Trojan3877/AWS-SageMaker-Snowflake-ML-Pipeline

The **AWS SageMaker + Snowflake ML Pipeline** is a fully production-grade, end-to-end machine learning workflow designed to ingest large-scale data from Snowflake, perform feature engineering with Apache Spark, and train, tune, and deploy models on AWS SageMaker—all orchestrated and versioned with CI/CD, Terraform, and Ansible.

43
/ 100
Emerging
No Package No Dependents
Maintenance 13 / 25
Adoption 3 / 25
Maturity 15 / 25
Community 12 / 25

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Stars

4

Forks

1

Language

Python

License

MIT

Last pushed

Apr 08, 2026

Commits (30d)

0

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