Rama Ghajbe

About Rama Ghajbe

I have 6+ years of exp in Confluent Kafka platform Administration and work as Middleware Administrator( Hadoop, Apache Kafka, Active MQ.AWS MSK, Azure event hub, event grid & azure service bus, Cloudera Kafka)8+ years of Experienced in Kafka Administrator with a proven track record in designing, configuring, and managing Kafka clusters for real-time data processing 7 done set up in production, UAT, SIT & Devenvironment on on-premises as well as different cloud vendor.Working with Healthcare, Telecom, Banking, Insurance, E-commerce client as a Kafka AdministratorTechnical Skills:Apache Kafka Installation, Configuration, and AdministrationKafka Cluster Monitoring and Performance TuningZooKeeper Coordination Service & Working on Schema registry in Confluent.Integration with Big Data Technologies (Hadoop, Spark)Successfully implemented and managed multi-node Kafka clusters for high availability and fault tolerance.Established monitoring and alerting systems for Kafka clusters using tools such as Prometheus and Grafana.Implemented SSL/TLS for secure communication within Kafka clusters.Configured SASL for authentication and authorization.Implemented role-based access controls to restrict access to Kafka topics.Implemented Kafka Connect to integrate Kafka with external systems and databases.Implemented backup and recovery strategies to ensure data integrity and availability.Conducted regular disaster recovery drills to validate the effectiveness of backup processes.Collaborated with cross-functional teams, including developers, data engineers, and system administrators.Communicated effectively with stakeholders to gather requirements and provide updates on Kafka cluster performance.Designed and implemented scalable and fault-tolerant Big Data infrastructure using technologies such as Apache Hadoop, Apache Spark, and other distributed computing frameworks.Administered and optimized Apache Hadoop clusters, ensuring high availability and reliability.Implemented resource management and scheduling strategies using tools like Apache YARN.Conducted performance analysis and tuned applications, ensuring scalability, high availability, and fault tolerance.Implemented best practices for cluster setup, including node configuration, networking, and security considerations.Orchestrated containerized applications using Kubernetes to automate deployment, scaling, and management.

Experience

1. Senior Platform Data Engineer

   Cognizant

   Jun 2021 — Present · Bengaluru, IN

   Currently Working as Kafka Administrator with Banking Client as a Team Leader.Experience in Deploying Confluent Kafka Cluster in production, UAT, SIT & Devenvironment.Working on confluent Kafka multinode production environment AWS cloud platformas well as on-premises.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 Streams, KSQL.Knowledge of Kafka Security like Kerberos.Working on Producer and Consumer Management in Kafka Cluster.Working on Partition Management in Kafka ClusterExperienced in Dealing with Confluent support team, bug reporting, resolvingconfiguration and other Kafkarelated issues.Experience and understanding and managing Kafka Log Files.Working on setting up Kafka security, data encryption, and authorization usingKerberos and ACL respectively.Developed CI/CD pipelines for automated testing, building, and deploying containerized applications to Kubernetes clusters.Managed application updates and rollbacks, ensuring minimal downtime and seamless updates.Designed, deployed, and managed Kubernetes clusters for containerized applications, ensuring scalability, high availability, and fault tolerance.Implemented best practices for cluster setup, including node configuration, networking, and security considerations.Orchestrated containerized applications using Kubernetes to automate deployment, scaling, and management.Implemented and optimized Kubernetes manifests (YAML) for defining and deploying application resources.

Education

• Savitribai Phule Pune University

  Bachelor of Engineering - BE

  2010 — 2014