amee-joshi-data-engineering-portfolio

What problem does it solve?

This Skill unit offers reference examples and patterns for building end-to-end data engineering solutions with Azure services, demonstrating scalable data platforms that leverage Medallion architecture and cloud-native technologies.

Core Features & Use Cases

• Azure Data Engineering Patterns: Implements various Azure data engineering patterns, including Medallion architecture, for scalable data platforms.
• Medallion Architecture: Demonstrates the Bronze-Silver-Gold architecture for data pipelines and analytics-ready datasets.
• Data Lakehouse: Implements data lakehouse patterns with Delta Lake for efficient data management and analytics.
• Dimensional Modeling: Provides dimensional modeling examples using SQL Server for data warehousing.
• ETL/ELT Pipeline Design: Offers ETL/ELT pipeline design patterns with incremental loading for efficient data processing.
• BI Reporting: Includes examples of Power BI reporting solutions for data visualization.
• Use Case: This skill is ideal for data engineers and architects looking to implement robust and scalable data platforms with Azure and Databricks.

Quick Start

To view the Azure Databricks Retail Lakehouse project, visit the repository 'azure-databricks-end-to-end-retail-lakehouse'.