vyankatesh pentayya dasari

Business and Finance

About Me

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

Education

Dr.v.v.patil collage of engineering 2021

BE in Mechanical

Government polytechnic. 2018

Diploma in Mechanical

Work & Experience

CG Power & industrial solutions LTD 03/01/2021 - 01/02/2023

spark developer

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

Skills

spark
98%
HADOOP
100%
SQOOP
101%
Hive
100%
HDFS
100%

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