Thanks for sharing your thoughts, this article is wonderful and thoughtfull.

I had one question though,
I've been actively using Python, Airflow, Git,redshift and AWS to build data pipelines, and we've achieved some amazing results. Given my current toolkit and accomplishments, I'm curious about the evolving landscape of data engineering. How important do you think it is for data engineers to have a deep understanding of traditional technologies like Hadoop, Hive, and HDFS today, considering that I've found success using modern tools and cloud platforms?