About Aniket Gulghane:
Currently Managing Confluent Kafka Production Clusters on AWS Data Center.
Experience in Deploying Confluent Kafka Cluster.
Extensively using Control Center for managing PROD, UAT, DEV Enterprise Confluent Kafka clusters with petabytes of data.
Working on Production Confluent Kafka Multimode cluster.
Building the new cluster as per the client requirements.
Doing Daily activity like Create, describe, list, Alter Kafka topics, and Grating ACL on topics level and Cluster level.
Working on Kafka Connectors Production Issues.
Broker management in Kafka Cluster.
Working on ISR policy in Kafka Cluster.
Working on Zookeeper Cluster deployment on PROD for Kafka Cluster.
Working on Consumer rebalancing in Kafka Cluster.
Working on Schema registry in Confluent.
Working on Reassignment of Partitions of PROD Cluster.
Knowledge of Kafka Connect, Kafka Strems, KSQL.
Knowledge of Kafka Security like Kerberos.
Working on Producer and Consumer Management in Kafka Cluster.
Working on Partition Management in Kafka Cluster
Experienced in Dealing with Confluent support team, bug reporting, resolving configuration and other Kafka related issues.
Experience in understanding and managing Kafka Log Files.
Working on setting up Kafka security, data encryption, and authorization using Kerberos and ACL respectively.
Managed AWS load balancers, VPC in a production environment.
Working on GitHub as Admin on Production.
Performed POC on KAFKA and visualized it on Grafana.
Worked on setting up a cloud environment and supported Amazon AWS services like EC2, S3, VPC, Autoscaling Load Balancing, IAM Policy, Data ingestion.
Monitoring cloudera services like SMM, SRM, HDFS, Sentry, Ranger.
Working on WebMethod Ecosystem.
Deploying packages on Webmethod servers (Deployer & Inbound Method).
Experience
Currently Managing Confluent Kafka Production Clusters on AWS Data Center.
Experience in Deploying Confluent Kafka Cluster.
Extensively using Control Center for managing PROD, UAT, DEV Enterprise Confluent Kafka clusters with petabytes of data.
Working on Production Confluent Kafka Multimode cluster.
Building the new cluster as per the client requirements.
Doing Daily activity like Create, describe, list, Alter Kafka topics, and Grating ACL on topics level and Cluster level.
Working on Kafka Connectors Production Issues.
Broker management in Kafka Cluster.
Working on ISR policy in Kafka Cluster.
Working on Zookeeper Cluster deployment on PROD for Kafka Cluster.
Working on Consumer rebalancing in Kafka Cluster.
Working on Schema registry in Confluent.
Working on Reassignment of Partitions of PROD Cluster.
Knowledge of Kafka Connect, Kafka Strems, KSQL.
Knowledge of Kafka Security like Kerberos.
Working on Producer and Consumer Management in Kafka Cluster.
Working on Partition Management in Kafka Cluster
Experienced in Dealing with Confluent support team, bug reporting, resolving configuration and other Kafka related issues.
Experience in understanding and managing Kafka Log Files.
Working on setting up Kafka security, data encryption, and authorization using Kerberos and ACL respectively.
Managed AWS load balancers, VPC in a production environment.
Working on GitHub as Admin on Production.
Performed POC on KAFKA and visualized it on Grafana.
Worked on setting up a cloud environment and supported Amazon AWS services like EC2, S3, VPC, Autoscaling Load Balancing, IAM Policy, Data ingestion.
Monitoring cloudera services like SMM, SRM, HDFS, Sentry, Ranger.
Working on WebMethod Ecosystem.
Deploying packages on Webmethod servers (Deployer & Inbound Method).
Education
Bachelor of Engineering
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