Aditya Raj


Senior Systems Analyst, CTRE





InTrans, CTRE

About Aditya

Aditya Raj is housed at the Institute for Transportation, contributing to various research on transportation projects associated with the Center for Transportation Research and Education.


  • MS in Information Systems, Iowa State University, Ames, IA 2016
  • BE in Computer Science, Visvesvaraya Technological University, Belgaum, India, 2012

Professional Experience

  • Senior Systems Analyst, Institute for Transportation, Iowa State University, Ames, IA, 2019–present
  • Cloud Support Engineer (Big Data), Amazon Web Services, Seattle, WA, 2016–2019
  • Graduate Research Assistant, Institute for Transportation, Iowa State University, Ames, IA, 2014–2016
  • Supply Chain Engineer Professional, CO-OP, IBM Austin, TX, 2014

Selected Work Experience

Senior Systems Analyst, InTrans, Iowa State University

  • Manage on prem Cloudera based HPC
  • Designed and implemented ad hoc query and visualization framework based on Presto, Hive and Superset
  • Leading the effort to migrate to cloud services
  • Manage multiple projects/teams using Jira and Bitbucket
  • Design and deploy data ingestion and storage process for traffic data
  • Designed architecture for ML projects based on AWS

Cloud Support Engineer at Amazon

  • Provide technical support to a wide range of external customers as they build high-demand applications on top of AWS services like EMR, Kinesis, DynamoDB, Athena, Data Pipeline and Glue
  • Apply advanced troubleshooting techniques to provide unique solutions to AWS customers
  • Work directly with AWS architects to help reproduce and resolve customer issues
  • Drive customer communication during critical events
  • Conduct training sessions for new hires for AWS services
  • Supporting IEM (Infrastructure Event Management) events for AWS customers

Technical Skills

  • Big Data Technologies: Hadoop, Hive, Spark, Presto, Pig, Kafka, Sqoop, NiFi, JupyterHub
  • Operating Systems: Linux, Aix, Windows, MacOS
  • Databases: MongoDB, HBase, DynamoDB, Redshift, Big Query, PostgreSQL, MySQL, MS Access
  • Web Technologies: HTML, JavaScript, PHP, CSS
  • Programming Languages: Python, PySpark, Perl, Shell, Java, Pig