.• Daily worked for Monitoring, diagnosing, interpreting a log file & troubleshooting Hadoop ecosystem runtime issues.• Imported and exported data from HDFS to S3 and vice versa.• Configured HA environment for Name Node and Resource Manager, Flume, Hive in production environment.• Setting Quota to user on HDFS and Hadoop cluster Benchmarking.• Commissioning and Decommissioning of nodes on zero down time. • Experienced in installing, configuring, maintaining, and monitoring Hadoop ecosystem components like HDFS, YARN, Mapreduce, Sqoop, Flume, Zookeeper, Spark, Kafka, Hive, Hue, Oozie and Sentry.• Configured Snapshot policies for the data in HDFS and created snapshots of nodes.• Configured trash policies.• Configured and managed the Backup and Disaster Recovery for Hadoop in production. • Followed Best Practice for Hadoop cluster.• Followed ITIL procedures for incidents, Workflow, Issues.• Assisted in successfully Upgrading CM, CDH, and JDK versions of the cluster.• Satisfying client's requirements with cluster capacity and performance tuning. • Surveilling of production clusters on Cloudera Manager.• Implemented MIT Kerberos for Authentication.• Providing Authorization to users and group by using POSIX style permission, extended ACL and Sentry.• Created Encrypted zone for providing additional security to crucial data.• Worked on Streaming data using Flume and Kafka from different sources.• Expertise in creating Real-Time Data Integration Pipelines using Streamsets Data Collector.• Experienced in importing and exporting data using Sqoop from HDFS/HIVE to RDBMS.• Configured Kafka using Streamsets.