Welcome to the Data Engineering Roadmap! This guide aims to help you navigate the vast landscape of data engineering by providing a structured learning path and highlighting key concepts and tools along the way.

The roadmap covers various tools and technologies that are essential for a data engineer, including:

• ETL (Extract, Transform, Load): Apache Spark, Apache Beam, Airflow
• Data Warehousing: Amazon Redshift, Google BigQuery, Snowflake
• Databases: PostgreSQL, MySQL, MongoDB
• Stream Processing: Apache Kafka, Apache Flink, AWS Kinesis
• Data Modeling: Apache Hive, Apache Cassandra, Apache HBase

For an interactive version of this roadmap, please check out the Interactive Data Engineering Roadmap where you can explore each stage in more detail.

Now that you have an overview of the roadmap, it's time to embark on your data engineering journey! Each stage on the roadmap will provide you with specific goals, resources, and projects to help you progress.

Feel free to contribute to this roadmap by creating pull requests or suggesting improvements. Let's together shape the future of data engineering! 🤝