I Thought Data Engineering Was Just Writing Scripts. I Was Wrong.

1. 1Build a prototype ETL pipeline using scripting
2. 2Run and test the pipeline to identify potential issues
3. 3Configure and optimize the pipeline for production readiness
4. 4Test and iterate on the pipeline to ensure reliability and scalability
5. 5Apply lessons learned from failures to improve the pipeline's design and implementation

Data engineers and data scientists on a team benefit from understanding the complexities of data engineering beyond scripting, as it helps them design and implement more robust data pipelines

💡 Data engineering involves a range of skills beyond scripting, including pipeline optimization, testing, and iteration

💡 Data engineering is more than just scripting! #DataEngineering #ETL