ETL pipeline with GCP Dataflow
summary
Builds an operational data store and ETL pipeline on Google Cloud using Dataflow + Apache Beam to extract from SQL/NoSQL/REST, write JSON-lines to Cloud Storage → BigQuery, and serve Tableau/Data Studio. Uses a sliced architecture: many simple source-to-cloud-storage pipelines plus separate cloud-storage-to-BigQuery loaders, a Beam-based integration framework with templates and custom transforms so new teams can onboard without code. Prototyping drops from weeks to days, the solution is serverless and successful in production.
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