Revolutionizing Data Transformation: A Comprehensive Guide to Building an Autonomous Pipeline

As the keynote speaker at the Data Engineering Summit 2023, Rittika Jindal, a seasoned Cloud Architect at Thomson Reuters, enlightened the audience about the development of a dynamic and autonomous data transformation pipeline. The tech stack comprised AWS Fargate containers, DBT, and Airflow, focusing on the ‘T’ in the ETL or ELT pipeline. This pipeline […]

As the keynote speaker at the Data Engineering Summit 2023, Rittika Jindal, a seasoned Cloud Architect at Thomson Reuters, enlightened the audience about the development of a dynamic and autonomous data transformation pipeline. The tech stack comprised AWS Fargate containers, DBT, and Airflow, focusing on the 'T' in the ETL or ELT pipeline. This pipeline equips businesses to construct their data marts independently, relying on SQL/DBT and creating dashboards for rapid insights without depending excessively on data engineers. The Nature of the Transformation Pipeline: Jindal emphasized the concept of a transformation pipeline, distinguishing it from conventional data extraction and loading pipelines. A transformation pipeline primarily targets the 'T' in ETL, assuming the data is alre
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