This document contains the resume of Ravulapati Hareesh, who has over 4 years of experience in Hadoop administration, Linux/Unix administration, and business intelligence and big data analytics solutions. It provides details on his skills and experience in setting up and administering Hadoop clusters using distributions like Cloudera, Hortonworks, and MapR. It also lists his experience in administering tools like Spark, Splunk, Tableau, HP Autonomy IDOL, and IBM products. His work experience includes setting up Hadoop clusters for various clients and working as a senior solutions engineer at Tech Mahindra.

1. Tech Mahindra Limited Page 1
Ravulapati Hareesh E-mail: ravulapati.harish@gmail.com
Sr. Solution Engineer Mobile: +91-9963185500
RAVULAPATI HAREESH (Sr. Solution Engineer)
Professional Summary
 4+ years of experience in Hadoop, Linux/Unix Administration and Business Intelligence and Big Data &
Analytics solutions.
 Deep knowledge and related experience with Hadoop and its ecosystem components i.e. HDFS, MapReduce,
Hive, Pig, Sqoop, Oozie, HBase etc.
 Hadoop cluster setup, installation, capacity planning and administration experience of multi-node cluster
using Cloudera (CDH4.X & CDH5.X) and Hortonworks (HDP1.3 & HDP2.X) and MapR M5 distribution for
Apache Hadoop.
 Deep Knowledge in setting up Secured Hadoop Cluster by integrating Hadoop with LDAP/AD, Kerberos etc.,
 Experience in setup, Administration of CDH 5.X cluster with Spark services.
 Experience in setup and Administration of Splunk.
 Hands on experience of BI Analytics tools like Tableau
 Experience in setup and Administration of HP Autonomy IDOL.
 Experience in performance tuning and benchmark testing.
 Knowledge of IBM Info Sphere Streams and IBM Big Insights
Experience Details
Organization Designation Duration
Tech Mahindra (Erstwhile Mahindra Satyam) Sr. Solution Engineer June/2011—Present
Skills
PRIMARY SKILL CATEGORY Hadoop Administration, Hive, Pig, MapReduce, Sqoop, Oozie, Impala, Cloudera
Manager, Ambari, Splunk Administration, Spark Administration
SUB SKILLS Linux/Unix
SECONDARY SKILLS1 Ganglia, Nagios
PROJECT ACQUIRED SKILLS Hadoop Administration, Splunk Administration, Spark Administration
TRAINED SKILLS Hadoop, HP Autonomy IDOL, IBM InfoSphere Streams, IBM Big Insights
Work Experience Details
Hadoop Sr. Solution Engineer – Big Data Solutions COE (June 2012 – present)
 Working as Hadoop Sr. Solution Engineer where my responsibilities are
 Hadoop Cluster capacity planning and setup for COE
 Provide support to various projects in Hadoop cluster setup and performance tuning.
 Participate in requirement analysis, design and development of solution for the customer.
 Train resources on Hadoop Admin Track to make them project deployable.
 Implement the technology roadmap by helping clients to choose the right technology
framework, architecture patterns, tools, PDLC best practices, languages, and others
 Create proof-of-concepts, architecture and framework evaluation
 Undertake relationship management with vendors of new tools/utilities in BigData space,
which is not part of the immediate product roadmap.
 Implement Proof of concepts on Hadoop stack and different Big Data analytic tools
(i.e.Splunk, Tableau), migration from different databases (i.e. Teradata, Oracle, MS SQL) to
Hadoop.
 Provide consulting to customers in identifying Big Data use cases and successful
implementations.

2. Tech Mahindra Limited Page 2
Ravulapati Hareesh E-mail: ravulapati.harish@gmail.com
Sr. Solution Engineer Mobile: +91-9963185500
Project Details
1. Hadoop Cluster Setup on Amazon Web Services
 Setup, installation, configuration and Administration of 15-node CDH5.2 Hadoop cluster on Amazon Ec2
instances to implement a proof of concept using Spark for media and information firm
2. Tech Mahindra Big Data CoE cluster setup
 Setup, installation, configuration and Administration of 12-node CDH4.X & CDH5.X Hadoop cluster
 Setup, installation, configuration and Administration of 6-node HDP1.3 cluster, recently upgraded to HDP 2.0
3. Big Data Platform setup, Administration and Support
 21-nodes Production, 12-node Dev/QA Hortonworks Hadoop clusters set-up for US Telecom Major.
4. Big Data Platform setup, Administration and Support
 24-nodes Production, 16-node Dev/QA MapR M5 Hadoop clusters set-up for US Network Major.
5. Big Data Platform setup, Administration and Support
 44-nodes Production, 22-node Dev/QA CDH4.1.3 Hadoop clusters set-up for US Financial Major.
Training

Type Title Location Organized by Duration
Technical Education Hadoop Pune Cloudera 4 Days
Technical Education IBM InfoSphere Streams Bangalore IBM 4 Days
Technical Education IBM Big Insights Chennai IBM 4 Days
Technical Education HP Autonomy IDOL Bangalore HP 4 Days
Education
Degree Specialization University Year of passing
Graduation BTECH (CSE) J.N.T.U (Hyd) 2009
Passport & Visa Details
Passport No. J8348952 Valid Upto: 28th Sept 2021