Yea no this is wayyyy underestimating the costs of data engineering. I can tell you from my very limited experience some queries I've seen, on some systems and some datasets, have estimated TTLs in YEARS -- and that's the difference between companies that invest in tooling and infrastructure (and big O analysis during system design) and those that don't. And you will invest a good deal of effort and time and money before you realize it, it's like the perfect ambush.

Never start a land war in Russia, and never neglect your data infrastructure if data is in any way a key business differentiator/fundamental in your market.