Data Engineering Capstone Project
Data Engineering Capstone Project is an advanced, project-based course designed to help learners apply real-world data engineering skills by building a complete end-to-end data pipeline. This capstone experience brings together the core competencies of data ingestion, ETL/ELT processing, data modeling, storage optimization, and analytics delivery—allowing you to demonstrate mastery through a practical, portfolio-ready project.
Working with large, realistic datasets, you’ll design and implement workflows using modern data engineering tools and frameworks. You will learn how to architect scalable pipelines, transform raw data into usable formats, orchestrate processes, and deliver clean, reliable datasets for analytics, dashboards, and machine learning applications.
What You’ll Learn
Designing complete data engineering pipelines from ingestion to analytics output
Building ETL/ELT workflows for structured and semi-structured data
Working with cloud-based storage, databases, and data warehouses
Implementing batch and/or streaming data processing
Data modeling concepts, including star schemas and partitioning strategies
Using Python, SQL, and modern data engineering frameworks
Orchestrating pipelines using workflow automation tools
Ensuring data quality, validation, and reliability throughout the pipeline
Who This Course Is For
Aspiring data engineers preparing for real-world roles
Data analysts and scientists seeking hands-on engineering experience
Developers transitioning into data platform or pipeline engineering
Anyone building a professional portfolio project demonstrating end-to-end data pipeline skills
Course Outcomes
By the end of this course, you will be able to:
Architect and implement a complete, scalable data engineering workflow
Ingest, clean, transform, and store data for analytics and machine learning
Apply data modeling and optimization techniques for performance
Automate and orchestrate data pipelines using industry-standard tools
Produce a capstone project that showcases professional-level data engineering capabilities