Rakesh Kumar Gouda
Leverage the Databricks Lakehouse Platform to perform core responsibilities for data pipeline development
Use SQL and Python to write production data pipelines to extract, transform, and load data into tables and views in the Lakehouse
Simplify data ingestion and incremental change propagation using Databricks-native features and syntax, including Delta Live Tables
Orchestrate production pipelines to deliver fresh results for ad-hoc analytics and dashboarding
Issued on
November 1, 2022
Expires on
Does not expire