Stock market analytics pipeline with medallion architecture on Databricks
-
Updated
Jan 2, 2026 - Python
#
cloud-data-engineering
Here are 3 public repositories matching this topic...
Production-style Slowly Changing Dimension (SCD Type 2) pipeline built with Snowflake, dbt, and AWS S3. Demonstrates secure S3 ingestion, layered bronze/silver/gold modeling, dbt snapshots for historical tracking, and analytics-ready views identifying active vs historical records.
python aws sql etl snowflake data-warehouse data-engineering dbt elt data-modeling slowly-changing-dimensions amazon-s3 scd-type-2 analytics-engineering dimensional-modeling modern-data-stack cloud-data-engineering bronze-silver-gold dbt-snapshots
-
Updated
Jan 10, 2026 - Python
End-to-end data engineering pipeline using Azure Blob, Data Factory, dbt, Snowflake, and Streamlit for interactive business analytics. (WIP)
-
Updated
May 9, 2025 - Python
Improve this page
Add a description, image, and links to the cloud-data-engineering topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the cloud-data-engineering topic, visit your repo's landing page and select "manage topics."