← Back to Learning HubData Engineering:
🏗️ Complete Data Engineering Curriculum
Data Engineering:
Pipelines to Production
55 comprehensive lessons — from SQL foundations to Spark, Kafka, Airflow, Snowflake, dbt, and cloud-scale systems. All free, all practical.
55
Lessons
4
Modules
40+
Hours
300+
Code Examples
AirflowSparkKafkaSnowflakedbtBigQueryRedshiftDockerTerraform
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Module 1: Foundations
15 lessons
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What is Data Engineering — Complete Introduction
Open lesson →Data Engineering vs Data Science vs Analytics
Open lesson →The Data Lifecycle: Ingestion to Insight
Open lesson →SQL Fundamentals for Data Engineers
Open lesson →Advanced SQL: Window Functions, CTEs, Optimization
Open lesson →Python for Data Engineers: Essential Toolkit
Open lesson →Command Line & Shell Scripting
Open lesson →Version Control: Git for Data Teams
Open lesson →Database Fundamentals: Relational vs NoSQL
Open lesson →Data Modeling Basics: ERD, Normalization
Open lesson →Cloud Platforms: AWS vs GCP vs Azure for DE
Open lesson →Docker for Data Engineers
Open lesson →Linux & Networking Essentials
Open lesson →Data Formats: JSON, Parquet, Avro, ORC
Open lesson →Project 1: Build Your First Data Pipeline
Open lesson →⚙️
Module 2: Pipelines & Orchestration
15 lessons
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ETL vs ELT: Choosing the Right Approach
Open lesson →Apache Airflow: DAGs, Operators, Scheduling
Open lesson →Airflow Advanced: XComs, Sensors, Hooks
Open lesson →Apache Kafka: Topics, Producers, Consumers
Open lesson →Kafka Streams & Event-Driven Architecture
Open lesson →Apache Spark: RDDs, DataFrames, SparkSQL
Open lesson →Spark Streaming & Structured Streaming
Open lesson →Batch vs Streaming Processing Patterns
Open lesson →Data Ingestion Patterns: APIs, CDC, Webhooks
Open lesson →Data Quality & Validation: Great Expectations
Open lesson →Data Testing: Unit Tests for Pipelines
Open lesson →Pipeline Monitoring & Observability
Open lesson →Error Handling, Retries & Dead Letter Queues
Open lesson →Prefect & Modern Orchestration
Open lesson →Project 2: Real-Time Streaming Pipeline
Open lesson →Advertisement
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Module 3: Data Warehouses & Storage
12 lessons
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Data Warehouse Concepts: Star Schema, Snowflake
Open lesson →Snowflake: Architecture, Warehouses, Databases
Open lesson →Snowflake Advanced: Streams, Tasks, Time Travel
Open lesson →Google BigQuery: Architecture & Query Optimization
Open lesson →Amazon Redshift: Distribution, Sort Keys
Open lesson →dbt Fundamentals: Models, Tests, Documentation
Open lesson →dbt Advanced: Macros, Packages, Snapshots
Open lesson →Data Lake Architecture: S3, GCS, ADLS
Open lesson →Delta Lake & Apache Iceberg: ACID on Data Lakes
Open lesson →Data Lakehouse Architecture
Open lesson →Partitioning, Indexing & Query Performance
Open lesson →Project 3: Build a Production Data Warehouse
Open lesson →🚀
Module 4: Advanced DE & Career
13 lessons
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Data Mesh Architecture & Domain-Oriented Design
Open lesson →Data Governance & Data Catalogs
Open lesson →Data Security, GDPR & Compliance
Open lesson →Cloud Cost Optimization for Data Teams
Open lesson →MLOps for Data Engineers: Feature Stores
Open lesson →Real-Time Analytics: Pinot, Druid, ClickHouse
Open lesson →Data Contracts & Schema Evolution
Open lesson →Infrastructure as Code: Terraform for DE
Open lesson →CI/CD for Data Pipelines
Open lesson →Advanced Performance Optimization Patterns
Open lesson →Data Engineering Interview Preparation
Open lesson →Building a DE Portfolio & GitHub
Open lesson →Capstone: End-to-End Data Platform
Open lesson →Ready to Become a Data Engineer?
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