About

Vijay Dantuluri is an experienced Data Engineer currently working at Amazon Web Services (AWS). With over 12 years of experience in the information technology and services industry, Vijay has a strong background in data engineering and is skilled in various tools and technologies such as BMC Control-M, Oracle SQL, Unix Shell Scripting, ETL with Datastage, SAS, Python, AWS Cloud Stack - Redshift, Kinesis Stream, Kinesis Firehose, Lambda, Glue, IAM, SQS, SNS, Google Cloud Stack - BigQuery, Pub/Sub, Apache Airflow, Composer, Spark 2.x, Hadoop echosystem, HDFS, YARN, Hive, Sqoop, Kafka and Mainframe. Vijay holds a Bachelor's degree in Electronics and Communications Engineering from Jawaharlal Nehru Technological University. He started his career as a Lead Data Engineer at TCS and later worked as a Lead Software Engineer at Macy's before joining Amazon as a Data Engineer. Vijay's expertise in data engineering and his ability to work with various tools and technologies have made him a valuable asset to his current and past employers. Vijay is a strong engineering professional with a keen eye for detail and an ability to work well under pressure. His technical skills and experience make him a reliable team player who can work effectively in a fast-paced environment. Vijay's proficiency in data engineering, AWS, Web, SQL, HDFS, Spark, Apache Airflow, Python, Hadoop, Kafka, ETL, Software Engineer, Senior Software Engineer, and Apache Hive make him a sought-after candidate in the industry. Overall, Vijay's relevant experience and technical skills make him a valuable asset to any organization looking for a skilled Data Engineer who can work with various tools and technologies to deliver high-quality results.