Sam has over 8 years of experience in big data technologies including Hadoop, Spark, Hive, Pig, Kafka and Cassandra. He has expertise in data ingestion, processing, ETL and analytics. Some of his responsibilities include developing MapReduce programs, Spark applications, data pipelines, streaming jobs and visualizations. He is proficient in Java, Python, Scala and various big data tools.

1. SAM
Samk.bigdata@gmail.com
614-664-6543
Professional Summary:
 8+ yearsof overall experience in Financial, Marketing and Enterprise Application Development in
diverse industries whichincludes hands on experience in Big data ecosystem related technologies.
 3+ years of Data Analyticsexperience in ApacheHadoopClouderaandHortonworksDistributions
 Expertise in core Hadoop and Hadoop technology stackwhich includes HDFS, MapReduce,Oozie,
Hive,Sqoop,Pig, Flume,HBase, Spark,Storm, Kafka and Zookeeper.
 Experience in AWS cloudenvironment and on s3 storage and ec2 instances and deploying in it.
 In-depth knowledge of Statistics, MachineLearning,Datamining.
 Well versed in installation, configuration, supporting and managing of Big Data and underlying
infrastructure of HadoopCluster.
 Experienced in implementing complex algorithms on semi/unstructured data using Mapreduce
programs.
 Experienced in working withstructureddata using HiveQL, joinoperations,HiveUDFs,partitions,
bucketing and internal/external tables.
 Experienced in migrating ETL kind of operations using Pig transformations, operations and UDF's.
 Good knowledge on Python.
 Designed and developed ETLprocesses to extract and load data from Legacy System by using Talend
data integration tool.
 SparkStreaming collectsthis data from Kafkain near-real-time and performs necessary
transformations and aggregation on the fly to build the common learner data model and persists the
data in NoSQL store(Hbase).
 Specialization in Data Ingestion, Processing, Development from Various RDBMS data sources into a
Hadoop Cluster using MapReduce/Pig/Hive/Sqoop
 Configured different topologies forStormclusterand deployed them on regular basis.
 Experienced in implementing unified data platform to get data from different data sources using Apache
Kafka brokers, cluster, Javaproducers and Consumers.
 Excellent WorkingKnowledge in Spark Core,SparkSQL, SparkStreaming using Scala.
 Experienced in working within-memory processing frame worklike Sparktransformations,SprakQL
and Sparkstreaming.
 Experienced in proving User based recommendation by implementing collaborativefiltering and matrix
factorizationand different classificationtechniques like random forest, SVM, K-NN using Spark
Mliblibrary.
 Excellent understanding and knowledge of NOSQL databases like HBase,Cassandra,Mongo DB,
Teradataand onData warehouse.
 Installed and configured Cassandraandgood knowledgeabout Cassandra architecture, read, write
paths and query.
 Implemented Frameworks using java and python to automate the ingestion flow.
 Involvedin NoSQL(Datastax Cassandra) database design, integration and implementation and written
scripts and invoked them using CQLSH.
 Involvedin data modeling in Cassandraand Involvedin implementing sharding and replication
strategies in MongoDB.

2.  Developed fan-out workflow using flumeforingesting data fromvarious data sources like
Webservers,RestAPI by using different sources and ingested data into Hadoop with HDFS sink.
 Experienced in implementing custom interceptors and sterilizers in flumeforspecific customer
requirements.
 Toolmonitored log input from several datacenters, via SparkStream, was analyzed in Apache Storm
and data was parsed and saved into Cassandra.
 Experience in importing and exporting data using SqoopfromHDFS to Relational DatabaseSystems
MYSQL,SQL SERVER and vice versa.
 Involvedin Database Designing including ERDiagram and Database Normalization (3NF).
 Experience in developing strategies forExtraction, Transformation and Loading (ETL) data from
various sources into Data Warehouse and Data Marts using informatica.
 Excellent understanding / knowledge of Hadoop architecture and various components such as HDFS,
JobTracker,TaskTracker,Name Node,Data Nodeand MapReduce programming paradigm.
 Good Exposure on ApacheHadoopMapReduceprogramming,PIG ScriptingandDistribute
ApplicationandHDFS.
 Experience in managing HadoopclustersusingClouderaManagerTool.
 Very good experience in complete project life cycle(design, development, testing and implementation)
of Client Server and Web applications.
 Developed Tableau dashboards with combination charts for clear understanding.
 Improved Reports performance in Tableau using extracts and context filters
 Worked on Cluster co-ordination services through Zookeeper.
 Actively involvedin coding using CoreJavaand collectionAPI'ssuch as Lists, Sets and Maps.
 Hands on experience in application development using Java, RDBMS,andLinuxshell scripting.
 Experience on different operating systems like UNIX, Linuxand Windows.
 Experience on Java Multi-Threading,Collection,Interfaces,Synchronization,andException
Handling.
 Involvedin writing PL/SQLstored procedures,triggersandcomplexqueries.
 Worked in Agileenvironmentwithactivescrum participation.
Technical Skills:
Hadoop/BigData HDFS, Map reduce, HBase, Pig, Hive, Sqoop, MongoDB, Cassandra, Flume,
Oozie, Zookeeper, AWS, Spark, Kafka, Teradata, Storm, ETL,Informatica,
Tableau, Talend, Scala.
Java & J2EE Technologies Core Java,Servlets, JSP,JDBC, JavaBeans, Maven, Gradle, JUnit,TestNG.
IDE’s Eclipse, Net beans, Intellij Idea.
Frameworks MVC, Struts, Hibernate, Spring.
Programminglanguages C,C++, Java,Python,Ant scripts, Linux shell scripts
Databases Oracle 11g/10g/9i, MYSQL, DB2, MS-SQL SERVER
Web Servers Web Logic, Web Sphere, Apache Tomcat,
Web Technologies HTML, XML,JavaScript, AJAX,SOAP, WSDL,JAX-RS, Restful, JAX-WS.
NetworkProtocols TCP/IP,UDP,HTTP,DNS, DHCP
VersionControls CVS, SVN, GIT.
Work Experience:

3. Client: CVS,Greensboro,NC Feb’ 15 to Till Date
Role:HadoopDeveloper
Responsibilities:
 Worked on analyzing Hadoopclusterand different big data analytic tools including Pig,Hbase
databaseand Sqoop,Cassandra,zookeeper,AWS.
 Evaluated business requirements and prepared detailed specifications that follow projectguidelines
required to develop written programs.
 Responsible forbuilding scalabledistributed data solutions using Hadoop.
 Analyzed large amounts of data sets to determine optimal way to aggregate and report on it using Map
Reduceprograms.
 Implemented Map reduceprograms toretrieve Top-K results from unstructured data set.
 Migrating various hive UDF’sand queries into SparkSQLfor faster requests as part of POC
implementation using Scala.
 Involvedin Database Designing including ERDiagram and Database Normalization (3NF).
 Optimized Map ReduceJobs touse HDFS efficiently by using various compression mechanisms.
 Handled importing of data from various data sources, performed transformations using Hive,
MapReduce,loadeddatainto HDFS and Extractedthe data from HDFS to MYSQL,SQL SERVER using
Sqoop.
 FollowedAgilemethodology (ScrumStandups, Sprint Planning, Sprint Review,Sprint Showcase and
Sprint Retrospective meetings).
 Exported the analyzed data to the relational databases such as oracle, mysql using Sqoopfor
visualization and to generate reports for the BI team.
 Experience in AWS cloudenvironment and on s3 storage and ec2 instances
 Developed fan-out workflow using flumeforingesting data fromvarious data sources like
Webservers,RestAPI by using different sources and ingested data into Hadoop with HDFS sink.
 Involvedin migrating MongoDBversion2.4to 2.6 and implementing new security features and
designing more efficient groups.
 Installed and configured Cassandraandgood knowledgeabout Cassandra architecture, read, write
paths and query.
 Developed Tableau dashboards with combination charts for clear understanding.
 Improved Reports performance in Tableau using extracts and context filters
 Implemented various ETL solutions as per the business requirement using informatica
 Experience with creating ETLjobs to load JSON data and serverdata into MongoDB andtransformed
MongoDBinto theDataWarehouse.
 Designed and developed ETLprocesses to extract and load data from Legacy System by using talend
data integration tool.
 Extensively used components like tWaitForFile, tIterateToFlow,tFlowToIterate,tHashoutput,
tHashInput, tMap, tRunjob, tJava,tNormalize and tfile components to create talend jobs.
 Implemented Frameworks using java and python to automate the ingestion flow.
 Involvedin data modeling in CassandraandMongoDB andinvolvedin choosing indexes and primary
keys based on the client requirement.
 Configured Spark streaming to receive real time data fromthe Kafka and store the stream data to HDFS
using Scala.
 Used Sparkfor Parallel data processing and better performances using Scala.
 Extensively used Pig fordata cleansing and extract the data from the web server output files to load
into HDFS.
 Developed a data pipeline using Kafka and Stormto store data into HDFS.

4.  Implemented Kafka Javaproducers, create custom partitions, configured brokers and implemented
High level consumers to implement data platform.
 Implemented Storm topologies topreprocess data, implemented custom grouping to configure
partitions.
 Managed and reviewed Hadooplogfiles.
 Involvedin creating Hivetables, loading with data and writing hivequeries which willrun internally in
MapReduce way.
 Used Hiveto analyze the partitioned and bucketed data and compute various metrics forreporting.
 Installed and configured Pigand also written Pig Latin scripts.
 Responsible tomanage data coming fromdifferent sources such as SQL SERVER.
Environment:Hadoop,MapReduce, Agile, HDFS, Hive, Pig, Java,SQL SERVER, Sqoop, Java (jdk1.6),
Spark, kafka,AWS, MongoDB,Storm, Cassandra, ETL,Informatica, Python,Tableau, Talend, scala.
Client:BB&T Bank-Charlotte,NC Feb’ 14 to Jan’ 15
Role:HadoopDeveloper
Responsibilities:
 Installed and configured Cassandraandgood knowledgeabout Cassandra architecture, read, write
paths and quering using Cassandrashell.
 Worked on writing MapReducejobs to discover trends in data usage by customers.
 Worked on and designed Big Data analytics platform forprocessing customer interface preferences and
comments using Java, Hadoop,HiveandPig.
 Involvedin hive-Hbaseintegrationby creating hiveexternal tables and specifying storage as Hbase
format.
 Importing and exporting data into HDFS and Hiveusing Sqoopfromoracle and vice versa.
 Exported the analyzed data to the relational databases such as oracle using Sqoopforvisualization and
to generate reports for the BI team.
 Designed and developed ETLprocesses to extract and load data from Legacy System by using talend
data integration tool.
 Implemented Frameworks using java and python to automate the ingestion flow.
 Experienced in defining job flowsto run multiple MapReduceand Pigjobsusing Oozie.
 Installed and configured Hiveand also written HiveQL scripts.
 Experience with loading the data into relational database for reporting, dash boarding and ad-hoc
analyses, whichrevealed waysto lower operating costs and offsetthe rising costof programming.
 Experience with creating ETLjobs to load JSON data and server data into MongoDB andtransformed
MongoDB intotheData Warehouse.
 Involvedin ETLcode deployment, PerformanceTuning of mappings in Informatica.
 Created reports and dashboards using structuredand unstructureddata.
 Experienced with performing analytics on Time Series data using HBase.
 Implemented HBaseco-processors, Observers to workas event based analysis.
 Hands on Installing and configuring nodes CDH4HadoopCluster onCentOS.
 Implemented HiveGeneric UDF'sto implement business logic.
 Experienced with accessing Hivetables to perform analytics from java applications using JDBC.
 Experienced in running batch processes using Pig Scripts and developed Pig UDFsfor data
manipulation according to Business Requirements.
 Experience with streaming workflow operations and Hadoop jobs using Oozieworkflow and
scheduled through AUTOSYSon a regular basis.

5.  FollowedAgilemethodology (ScrumStandups, Sprint Planning, Sprint Review,Sprint Showcase and
Sprint Retrospective meetings).
 Performed operation using Partitioning pattern in MapReduceto move records into different
categories.
 Developed SparkSQL scripts and involvedin converting hiveUDF’s to SparkSQL UDF’s.
 Responsible forbatch processing and real time processing in HDFS and NOSQL Databases.
 Responsible forretrieval of Data from Casandra and ingestion to PIG.
 Experience in customizing map reduce frameworkat various levels by generating Custom Input
formats, Record Readers, Partitioner and Data types.
 Experienced with multiple file in HIVE,AVRO,Sequence file formats.
 Created and maintained Technical documentation for launching HADOOPClusters and forexecuting
PigScript.
 Implemented business logic by writing PigUDF's in Javaand used various UDFs fromPiggybanks and
other sources.
Environment:Casandra, Map jobs, Spark SQL, Agile, ETL,Pig Scripts, Flume, Hadoop BI, Pig UDF’s,
Oozie, AVRO,Hive, Map Reduce, Java, Eclipse, Zookeeper, Informatica,oracle, Python,Talend.
Client: Epsilon,Danbury,CT Aug’ 12to Dec’ 13
Role:HadoopDeveloper
Responsibilities:
• Involvedin the Complete Softwaredevelopment life cycle(SDLC) to develop the application.
• Worked on analyzing Hadoop cluster and different big data analytic tools including Pig, Hbase
databaseand Sqoop,Cassandra,zookeeper.
• Involvedin loading data from LINUX filesystem to HDFS.
• Exported the analyzed data to the relational databases using Sqoopforvisualization and to generate
reports forthe BI team.
• FollowedAgilemethodology (ScrumStandups, Sprint Planning, Sprint Review,Sprint Showcase and
Sprint Retrospective meetings).
• Importing and exporting data into HDFS and Hiveusing SqoopfromOracleand viceversa.
• Implemented test scripts to support test driven development and continuous integration.
• Developed multiple MapReducejobs in java fordata cleaning.
• Installed and configured HadoopMapReduce,HDFS,DevelopedmultipleMapReducejobs injava
for data cleaning and preprocessing.
• Created Pig Latin scripts to sort, group, join and filter the enterprise wise data.
• Involvedin creating Hivetables, loadingwithdataand writinghivequeries that willrun internally
in Map Reduce way.
• Supported MapReducePrograms thoseare running on the cluster.
• Analyzed large data sets by running HivequeriesandPigscripts.
• Implemented Frameworks using java and python to automate the ingestion flow.
• Worked on tuning the performance Pig queries.
• Mentored analyst and test team for writing HiveQueries.
• Installed Oozieworkflow engine to run multiple Mapreducejobs.
• Worked withapplication teams to install operating system, Hadoop updates, patches, version upgrades
as required.
• Worked on zookeeper forcoordinatingbetween differentmaster node and datanodes

6. Environment:Hadoop,HDFS, Map Reduce, Agile, Hive, Pig, Sqoop, Linux, Java, Oozie,Hbase, zookeeper,
SQL SERVER,python.
Client:MeridianEnterprise,StLouis,MO Nov’ 10to Jul’ 12
Role:Java/J2EE Developer
Responsibilities:
 Workwith business users to determine requirements and technical solutions.
 FollowedAgilemethodology (ScrumStandups, Sprint Planning, Sprint Review,Sprint Showcase and
Sprint Retrospective meetings).
 Developed business components using core java concepts and classes like Inheritance,
Polymorphism,Collections,SerializationandMultithreadingetc.
 Used SPRING framework that handles application logic and makes calls to business make them as
SpringBeans.
 Implemented, configured data sources, session factory and used Hibernate Template to integrate
SpringwithHibernate.
 Developed web services to allow communication between applications through SOAP over HTTP with
JMS and mule ESB.
 Actively involved in coding using Core Java and collection API's such as Lists, Sets and Maps
 Developed a Web Service(SOAP,WSDL) that is shared between front end and cable bill review
system.
 Implemented Rest based web service using JAX-RS annotations, Jersey implementation for data
retrieval with JSON.
 Developed MAVENscriptsto build and deploy the application onto Web logic Application Server and
ran UNIX shell scripts and implemented auto deployment process.
 Used Mavenas the build tool and is scheduled/triggered by Jenkins(build tool).
 Develop JUNIT test cases for application unit testing.
 Implement Hibernatefordata persistence and management.
 Used SOAP UItool for testing web services connectivity.
 Used SVNas version control to checkin the code, Created branches and tagged the code in SVN.
 Used RESTFULServices to interact with the Client by providing the RESTFULURLmapping.
 Used Log4j frameworkto log/track application and debugging.
Environment:JDK1.6, Eclipse IDE,Core Java,J2EE,Spring, Hibernate, Unix, Web Services, SOAP UI,
Maven, Web logic Application Server, SQL Developer,Camel, Junit, SVN, Agile, SONAR, Log4j, REST,
Log4j, JSON, JBPM,Agile.
Client:MOBILINK – DSS MOBILE COMMUNICATIONS,INDIA Aug’ 07to Sep’ 10
Role:JuniorJavaDeveloper
Responsibilities:
 Involved in analysis, design and development of Expense Processing system.
 Created used interfaces using JSP.
 Developed the Web Interface using Servlets, Java Server Pages, HTML and CSS.
 Developed the DAO objects using JDBC.
 Business Services using the Servlets and Java.
 Design and development of User Interfaces and menus using HTML 5, JSP, Java Script, client side and
server side validations.
 Developed GUI using JSP, Struts frame work.
 Involvedin developing the presentation layer using SpringMVC/AngularJS/JQuery.
 Involved in designing the user interfaces using Struts Tiles Framework.
 Used Spring 2.0 Framework for Dependency injection and integrated with the Struts Framework and
Hibernate.
 Used Hibernate 3.0 in data access layer to access and update information in the database.
 Experience in SOA (Service Oriented Architecture) by creating the web services with SOAP and WSDL.

7.  Developed JUnit test cases for all the developed modules.
 Used Log4J to capture the log that includes runtime exceptions, monitored error logs and fixed the
problems.
 Used RESTFULServices to interact with the Client by providing the RESTFULURLmapping.
 Used CVS for version control across common source code used by developers.
 Used ANT scripts to build the application and deployed on Web logic Application Server 10.0.
Environment:-Struts1.2, Hibernate3.0, Spring2.5 ,JSP,Servlets, XML,SOAP,WSDL,JDBC, JavaScript,
HTML, CVS, Log4J, JUNIT,Web logic App server, Eclipse, Oracle,Restful.
Education:
Bachelors in Technology – Computer Science And Engineering
Jawaharlal Nehru Technological University
References:
 Provided upon request