Currently in New York City, NY. Available to relocate and start within 2 weeks’ notice. Available for a phone screen with 24-hour notice and can come for a Face to Face interview with a 3 days’ notice. Professional Summary • Around 8 years of professional IT experience including 5+ years in Big Data ecosystem related technologies. Expertise in Big Data technologies a consultant, proven capability in project based team work and also as an individual developer with good communications skills. • Hands-on experience with major components in Hadoop Ecosystem like Map Reduce, HDFS, YARN, Hive, Pig, HBase, Sqoop, Oozie, Cassandra, Impala and Flume. • Knowledge in installing, configuring, and using Hadoop ecosystem components like Hadoop Map Reduce, HDFS, HBase, Oozie, Hive, Sqoop, Pig, spark, kafka, storm, Zookeeper and Flume • Experience with new Hadoop 2.0 architecture YARN and developing YARN Applications on it • Experience with Apache Spark’s Core, Spark SQL, Spark Streaming • Experience with distributed systems, large-scale non-relational data stores and multi-terabyte data warehouses. • Firm grip on data modeling, database performance tuning and NoSQL map-reduce systems • Experience in managing and reviewing Hadoop log files • Real time experience in Hadoop/Big Data related technology experience in Storage, Querying, Processing and analysis of data • Worked on multi clustered environment and setting up cloudera Hadoop ecosystem. • Worked on Data Virtualization tools like Tableau. • Hands on experience in Agile and scrum methodologies • Performed importing and exporting data into HDFS and hive using Scoop • Experience in processing semi-structured and unstructured datasets • Responsible for setting up processes for Hadoop based application design and implementation • Experience in managing HBase database and using it to update/modify the data • Experience in running MapReduce and Spark jobs over YARN • Experience with Cloudera distributions (i.e.) CDH3/CDH4 • Extending Hive and PIG core functionality by writing UDFs. • Used Oozie engine for creating workflow and coordinator jobs that schedule and execute various Hadoop jobs such as MapReduce Jobs, Hive, Pig and sqoop operations. • Used Hive to create tables in both delimited text storage format and binary storage format. • Hands-on experience in complete project life cycle (design, development, testing and implementation) of Client Server and Web applications Experience in Object Oriented Analysis and Design (OOAD) and development of software using UML Methodology. Solid experience in writing complex SQL queries. Also, experienced in working with NOSQL databases like Cassandra 2.1.
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