Data Engineering Roadmaps
Structured learning paths to guide your data engineering journey. Choose the roadmap that best fits your goals and experience level.
Master Data Engineering with Expert-Designed Roadmaps
Our comprehensive roadmaps are designed by industry experts to take you from beginner to advanced data engineer. Each roadmap includes hands-on projects, real-world scenarios, and the latest industry best practices.
What You'll Master:
- • Data Pipeline Architecture & Design
- • Stream Processing with Apache Kafka
- • Big Data Processing with Apache Spark
- • Workflow Orchestration with Apache Airflow
Technologies Covered:
- • SQL & Database Optimization
- • Python for Data Engineering
- • dbt for Data Transformation
- • Cloud Platforms (AWS, GCP, Azure)
🚀 Startup Stack Roadmap
Build a scalable, cost-effective data stack using modern open-source tools and serverless architecture.
🧱 Modern Data Stack Roadmap
Master the core tools used in modern data teams — from containerization to dbt, BigQuery, and Kafka. Build real projects and get job-ready.
Data Engineer Roadmap 2026: From Zero to Job-Ready (Step-by-Step)
A free, step-by-step data engineering roadmap for 2026. Learn SQL, Python, ETL, cloud fundamentals, dbt, Airflow and Docker through 51 hands-on tasks and build the projects you need to land your first data engineer job.
Data Analyst Roadmap 2026: From Zero to Job-Ready
A free, step-by-step data analyst roadmap for 2026. SQL, Excel, Power BI, Tableau, Python, statistics, dbt, GA4, and the portfolio + interview prep you need to land your first or second analyst role.
AI Engineer Roadmap 2026: From LLM APIs to Production (Step-by-Step)
A free, step-by-step AI engineering roadmap for 2026. Learn to build applications on foundation models: transformers, prompt engineering, evaluation, RAG, agents, finetuning, and production deployment. Grounded in Chip Huyen's AI Engineering, Stanford CS336, and MIT 6.S191, with hands-on RAG, agent, and evaluation projects to build the portfolio that lands an AI engineer job.