Welcome to Data Unleashed, a multi-season learning series exploring Data Engineering from foundations to advanced cloud architectures.
This series is designed to help beginners and aspiring data engineers build practical skills through mini projects, code examples, and architecture diagrams.
But this series is also personal. I’m on my journey as a Junior/Associate Data Engineer and becoming an AWS Community Builder, actively learning, experimenting, and sharing my progress in public. My goal is to develop real-world skills, showcase projects, and contribute to the community, so that recruiters and mentors can see my growth and potential in the field of Data Engineering.
Each season contains multiple episodes, with step-by-step explanations, project code, and resources, all designed to take you from raw data to cloud-ready pipelines.
- To document my learning journey in Data Engineering
- To practice and showcase real-world projects using Python, SQL, AWS, dbt, Snowflake, Databricks, and modern tools
- To help beginners understand complex concepts through practical examples
- To share knowledge publicly, showing recruiters my initiative, curiosity, and technical growth
- To build a strong Data Engineering portfolio while preparing my application for the AWS Community Builders program, demonstrating my commitment to cloud technologies and the data engineering community
- Fundamentals of Data Engineering — Joe Reis
- Data Engineering with Python — Paul Crickard
- Data Engineering in AWS — Gareth Eagar
- Data Engineering Design Patterns — Bartosz Konieczny
- Official documentation for AWS, Snowflake, Databricks, Terraform, dbt
🌟 Series Overview Series Title: Data Unleashed Tagline: From Raw Data to Cloud Mastery — A Data Engineering Journey Audience: Beginners, aspiring data engineers, tech enthusiasts, and recruiters Platforms Covered: Python, SQL, AWS, dbt, Snowflake, Databricks, Terraform, and other modern tools