In this project, I designed a Data Warehouse in Snowflake for business analysis of the dealership NovaDrive Motors. I used Apache Airflow to extract raw data from PostgreSQL and load it into the Staging layer of the DWH. Then, I transformed the raw data with DBT into insights to build the BI dashboard for sales analysis

End-to-end ELT data pipeline built with Snowflake, dbt, and Apache Airflow, demonstrating automated orchestration, scalable warehouse design, modular transformations, data quality testing, and modern analytics engineering best practices.

This repository highlights a Data Warehouse project simulating the merger of 'Fudgeflix' and 'Fudgemart', akin to Netflix and Amazon. It emphasizes creating an integrated warehouse using Snowflake, DBT Cloud, and an ELT strategy, with extensive SQL scripts and data transformation documentation.

This project demonstrates a complete ELT pipeline using Snowflake, dbt, and Google Cloud Platform (GCP) to extract, transform, and load data from the Spotify API into a medallion architecture (Bronze → Silver → Gold) fully implemented inside Snowflake as the primary data warehouse.

Tech Stack: Snowflake, DBT, Airflow

This project perform an ELT solution to design a Data Warehouse in Snowflake

Modern ELT pipeline transforming Brazilian e-commerce data into a Snowflake data warehouse using MinIO, dlt, and dbt for dimensional modeling

An end-to-end ELT pipeline using AWS infrastructure and Snowflake Data Warehouse to process a Retail Sales dataset, with analytics dashboarding via Metabase.

An ELT data pipeline for house data scrapped from buyrentkenya, cleaned using pandas, transformed data for business insights using dbt, Apache Airflow for orchestration and Snowflake for Data Marts and Warehousing

# DBT Project – Snowflake Connector (MSDA This repository contains my dbt project developed as part of the Week 10 Data Warehouse & Pipelines lab. The goal of this project is to build and test an ELT workflow in dbt using a Snowflake connection. --

This project demonstrates a complete, modern ELT (Extract, Load, Transform) data pipeline. Data is extracted from various sources using Fivetran, loaded into a Snowflake data warehouse, and then transformed into analytics-ready models using Fivetran's integrated dbt Core feature.

Design and implement a full ELT data pipeline using Snowflake and S3, featuring star schema modelling, SCD Type 1 & 2 handling, and incremental load automation

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Led the modernization of a data warehouse by implementing an ELT (Extract, Load, Transform) pipeline using dbt on Snowflake, integrating data from various sources. Developed CI/CD pipelines with GitHub Actions to automate data transformations, testing, and documentation, ensuring data reliability and accelerating insights delivery.

elt process and data warehouse project in snowflake using marketplace data

Built ELT data pipeline using snowflake as the data warehouse, dbt, and airflow.

This project demonstrates an end-to-end data warehouse and analytics solution built entirely using Snowflake’s web interface (Snowsight).

An ELT project using Snowflake as the data warehouse and dbt as the data transformation tool.

This project focuses on designing and implementing a robust, scalable, and high-performance E-Commerce Data Warehouse on the Snowflake cloud data platform. The primary objective is to consolidate transactional and sales data from sources, cleanse the data, and transform it into a Dimensional Model (Star Schema) optimized for analytical reporting

Snowflake Retail ELT: Python, Docker, Airflow, and dbt Core for modern e-commerce data warehousing.

An ELT pipeline implementation built with dbt and Snowflake. It demonstrates core data modeling patterns (fact tables, data marts) and Snowflake warehouse setup.

Layered Snowflake data warehouse (S3 → RAW → STAGING → CURATED) implementing SQL-based ELT transformations and scenario impact modeling.

An ELT data pipeline built with dbt for data transformations, Apache Airflow for orchestration and Snowflake for Data Marts and Warehousing

learn dbt - it does the T from ELT on data warehouses like snowflake, google big query and so on

End-to-end fintech data migration from PostgreSQL OLTP to Snowflake analytics warehouse using ELT and star schema design.

Enterprise-grade Snowflake data warehouse with star schema, SCD Type 2, and automated ELT pipelines processing 20K+ daily transactions

This project is an ELT Pipeline using Dbt (dbt-core) for transformation, Snowflake for data warehousing and Airflow for orchestration.

(ELT) data pipeline from scratch, using dbt for data transformation, Snowflake as the cloud data warehouse, and Apache Airflow (via Astronomer Cosmos) for orchestration.

This project focuses on building a modern data warehouse on snowflake using SQL . It includes ELT processes, star_schema data modeling and analytics.

Data Engineer Project for TPC-H Retail Data using snowflake as cloud warehouse and dbt (data build tool) as transformation framework for an ELT pipeline