• 7.5 years of IT experience in Big Data and Hadoop Ecosystems. • Experience in providing solutions for Big Data using Hadoop and its components like Hive, Pig, Sqoop, Flume, Map Reduce, HBase, HDFS, Yarn and Oozie, AWS EMR. • Experience in analyzing data using HiveQL, PIG Latin to meet the business requirements. • Written Hive queries for creating Managed/external tables, Data Preprocessing for right shifts in data, Hive SerDe to load data with multiple delimiters, Regular expressions. • Implemented partitioning, bucketing, Map side join in Hive to optimize performance. • Importing and exporting data into HDFS from database and vice versa using Sqoop. • Good knowledge in collecting and storing stream data in HDFS using Apache Flume. • Involved in performing data transformations using PIG operators. • Good understanding of Hadoop architecture, Map-Reduce programming model, Hadoop Distributed File Systems (HDFS), various File Formats. • Ability to work effectively in a multi-cultural environment with a team and individually as per the project requirement.