https://github.com/vandanabhumireddygari/scalable-data-pipeline-with-snowflake-apache-airflow-dbt-and-snowpark
This project demonstrates the creation of an end-to-end, automated data pipeline using Snowflake, Apache Airflow, dbt, and Snowpark. The pipeline efficiently ingests, transforms, and analyzes booking data in a cloud-based environment. By automating the entire workflow with Airflow DAGs and utilizing Snowpark for advanced analytics.
https://github.com/vandanabhumireddygari/scalable-data-pipeline-with-snowflake-apache-airflow-dbt-and-snowpark
airflow cosmos dbt dbt-core docker docker-compose snowflake snowpark
Last synced: about 2 months ago
JSON representation
This project demonstrates the creation of an end-to-end, automated data pipeline using Snowflake, Apache Airflow, dbt, and Snowpark. The pipeline efficiently ingests, transforms, and analyzes booking data in a cloud-based environment. By automating the entire workflow with Airflow DAGs and utilizing Snowpark for advanced analytics.
- Host: GitHub
- URL: https://github.com/vandanabhumireddygari/scalable-data-pipeline-with-snowflake-apache-airflow-dbt-and-snowpark
- Owner: VandanaBhumireddygari
- Created: 2025-03-20T00:40:44.000Z (2 months ago)
- Default Branch: main
- Last Pushed: 2025-03-24T02:31:12.000Z (about 2 months ago)
- Last Synced: 2025-04-05T08:17:56.477Z (about 2 months ago)
- Topics: airflow, cosmos, dbt, dbt-core, docker, docker-compose, snowflake, snowpark
- Language: Python
- Homepage:
- Size: 70 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md