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Hadoop Developer Resume

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  • 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.


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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