vyankatesh pentayya dasari

Having 2 years of experience in designing, developing and maintaining large business
applications such as data migration, integration, conversion, and Testing.
 Having experience in working with Hadoop Ecosystem, design/developing applications.
 Ecosystem technologies (HDFS, Hive, Sqoop, Apache Spark and AWS).
 Real time experience in Hadoop/Big Data related technology experience in Storage, Querying,
Processing and analysis of data.
 Understands the Complex Data Processing needs of big data and have experience in developing
codes and modules to address those needs.
 Capable of processing large sets of Structured and Semi-structured data.
 Worked on AWS Components like RDS, S3, EMR and EC2.
 Worked with different file formats like PARQUET, JSON, XML, AVRO data files and text files.
 Worked extensively on Hadoop migration project and POCs.
 Experience in data architecture including data ingestion, pipeline design.
 Expertise in writing Hadoop Jobs for analyzing data using Hive.
 Experience in importing and exporting data using Sqoop from RDBMS to HDFS and vice-versa.
 Knowledge in installing, configuring, and using Hadoop ecosystem components like HDFS, Hive,
Sqoop, and Spark.
 Brought in simplification process and Optimization initiatives to bring efficiency into applications.
 Manned versatile roles across diverse applications as Data Engineer and Developer.
 Able to assess business rules, collaborate with stakeholders and perform source-to-target data
mapping, design and review.
 Having hands on experience in deploying spark jobs over EMR cluster as a step execution.
 Used Agile methodology to work with IT and business team to progress efficient system
development.
 Data base experience in SQL Server and MYSQL