Data Science & Analytics
Data Engineering Capstone Project
This course 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.
🔒
Included with Skilldacity Membership
About This Course
⌄
This course 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.
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
Skills You’ll Gain
⌄
Developer
Data Science
Database
Career Path
Data Science & Analytics
Provider
Skilldacity
Level
Advanced
Certification
No certification associated
Access
Included with eligible Skilldacity subscription
Ready to advance your career?
Join Skilldacity today and get unlimited access to this course and hundreds more.