arun sirimalla

About

Technical expertise in Bigdata/AWS/Security assessment of current architecture and cluster setup. Bigdata/AWS DevOps Engineer offering over half a dozen years of Hadoop/Cassandra and 5+ years of AWS hands-on experience solving complex problems with creative solutions, supporting development and operations environments from young startups to large enterprises. Specialties: Hadoop, Cassandra, HBase, AWS, CyberSecurity, Blockchain, Data science, Microsoft Azure, Linux, Python, Tableau, Puppet, Terraform, Docker, Kubernetes, Kafka,Ansible

Country

united states

City

portland

Industry

information technology and services

Skill

distributed systems, splunk, git, amazon web services, linux, nagios, data science, apache pig, cfengine, mongodb, perl, gnuplot, microsoft azure, oozie, cassandra, cluster, jenkins, hbase, internet of things, amazon ec2, tableau, hadoop, windows azure, nosql, flume, apache spark, cyber security, big data, zookeeper, network administration, unix shell scripting, puppet, hive, chef, scalability, wordpress, joomla, python, solr, mysql, ganglia, mapreduce, shell scripting, drbd

Experience

system administrator

jb micro

2008-1 - 2010-7 · 2 yrs 7 mos

senior bigdata and aws devops engineer

nike

Sr. Bigdata/AWS DevOps Engineer at Nike

principal consultant and director of big data

cloudwick

2014-2 - 2014-7 · 6 mos

hadoop system architect

cloudwick

2010-7 - 2011-4 · 10 mos

hadoop and hbase administrator

choochee

2011-9 - 2012-9 · 1 yr 1 mo

hadoop system architect

ngmoco

2011-4 - 2011-7 · 4 mos

organizer

hyderabad hadoop user group

2012-1 - Present · 14 yrs 9 mos

Cloudwick Hyderabad Hadoop User Group #1 In India http://www.prweb.com/releases/2014/01/prweb11485344.htm

hadoop engineer

netapp

2012-10 - 2014-2 · 1 yr 5 mos

* Moving an Elephant - Large Scale Data migration from one Data center to another * Built 2 PB Hadoop/HBase cluster * Managed multi Petabyte Production Clusters * Managed multiple Cassandra/Solr Clusters

hadoop and cassandra instructor

cloudwick

2011-9 - Present · 15 yrs 1 mo

After having completed more than 100,000 hours of Big Data production cluster development for leading enterprises like Bank of America, Visa, JP Morgan, Home Depot, Warner Music Group, NetApp, Walmart and Radium One we realized the need for a benchmark and certification lab that is dedicated to working collaboratively with the Big Data community (enterprise, consultants and vendors) to research, test and share Big Data best practices. Become a Cloudwick Labs member and join the leading enterprise Big Data community. Together we can accelerate Big Data.

champion of big data

cloudera

2013-11 - Present · 12 yrs 11 mos

Cloudera delivers the modern platform for data management and analytics. We provide the world's fastest, easiest and most secure data platform built on Apache Hadoop. Cloudera gives you access to all your data in a single platform to optimize your business and delight your customers. With Cloudera you can efficiently capture, store, process and analyze vast amounts of data in order to solve your most challenging business problems quickly, securely and at lower cost. The world's leading organizations trust Cloudera to help them improve experiences, improve businesses, improve lives, and advance human achievement. When you ask bigger questions, you get bigger answers. And that makes anything possible.

senior cassandra and hadoop and aws devops engineer

nike

2014-7 - Present · 12 yrs 3 mos

* Cassandra Performance Tuning on AWS * Manage and operate 10+ cassandra clusters * Deploy and Manage clusters using Priam * Manage AWS using Asgard * Log management using Splunk * Monitoring using Opscenter, Pagerduty * Hadoop * Large scale data migration in Cloud (AWS) * Manage multiple clusters using Cloudera Manager * Manage and Operate Peta Byte Cluster * Automate installation of Hadoop on AWS using Cloudera Director * Performance tuning of HDFS, YARN and Impala * Migrate data from On premise to AWS * Automated Backups to S3 * AWS * Python Automation using EC2 boto * EC2, EMR * VPC peering * S3 * Active directory Service * RDS * Cloud Watch * Automation using Cloud formation * Manage Users and Groups using IAM