Having almost 2 years of experience in designing and developing Big Data applications  using the  Hadoop Ecosystem technologies. Highly motivated and detail-oriented  seeking a challenging position as a Big Data Engineer, utilizing skills in Sqoop, Hive, Hadoop, PySpark, and AWS Solution Architect to contribute to the success of an organization (HDFS, Hive, Sqoop, Apache Spark and AWS, PYSPARK, Databricks)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, Athena, EMR and EC2.Worked with different file formats like 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 HDFS to RDBMS 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.Used Agile methodology to work with IT and business team to progress efficient system development.Data base experience in SQL Server and MYSQL.Have good problem solving and analytical skills and ready to innovate in order to perform better. Have strong Interpersonal skills and communication skills.AWS Solution Architect to contribute to the success of an organization.