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 Data Stack Roadmap

    Build a scalable, cost-effective data stack using modern open-source tools and serverless architecture.

    Beginner to Intermediate

    8 sections • 31 tasks

    Comprehensive step-by-step learning path

    Learn: SQL, Data modeling, Python & more

    Tools: DuckDB, Polars, Metabase & more

    🧱 Modern Data Stack Data Engineer Roadmap

    Master the core tools used in modern data teams — from containerization to dbt, BigQuery, and Kafka. Build real projects and get job-ready.

    Intermediate

    9 sections • 34 tasks

    Comprehensive step-by-step learning path

    Learn: Cloud infrastructure, SQL & analytics engineering, ETL & orchestration & more

    Tools: Docker, Terraform, Airflow & more