Hadoop Developer Resume

SUMMARY

A Hadoop Certified Professional wif over 8 Plus years of IT experience includes 3 Plus years of experience in Big Data, Hadoop Eco System related technologies wif domain experience in Financial, Banking, Health Care, Insurance, Retail and Non - profit Organizations in Software Development and support of applications.
Excellent understanding/knowledge of Hadoop Ecosystem including HDFS, MapReduce, Hive, Pig, Spark, Kafka, YARN, HBase, Oozie, ZooKeeper, Flume and Sqoop based Big Data Platforms.
Expertise in design and implementation of Big Data solutions in Banking, Retail and E-commerce domains.
Experienced wif NoSQL databases like Hbase and Cassandra.
Comprehensive experience in building Web-based applications using J2EE Frame works like EJB, Struts and JMS.
Excellent ability to use analytical tools to mine data and evaluate the underlying patterns.
Assisted in Cluster maintenance, Cluster Monitoring, Managing and Reviewing data backups and log files.
Hands-on experience in developing MapReduce programs using ApacheHadoopfor analyzing the Big Data.
Expertise in optimizing traffic across network using Combiners, joining multiple schema datasets using Joins and organizing data using Partitioners and Buckets.
Experienced in writing complex MapReduce programs dat work wif different file formats like Text, Sequence, Xml and Avro.
Expertise in composing MapReduce Pipelines wif many user-defined functions using Apache PIG.
Implemented business logic by writing Pig Latin UDFs in Java and used various UDFs from Piggybanks and other sourcesHIVE.
Expertise in Hive Query Language (HiveQL), Hive Security and debugging Hive issues.
Responsible for performing extensive data validation using HIVE Dynamic Partitioning and Bucketing.
Experience in developing custom UDFs for Pig and Hive to incorporate methods and functionality of Python/Java into Pig Latin and HQL (Hive QL).
Worked on different set of tables like External Tables and Managed Tables.
Analyzed the data by performing Hive queries and used HIVE UDF's for complex queryingNoSQL.
Experience in writing real time query processing using Cloudera Impala.
Acted as SME and Module Lead for the major projects undertaken.
Expert database engineer, NoSQL and relational data modeling.
Responsible for building scalable distributed data solutions using Hbase, Cassandra.
In depth knowledge of Cassandra architecture, creating, deploying, commissioning nodes, decommissioning nodes and administering Cassandra NoSQL database systems.
Experience in using various nodetool operations like compaction, repair, and cleanup to balance the load and maintain consistency on Cassandra clusters.
Experience in architecting Cassandra clusters on different datacenters.
Involved in Cassandra DB administration and development in multi-node cluster using Datastax enterprise.
Worked in Apache Solr for effective search in Cassandra database cluster built on Datastax.
Experience in Administering and Installation of Hadoop clusters using Cloudera Manager, Ambari and Apache Platforms.
Experience in Big Data platforms like Hortonworks, Cloudera, Amazon EC2 and Apache.
Experience in cluster administration of Hadoop 2.2.0.
Experience in using visualization tools like Qlikview and Tableau.

TECHNICAL SKILLS

Web Technologies: JSP, Spring, REST API, HTML5, CSS, JavaScript, JQuery

JEE Technologies: Servlets, Web Services, SOAP, WebLogic, Apache Jakarta-Tomcat

Languages and Hadoop Components: Java, Hadoop, COBOL, CICS, C, C++, SQL, PL / SQL, Sqoop, Flume, Hive, Pig, MapReduce, YARN, Oozie, Spark, Impala, Hue

SQL and NoSQL Databases: Cassandra, Hbase, Oracle, DB2, MySQL, SQLite, MS SQL Server 2008 / 2012, MS Access.

Operating Systems: Windows 98/NT/XP/Vista/7, Windows CE, Linux, UNIX, IOS, MAC.

Methodologies: Agile, Rapid Application Development, Waterfall Model, Iterative Model

Big data Platforms: Hortonworks, Cloudera, Amazon AWS, Apache

Frameworks: Hibernate, EJB, Struts, Spring

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