Application Development Resume

SUMMARY:

8 years of strong experience in Application Development using Pyspark, Java, Python, Scala, and R & in depth understanding of Distributed Systems Architecture and Parallel Processing Frameworks.
Strong understanding of Java Virtual Machines and multi - threading process.
Experience in writing complex SQL queries, creating reports and dashboards.
Proficient in using Unix based Command Line Interface, Expertise in handling ETL tools like Informatica.
Strong experience using pyspark, HDFS, MapReduce, Hive, Pig, Spark, Sqoop, Oozie, and HBase.
Deep knowledge of troubleshooting and tuning Spark applications and Hive scripts to achieve optimal performance.
Experienced working with various Hadoop Distributions (Cloudera, Hortonworks, MapR, Amazon EMR) to fully implement and leverage new features.
Experience in developing Spark Applications using Spark RDD, Spark-SQL and Data frame APIs.
Worked with real-time data processing and streaming techniques using Spark streaming and Kafka.
Experience in moving data into and out of the HDFS and Relational Database Systems (RDBMS) using
Apache Sqoop.
Expertise in working with HIVE data warehouse infrastructure-creating tables, data distribution by implementing Partitioning and Bucketing, developing, and tuning the HQL queries.
Significant experience writing custom UDFs in Hive and custom Input Formats in MapReduce.
Involved in creating Hive tables, loading with data, and writing Hive ad-hoc queries that will run internally in MapReduce and TEZ, replaced existing MR jobs and Hive scripts with Spark SQL & Spark data transformations for efficient data processing, Experience developing Kafka producers and Kafka
Consumers for streaming millions of events per second on streaming data.
Good knowledge in Database Creation and maintenance of physical data models with Oracle, Teradata,
Netezza, DB2, MongoDB, HBase and SQL Server databases.
Deep understanding of Ma

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