Bigdata Intern Resume

PROFESSIONAL SUMMARY:

Software Engineer with good understanding and implementation skills of big data development and operations implementation end to end . Always eager to try, learn and implement new things. I believe in constantly upgrading my skills from the work performed by and around me. I am a people person and work best in a team environment and understand happy and organized team produce a successful product.

TECHNICAL EXPERIENCE:

Data Analytics using EMR: Shipping the server logs to aws S3 and using mapreduce program to parse it and hive to analyze the data with EMR.

Securing Hadoop Cluster: To avoid spoofing Integrating hadoop with MIT Kerberos and simulate production environment.

TECHNICAL SKILLS:

Expertise in HDFS,Yarn, Mapreduce, Hive, Spark, Sqoop and competent Knowledge in Oozie, Zookeeper, Kafka, HBASE, Kerberos, Ganglia, Nagios, Mysql, Oracle.
Experience working on Hortonworks and Cloudera distributions.
Hands on experience on Amazon Ec2, EMR, Open stack Cloud environments:
Scripting Languages: Python, Sql, Hql, Core Java, shell scripting .
Experienced and Competent in Linux and windows operating system.

PROFESSIONAL EXPERIENCE:

Bigdata Intern

Confidential

Implemented Poc for benchmarking Hadoop infrastructure in Bare - metal Vs AWS EC2.
Installed 5 node Hadoop cluster with Ambari 2.2 and HDP 2.4 in Bare-metal and AWS.
Tuned Hadoop cluster with Best practices at Linux and Hadoop level.
Benchmarking of cluster for Hdfs, Map-Reduce, Hive, Spark and kafka.
Troubleshooting failed benchmarking jobs.
Collected Metrics from both clusters for benchmark comparison.

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