James Dull

Background

About James Dull

Having 8-Years of IT experience which included 5 years in Big Data and ETL that includes extensive work on Big Data Technologies along with development of web applications in multi-tiered environments using Hadoop, Spark, Scala, HBase, Java, Sqoop, Kafka. • Hands on experience with Hadoop, HDFS, MapReduce and Hadoop Ecosystem like HBase. • Experience in working with various RDBMS. • Good hands on experience with SQL databases MYSQL. • Experience in writing SQL queries based on the Business requirement. • Experienced in working with Cloudera. • Experience in developing a data pipeline through Kafka-Spark API. • Experienced in working with AWS services like AWS Lambda, AWS S3, AWS RedShift, AWS RDS, AWS EMR. • Experience in loading data into Spark schema RDD's and querying them using Spark-SQL. • Good at writing custom RDD in Scala and implemented design patterns to improve the performance. • Excellent understanding of Hadoop distributed File system and experience in developing efficient MapReduce jobs to process large datasets. • Experience in importing and exporting data using Sqoop from HDFS to Relational Database Systems and vice-versa. • Experienced with different file formats like fixed file Width, CSV, Text files, Sequence files, XML, JSON and Avro files. • Worked on NoSQL databases like HBase & MongoDB to store structured and unstructured data. • Experience in Object Oriented language like Java and Core Java. • Worked with agile and Scrum software development framework for managing product development. • Strong analytical and problem-solving skills. Willingness and ability to quickly adapt to new environments and learn new technologies.