What's included

• Data Modeling Documentation

  Detailed documentation of the data models I've created, outlining the rationale behind each model, the relationships between data entities, and how these models serve the analytical needs of the business.

• ETL (Extract, Transform, Load) Scripts

  Well-commented and tested scripts for data extraction, transformation, and loading processes, ensuring data is accurately and efficiently processed for analysis.

• Data Warehouse Schema

  A logical and physical schema of the data warehouse or data lake, showing how data is organized, optimized for query performance, and aligned with business intelligence objectives.

• Analytics and Reporting Tools Integration

  Setup and integration of analytics tools and reporting platforms that provide self-service capabilities to business users.

• Data Quality Framework

  Implementation of a data quality framework with automated checks and balances to ensure that data is accurate, complete, and reliable for making business decisions.

• Automated Data Pipelines

  Robust data pipelines that automate the flow of data from source systems to the data warehouse, designed for maintainability and scalability.