🏗️ Data Engineering

Master the art of building scalable, reliable, and efficient data systems. This section covers core technologies and patterns used in modern data engineering.

📚 Core Topics

#### 🌪️ Apache Airflow **[→ Read Full Guide](./Airflow/intro-to-airflow.html)** The industry standard for production workflow orchestration. Define, schedule, and monitor complex data pipelines as code. #### 🌊 Apache Kafka **[→ Read Full Guide](./Kafka/index.html)** Building real-time data pipelines and streaming applications. Understanding brokers, topics, producers, and consumers. #### 🛠️ Scala for Data Engineers **[→ Read Full Guide](./Scala/index.html)** Mastering functional programming and type-safe development for high-performance data processing. #### 📊 Data Structures **[→ Read Full Guide](./Data-Structure/index.html)** Fundamental algorithms and data structures optimized for large-scale data manipulation.

🎯 Learning Path

  1. Fundamentals: Data Structures
  2. Logic & Programming: Scala
  3. Orchestration: Apache Airflow
  4. Streaming: Apache Kafka

Last Updated: April 2026 Status: Active 🟢