Hadoop/Spark Develope Resume

PROFESSIONAL EXPERIENCE

Hadoop/Spark Develope

Confidebtial

Having 10 years of IT experience in full System Development Life Cycle (Analysis, Design, Development, Testing, Deployment and Support) using various methodologies. Expert in
Big Data/Hadoop with strong skills in providing solutions to business problems using Big Data analytics.
Cloudera Certified Developer with 4 years of strong experience in Big Data and Hadoop Ecosystems.
Extensive experience in implementing, consulting and managing Hadoop Clusters & eco system components like HDFS, MapReduce, Pig, Hive, Sqoop, Flume, Oozie, Event Engine, Zookeeper & HBase.
Hands on experience with Spark - Scala programming with good knowledge on Spark Architecture and its In-memory Processing.
Experience in Cloudera and MapR distributions.
Strong architectural experience in building large scale distributed data processing and In-depth knowledge of Hadoop Architecture MR1 & MR2 (YARN).
Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems (RDBMS) and vice-versa.
Experience in analyzing data using HIVEQL, PIG Latin and custom MapReduce programs in JAVA. Extending HIVE and PIG core functionality by using custom UDF’s.
Expertized in Implementing Spark using Scala and SparkSQL for faster testing and processing of data
Real time streaming the data using Spark with Kafka.
Experience in NoSQL databases such as HBase and Cassandra.
Worked on different job workflow scheduling and monitoring tools like Oozie, Event Engine and Zookeeper.
Involved in converting Hive/SQL queries into Spark transformations using Spark RDDs and Scala.
Very good understanding of Static and Dynamic Partitions, Bucketing concepts in Hive and designed both Managed and External tables in Hive to optimize performance.
Experienced in creating API Proxy’s and configuration using APIGEE Dashboard and working with API OP’s team to promote the changes in E2, E3 thru RFC.
Experience in creating the Spring Cloud Netflix - Eureka Client and Service applications.
Exploring with the Spark for improving the performance and optimization of the existing algorithms in Hadoop using Spark Context, Spark-SQL, Data Frame, Pair RDD's, Spark YARN.
Having good knowledge on Python.
Good Knowledge with NoSQL Databases like HBase, Cassandra, CouchDB, and MongoDB.
In depth understanding of Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node and MapReduce.
Expert in Java based technologies including Core Java, JSP, Servlets, JDBC, Ajax, Hibernate, Web services and frameworks like Struts, Spring and SDLC process.
Experience in web design technologies, such JSP, HTML, JavaScript, AJAX, JSON, JQuery, JSTL, CSS,

TECHNICAL SKILLS

Big Data Ecosystems: Hadoop, MapReduce, Hive, Pig, HBase, Sqoop, Spark, Oozie, Scala, Kafka, Zookeeper, Cassandra and YARN, Cloudera CDH, MapR.

Programming Languages: Core Java, J2EE Technologies, Python, Scala.

Scripting Languages: JavaScript, XML, HTML and Shell scripting.

Databases: MySQL, Oracle.

Tools: Service Now, CR Database, Log4J, logback, POSTMAN, CVS, Rally.

Web Technologies: JSP, JavaScript, XML, HTML, CSS and Web Services.

Methodologies: Agile, SDLC.

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