Saurabh P Email & Phone Number | Having 7 years of experience in IT industry with 5+ years of experience in building Scalable, Distributed and Complex applications in BigData environment which includes designing and implementing end-to-end pipelines using Spark and Hadoop EcoSystem • Expertise in Spark, Hive, HDFS, Map Reduce, HBase, Pig, Sqoop, Kafka, Flume and Oozie. • Hands on experience in programming using Java, Python, Scala and SQL. • Well versed in manipulating/analyzing large datasets within structured and semi structured (JSON, XML) data. • Experienced working with Hadoop distributions both on-prem (CDH, HDP) and in cloud (AWS). • Good experience working with various data analytics and big data services in AWS Cloud like EMR, Redshift, S3, Athena, Glue etc., • Experienced in developing production ready spark application using Spark RDD Apis, Data frames Spark-SQL and Spark-Streaming API's. • Worked extensively on fine tuning spark applications to improve performance and troubleshooting failures in spark applications. • Strong experience in using Spark Streaming, Spark Sql and other components of spark -accumulators, Broadcast variables, different levels of caching and optimization techniques for spark jobs. • Worked on exporting/importing data using Sqoop from HDFS to Relational Database Systems and vice-versa • Proficiency in distributed query-processing tools like Hive, Spark-SQL

Saurabh P

Having 7 years of experience in IT industry with 5+ years of experience in building Scalable, Distri...
Austin, Texas, United States

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Saurabh P’s Location Austin, Texas, United States

Saurabh P’s Current Industry Us Bank

Saurabh P’s Prior Industry Halliburton | Sprint | Keane Worldzen | Endeavour

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Big Data Engineer

2019-03-01 00:00:00 - Present

Big Data Developer

2018-03-01 00:00:00 - 2019-02-01 00:00:00

Hadoop Developer

2017-10-01 00:00:00 - 2018-03-01 00:00:00

Data Engineer

2015-05-01 00:00:00 - 2017-03-01 00:00:00

Associate Application Developer

2013-09-01 00:00:00 - 2015-05-01 00:00:00

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Saurabh P is a Having 7 years of experience in IT industry with 5+ years of experience in building Scalable, Distributed and Complex applications in BigData environment which includes designing and implementing end-to-end pipelines using Spark and Hadoop EcoSystem • Expertise in Spark, Hive, HDFS, Map Reduce, HBase, Pig, Sqoop, Kafka, Flume and Oozie. • Hands on experience in programming using Java, Python, Scala and SQL. • Well versed in manipulating/analyzing large datasets within structured and semi structured (JSON, XML) data. • Experienced working with Hadoop distributions both on-prem (CDH, HDP) and in cloud (AWS). • Good experience working with various data analytics and big data services in AWS Cloud like EMR, Redshift, S3, Athena, Glue etc., • Experienced in developing production ready spark application using Spark RDD Apis, Data frames Spark-SQL and Spark-Streaming API's. • Worked extensively on fine tuning spark applications to improve performance and troubleshooting failures in spark applications. • Strong experience in using Spark Streaming, Spark Sql and other components of spark -accumulators, Broadcast variables, different levels of caching and optimization techniques for spark jobs. • Worked on exporting/importing data using Sqoop from HDFS to Relational Database Systems and vice-versa • Proficiency in distributed query-processing tools like Hive, Spark-SQL