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Prescriber-ETL-data-pipeline

An End-to-End ETL data pipeline that leverages pyspark parallel processing to process about 25 million rows of data coming from a SaaS application using Apache Airflow as an orchestration tool and various data warehouse technologies and finally using Apache Superset to connect to DWH for generating BI dashboards for weekly reports

airflow airflow-docker amazon-s3 apache-superset azure-blob-storage bi-dashboards dataengineering datawarehouse etl-pipeline posgresql

Creat：2022-12-05T14:42:38

Update：2025-02-27T12:03:23

https://judeleonard.github.io/Prescriber-ETL-data-pipeline/

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