E-commerce Data Engineering Project

Here's a glimpse into the project's core components:

Streamlined ETL Workflow: Leveraging Alteryx's capabilities, we established a seamless transition from CSV files to a structured SQL Server environment.

Data Quality Champions: Power Query Transformations: Stringent data transformations using Power Query ensured the integrity and quality of the data, laying the foundation for accurate analysis.

Building the Analytical Foundation: Data Modeling in SQL Server: A meticulously crafted data model, optimized for in-depth analysis, was built within SQL Server.

Unlocking Hidden Gems: SQL Analysis for Strategic Insights: Powerful SQL analysis techniques were employed to unearth valuable business intelligence, driving informed decision-making strategies.

Interactive Insights at Your Fingertips: An interactive dashboard, built with Power BI, empowers stakeholders to not only view but also explore data insights visually.

Project Achievements:

Efficiency Champion: Seamless ETL Process: Alteryx played a pivotal role in establishing a smooth and efficient data extraction, transformation, and loading process.

Data Quality Guardians: Robust Power Query Transformations: Meticulous Power Query transformations guaranteed high-quality data, ensuring accurate and reliable analysis.

Built to Scale: Scalable Data Modeling: The data model was designed with scalability in mind, adapting to future business requirements and growth.

Actionable Insights Delivered: SQL Server & Power BI Synergy: The combined strength of SQL Server and Power BI delivered strategic insights, enabling data-driven decision-making.

This project served as an invaluable platform to delve into the world of various data engineering tools and methodologies. The outcome is a solution that empowers informed decision-making within the e-commerce landscape, driving impactful results.

github repo :https://lnkd.in/e8GxrDCN