Utkarsh Email & Phone Number | • Good in Hadoop Framework and Big Data concepts And AWS cloud Computing. ▪ Having Around 2 years of IT experience in which 11 months exclusive experience in Hadoop and its components like HDFS, Apache Hive,Map Reduce, Sqoop , Hbase, Corejava Having Around 1.2 years of development experience using Apache Spark. * Experience in Amazon Web Services(EC2, S3, Data Pipeline, EMR) * Experience in transformations using SCALA and processing the data in ASW * Experience in Spark SQL Spark Streaming. MLLIb, and Scala * Strong knowledge on Spark Architechture and RDD-Pair RDD. * Implementation of logistic regression,K-means Clustering Algorithm on Spark. • Reviewed the HDFS usage and system design for future scalability • Transfer the huge amount of Data from HDFS to Hbase . • Performance tuning of SCALA programs. • Creating data pipelines for SCALA programs • Creating unit test cases. Hadoop / BigData, AWS Cloud Computing * Consulting on Hadoop ecosystem : Hadoop, MapReduce, Pig,Hive, Sqoop, Flume, Kafka, Machine Learning * Managed Hadoop clusters : setup, install, monitor, maintain; Distributions : Cloudera CDH Responsibilities : * Written MapReduce code to process all the sequence files to extract the useful * Extensively involved in query optimization in Hive query language. * Extensively used pig script, complex type, grouping, flattening etc. * Performance tuning of Hadoop clusters routines against very large data sets.

Utkarsh

• Good in Hadoop Framework and Big Data concepts And AWS cloud Computing. ▪ Having Around 2 years of...
Bengaluru, Bengaluru, India

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Utkarsh ’s Email utkarsh@akamai.com

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Utkarsh ’s Location Bengaluru, Bengaluru, India

Utkarsh ’s Current Industry Akamai Technologies Hp

Utkarsh ’s Prior Industry Accenture

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Data Scientist

2018-07-01 00:00:00 - Present

Data Engineer

2016-07-01 00:00:00 - Present

Hadoop Developer

2014-11-01 00:00:00 - 2016-06-01 00:00:00

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Utkarsh is a • Good in Hadoop Framework and Big Data concepts And AWS cloud Computing. ▪ Having Around 2 years of IT experience in which 11 months exclusive experience in Hadoop and its components like HDFS, Apache Hive,Map Reduce, Sqoop , Hbase, Corejava Having Around 1.2 years of development experience using Apache Spark. * Experience in Amazon Web Services(EC2, S3, Data Pipeline, EMR) * Experience in transformations using SCALA and processing the data in ASW * Experience in Spark SQL Spark Streaming. MLLIb, and Scala * Strong knowledge on Spark Architechture and RDD-Pair RDD. * Implementation of logistic regression,K-means Clustering Algorithm on Spark. • Reviewed the HDFS usage and system design for future scalability • Transfer the huge amount of Data from HDFS to Hbase . • Performance tuning of SCALA programs. • Creating data pipelines for SCALA programs • Creating unit test cases. Hadoop / BigData, AWS Cloud Computing * Consulting on Hadoop ecosystem : Hadoop, MapReduce, Pig,Hive, Sqoop, Flume, Kafka, Machine Learning * Managed Hadoop clusters : setup, install, monitor, maintain; Distributions : Cloudera CDH Responsibilities : * Written MapReduce code to process all the sequence files to extract the useful * Extensively involved in query optimization in Hive query language. * Extensively used pig script, complex type, grouping, flattening etc. * Performance tuning of Hadoop clusters routines against very large data sets.