Skip to content
View DarrenDavy12's full-sized avatar
📘
Learning
📘
Learning

Block or report DarrenDavy12

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. supermarket-retail-data-project supermarket-retail-data-project Public

    🚀📊 This project demonstrates a complete ETL pipeline for retail sales data using ☁️ Azure Databricks, 📦 ADLS Gen2, and PySpark, following the 🟫 Bronze → 🟦 Silver → 🟨 Gold architecture.

    Jupyter Notebook

  2. crypto-fabric-pipeline crypto-fabric-pipeline Public

    💹 Top 100 Cryptocurrencies Daily Data Pipeline | End-to-end data engineering workflow with Fabric Lakehouse & Power BI dashboards

    Python

  3. nba2k25-pipeline nba2k25-pipeline Public

    🏀 NBA 2K25 Player Data Pipeline | Extract, transform & load player stats into PostgreSQL + interactive Plotly/Dash analytics 📊

    Python

  4. heart-disease-DE-role-analysis heart-disease-DE-role-analysis Public

    🩺❤️ This mini-project demonstrates a data engineering workflow using Python and Pandas. It processes a Heart Disease dataset to explore patient data, including counts, average age, and grouped metr…

    Python

  5. building-a-lakehouse-in-microsoft-fabric-with-azure-cli building-a-lakehouse-in-microsoft-fabric-with-azure-cli Public

    🏗️🌊 This project a creation of a fully functional Lakehouse in Microsoft Fabric using Azure CLI and other tools. A Lakehouse combines the flexibility of a data lake with the analytical capabilities…

    1

  6. airflow-products-project airflow-products-project Public

    🐳 🛠️🚀 A containerized end-to-end ETL pipeline built with Apache Airflow, Python, Pandas, Docker, and Postgres. The pipeline extracts product data from CSV, applies transformations and data cleaning…

    Python