Michael Irvine

@mjirv.bsky.social

senior horse and buggy engineer

I’m happy about the dbt/Fivetran merger. Ultimately, it’s better for the data community to have one big ETL company headed (hopefully) towards an IPO rather than two smaller ones stumbling along, hoping Databricks or Snowflake finally decide to acquire them.

the problem with being a data vendor is you only get to play with the shiny toys you’re building, not everyone else’s. super pumped to be back to being a practitioner soon 😀

Cube did a reorganization, which sadly eliminated my role from the company as a solutions engineer in pre-sales. I am open to work in solutions engineering, devrel, product marketing, and possibly other roles. DM if you have interest or roles that you could refer me to.

lots of people on LinkedIn etc ragging on dbt Fusion but from what i can tell, it’s mostly vendors worried that dbt just killed their strategy of reselling dbt core careful who you listen to out there, folks

if i were angel investing right now, my strategy would be to invest in anyone who’s totally ignoring AI there’s alpha in just building good old-fashioned products that solve users’ problems!

i’ve noticed there’s a gap between how excited SWEs and data people are about AI. not sure what explains it. poor experiences with text-to-sql tools? concerns about being replaced?

you hear a lot of people compare the AI labs to cloud providers like “openai is the next aws” but i wonder if the cloud data warehouses are a better comparison is openai actually just the next snowflake?