Nagarjuna Damarla is seeking a position that allows him to contribute fully and continue learning. He has 4 years of experience in big data tools like Spark, AWS, HDFS and reporting tools. His current role involves developing Spark jobs to migrate templates from one platform to another at Cambia Health. Previously he worked on data analysis projects involving Hadoop, Hive, Pig and SQL at Capital One and Great Eastern Life Insurance.

1. Nagarjuna Damarla Email:-nagarjuna.bca@gmail.com
Mobile No: +91-9941618664
OBJECTIVE
I look forward to associate myself with an organization, where I can contribute the best
of my abilities towards the growth of the organization and also which gives an
opportunity to share and upgrade my knowledge by taking a challenging position.
PROFESSIONAL SUMMARY
 Having around 4 Years of IT Experience in BigData Processing tools SPARK, AWS
cloud, HDFS, Map Reduce, HiveQL, Pig, HBase, SQOOP, FLUME and BI
reporting tools Endeca & Unix shell Scripting
 2 Years of exclusive experience in Big data ECO System components Spark2.0,
HDFS, Map Reduce, ApachePig, SQOOP, Hive, Flume, HBase
 Hands-on experience on using AWS EC2 r3.2xlarge instance
 Proficient working experience in writing PySpark jobs using SparkSQL, configuring
and deploying Airflow DAG`s
 Involved in deployment activities like deploying control services, emr and airflow
configurations in Production environment.
 Involved in writing Pig and Hive scripts
 Good knowledge on Core Java and Object Oriented Programming concepts
 Good communication, interpersonal, analytical skills, and strong ability to perform
as part of team.
 Interested in learning new concepts to keep updated in technology trends.
 Smart working and enthusiastic.
 Got appreciations from clients and got Q1 Quarterly Award – 2015 for my
contribution in project.
EDUCATION:
 Master of Computer Applications with 70% from Osmania University - 2013
 Bachelor of Computer Applications with 75% from Nagarjuna University - 2010
PROFESSIONAL EXPERIENCE:

2.  Worked as a Hadoop Developer for Cognizant Hyderabad from 2013 to 2016
 Currently working as a Spark Developer for TATA Consultancy Services since May
2016
TECHNICAL SKILLS
Technologies Spark2.0, Python 3.5, HDFS, Map Reduce, Apache Pig,
Hive, Sqoop, Flume
Schedulers Airflow
Continuous Integration Jenkins, Git, Code commit
Databases My SQL , Facets Sybase
Operating System Windows 7,Windows 8 and Linux
IDE & Editors Eclipse 3.0, Edit Plus
PROJECT PROFILES
PROJECT #3
Title : Client Letters – Batch Rewrite
Client : Cambia
Duration : May 2016 to current month
Role : Spark Developer
Environment : Spark2.0, Amazon 2.7.2, Python3.5, AWS (IAM, VPN, EC2, RDS,
S3), Jenkins, Code commit, Git and Airflow
Description :
Cambia needs to migrate the template from Client Letter platform to Docs platform of
RedCard. Existing system has no tracking process and having issues like duplicate
letters. As a process of Batch letter rewrite we need to convert existing Sybase stored
procedures into Pyspark jobs. Airflow is used as Scheduler for the new batch letters.
The new system has to read the facets completion status from control-M and schedule
the jobs with Airflow and able to generate an xml in AWS s3 location. Which is further
used by Redcard.
Responsibilities:
1. Involved in technical discussions, architecture design meetings and estimation
reviews.

3. 2. Analyse PDM (Product Data Management) document, and develop Pyspark ETL
jobs which extracts the data related to requested letter from FACETS REPLICA
DB(sybase) tables.
3. Done installation setups for vagrant, Jupyter Notebook and PySpark in Eclipse.
4. Involved in project presentations on Spark and AWS.
5. Developed client letters using Pyspark code from Sybase stored procedures.
6. Coordinated with onsite team on requirements for the development.
7. Stretched work hours to complete tasks in-time, given weekend support
whenever required.
8. Installed Airflow and configured DAG`s to schedule batch letters.
9. Involved in production deployment activities like Control services deployment,
EMR deployment, Airflow deployment on different Environments.
PROJECT #2
Title : Capital One Banking Project
Client : Capital One
Duration : Aug 2015 to March 2016
Role : Developer
Environment : Java, Red hat Linux, Hadoop, HDFS, Hive, HBase, Pig,
Sqoop, Map Reduce
Description :
Capital One Financial Corporation is an American bank holding company specializing in
credit cards, home loans, banking and savings products. Project deals with developing
new platform in Hadoop using historical data in My-SQL Data base and various other file
formats. Provide storage and Maintenance of data spread across all branches. Main aim
of the project is to centralize the data and perform Analytical processing.
Responsibilities:
1. Used Sqoop to import the data from My-SQL to Hadoop Distributed File
System (HDFS) and later analyzed the imported data
using Hadoop Components
2. Established custom Map Reduce programs in order to analyze data and used
Pig Latin to clean unwanted data.
3. Did various performance optimizations like using distributed cache for small
datasets, Partitioning and Bucketing in Hive.
4. Create tables in hive and load the data into that particular table after that load
the same data into HBase using Hive-HBase integration.
5. Involved in loading and transforming large sets of Structured, Semi-
Structured and Unstructured data and analyzed them by running Hive queries
and Pig scripts.

4. PROJECT #3
Title : Data Analysis of Great Eastern Life Insurance
Client : Great Eastern Life Insurance
Duration : Nov 2014 to Aug 2015
Role : Developer
Environment : Java, Red hat Linux, Hadoop, HDFS, Hive, Hbase, Pig,
Sqoop, Oozie, MapReduce, MsExcel, Pentaho report designer
Description :
Primary goal is implement hadoop as solution for the ETL On terabytes of data
and generate various reports based on client requirements. Great Eastern Life Insurance,
which has number of insurance products, once the products specification, design and is
available for sale, it is presented to the customers through agents and online. Customers
login on to the online portal and shows interest on the product. Every customer who
oversees the insurance prod uct does not buy the product in the real scenario. Great
Eastern Life Insurance want to find out the customers details whoever has shown
interest. Based upon this data predictive analysis can be performed.
Responsibilities:
 Installed and configured Hadoop Map Reduce, HDFS, Developed multiple Map
Reduce jobs in java for data cleaning and preprocessing.
 Built data pipeline using Pig and Java Map Reduce to store onto HDFS.
 Applied transformations and filtered both traffic using Pig.
 Installed and configured Hive, Pig, Sqoop, Flume and Oozie on the Hadoop cluster
 Developed Simple to complex Map/reduce Jobs using Hive and Pig
 Handled importing of data from various data sources, performed transformations
using Hive, MapReduce, loaded data into HDFS and Extracted the data
fromMySQL into HDFS using Sqoop
 Installed Oozie workflow engine to run multiple Hive and Pig jobs
 Involved in HiveQL.
 Involved in Pig Latin.
 Importing and exporting Data from Mysql/Oracle to HDFS using SQOOP.
Project #4
Title : Endeca iPlus 3.1
Environment: Endeca 3.1, SQL
Role : Developer
Hardware : Virtual Machines, UNIX
Duration : Nov 2013 – sep 2014

5. Description:
Deliver the best Incentive System, to meet the needs of Customers and Dealers, provide
a state of the art system that will allow to be more efficient, flexible and capture
increased sales, market share and profit, the existing SIMS R2.2 Business Processes
have been modified, new functionalities and new reports have been added. Business
Intelligence has been introduced to provide better reporting solutions through Endeca.
Following are the key changes that have been implemented in IPlus.
Responsibilities:
1. Create Endeca UI Reports with respective components like charts, results table,
and crosstabs.
2. Fine tuning of queries, for the better performance.
3. Involving in Requirement gathering and analysis.
4. Validate 3.1 endeca reports against 2.2.1 reports.
5. Prepared unit test cases for the reports.
6. Took the ownership of handling more challenging components both in terms of
design and configuration.

6. Description:
Deliver the best Incentive System, to meet the needs of Customers and Dealers, provide
a state of the art system that will allow to be more efficient, flexible and capture
increased sales, market share and profit, the existing SIMS R2.2 Business Processes
have been modified, new functionalities and new reports have been added. Business
Intelligence has been introduced to provide better reporting solutions through Endeca.
Following are the key changes that have been implemented in IPlus.
Responsibilities:
1. Create Endeca UI Reports with respective components like charts, results table,
and crosstabs.
2. Fine tuning of queries, for the better performance.
3. Involving in Requirement gathering and analysis.
4. Validate 3.1 endeca reports against 2.2.1 reports.
5. Prepared unit test cases for the reports.
6. Took the ownership of handling more challenging components both in terms of
design and configuration.