Data Engineering

  • On-premise or cloud
  • Any type of data
  • Any data store (Cloud, AWS, Azure, On-premise, API, database)
  • Infrastructure design and build
  • Cloud engineering
  • Data prep
  • Data integration
  • Data migration
  • Data warehousing
  • ETL (extract, transform, load)
  • Custom reporting
  • Data pipelines development