Data Engineering
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10 lessons3 levels1 capstone project
Build reliable batch and streaming pipelines, models, transformations, and quality controls.
BASIC
- Data Engineer Roadmap 2026 — Codebasics (25 min selected)
Maps the skills and technologies before you dive into details. - Star Schema / Dimensional Modeling (17 min)
High-value modeling foundation for analytics systems. - Apache Kafka Fundamentals — Confluent (30 min selected)
Fast introduction to event streaming and distributed data movement.
INTERMEDIATE
- Databricks ? How to Build a Cloud Data Platform Modern Data Stack references Modern Data Stack references
A deeper treatment of the same skill; use it to move from concept to working patterns. - End-to-End Data Engineering Project — Realtime Data Streaming
Apply Data Engineering through the adjacent capability: Data Pipelines, Orchestration & Streaming. - Realtime Logs Processing with Airflow and Kafka
Apply Data Engineering through the adjacent capability: Data Pipelines, Orchestration & Streaming.
ADVANCED
- Airflow, Databricks, Kubernetes — Build a Data Platform from Scratch
Extend Data Engineering into senior/production practice through Data Pipelines, Orchestration & Streaming. - Full Walkthrough — GCP, Kafka, PySpark, Airflow
Extend Data Engineering into senior/production practice through Data Pipelines, Orchestration & Streaming. - Create a Lakehouse, Ingest Data and Build a Report
Extend Data Engineering into senior/production practice through Data Modeling, Warehousing & Lakehouse.