• Technically proficient and a competent professional with a career spanning 15 years in Data Analytics, Big data and Artificial Intelliegnce . I have extensive experience in leading and executing large scale BI/DWH/Big Data projects . Career Summary • Have played Role of Big Data Architect , E2E Data Analyst , ETL Architect , and BI/DWH developer for clients like Apple Inc. , Intel Corporation and British Telecom . • Have strong understanding of Hadoop Architecture , Map Reduce Framework , HDFS , Hive , Sqoop and Oozie and associated system components . • 4+ years of experience in Big Data and its related ecosystem technologies. Proficient in performance tuning of HQL queries by using various joins like SMB , Map side join , Multi query dynamic partition insert , writing customized combiner codes , writing UDF/UDAF , bucketing , increasing/optimizing the number of mappers/reducers , applying compression techniques and using parameters . • Proficient in DWH/BI concepts , Dimensional Modelling , Ralph Kimball's bottom up approach of building a data warehouse from scratch , types of slowly changing dimensions and their implementation , Change Database Capture (CDC) Implementation , Data scrubbing , data obfuscation, Experienced in designing robust various frameworks related to ETL layer, Data Quality Management(DQM) and semantic-reporting layer . • Experienced Practitioner of different software engineering methodologies like Waterfall and Agile(SCRUM) . • Successfully developed and deployed Big Data code on a 2000 node production cluster . • An effective communicator with excellent analytical and communication skills.