Mohammed Salman
Software Associate | Hadoop Administrator Jetto Technologies.
- Role
- Big Data Hadoop Administrator Kafka Admin Cloud at Jetto Technologies And Consultancies
- Location
- Aurangabad, MH, IN
- LinkedIn followers
- 500 followers
About Mohammed Salman
Professionally experienced Hadoop Administrator with 5+ years of experience. Wishing to…
Experience
Big Data Hadoop Administrator Kafka Admin Cloud
Jetto Technologies And Consultancies
Aug 2023 — Present · Pune, IN
Deployed and managed 50+ Hadoop clusters in production environments using Cloudera (CDH, CDP) and Apache Hadoop- Expertise in HDFS, MapReduce, YARN, cluster provisioning, and architecture design- Optimized cluster performance, achieving 20-30% improvement in job execution times- Designed and deployed high-throughput Kafka clusters in Cloudera Enterprise- Optimized Kafka configurations to handle millions of events per second- Implemented high availability (HA) and fault-tolerant Kafka solutions in production- Provisioned Enterprise Hadoop clusters in AWS using Cloudera Director and Amazon EMR- Experience with AWS services: S3, EC2, VPC, IAM, CloudWatch, CloudFormation- Automated cluster creation using AWS CLI, reducing deployment time by 40%- Implemented Kerberos authentication, ACLs, POSIX permissions, and Sentry for Hadoop security- Secured Hadoop clusters with TLS encryption, Ranger policies, and IAM role-based access control- Configured Cloudera Manager for cluster orchestration and monitoring- Performed resource tuning, garbage collection optimization, and log analysis, improving cluster efficiency by 30%- Built scalable Data Warehouses using Hive, with remote metastore configurations- Migrated terabytes of structured & semi-structured data from traditional databases to Hadoop- Automated ETL pipelines using Sqoop, and Spark, reducing data ingestion latency by 50%- Designed and implemented multi-region backup & disaster recovery (DR) strategies for Hadoop- Set up replication across multiple data centers, ensuring 99.99% uptime for critical workloads- Implemented rolling upgrades and service failovers with zero downtime.
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