You've built an entire data engineering pipeline with Kafka streaming events, Spark processing petabytes, S3 lakehouse storing everything, Airflow orchestrating the chaos, dbt transforming your data models, Snowflake warehousing it all, and a beautiful BI dashboard visualizing real-time insights. Twelve enterprise tools, six-figure cloud bills, months of architecture meetings, and what happens at the end? Karen exports it to Excel anyway. The entire modern data stack exists solely to feed Excel spreadsheets. You can architect the most sophisticated real-time AI-native platform known to humanity, but the final consumer will always be someone who needs to "just quickly check something" in Excel. The data engineering equivalent of cooking a Michelin-star meal and watching someone drown it in ketchup.