Azure medallion lakehouse for NYC 311 service-request analytics using ADF, ADLS Gen2, Databricks/PySpark, Delta Lake, data-quality checks, dimensional modeling, and Power BI-ready marts.
Stock market analytics pipeline with medallion architecture on Databricks
End-to-end cloud data engineering project using AWS S3, Snowflake, Snowpark, SQL, Python, and Streamlit.
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.
End-to-end data engineering pipeline using Azure Blob, Data Factory, dbt, Snowflake, and Streamlit for interactive business analytics. (WIP)
End-to-End Data Engineering Pipeline using Snowflake, dbt, AWS, and Medallion Architecture (Bronze, Silver, Gold) with Incremental Models, Snapshots, Macros, and Data Quality Testing.
Add a description, image, and links to the cloud-data-engineering topic page so that developers can more easily learn about it.
To associate your repository with the cloud-data-engineering topic, visit your repo's landing page and select "manage topics."