Email content

Maia Logo

Frank headshot (200 x 200 px)-2.png

Hello John,

Legacy ETL is quietly taxing your best hours. Whether it’s broken lineage, schema drift that breaks something overnight for no good reason, or hours wasted maintaining legacy jobs instead of working on what you’re excited about. We’re seeing data teams everywhere hit the exact same wall.

In this newsletter, I'm sharing a few resources to help break that cycle. Plus, a Great British Bake Off-style data competition I judged, putting Snowflake CoWork and Maia to the test.

Best,

Frank

Chief Product Officer, Maia by Matillion

Maia & Snowflake CoWork vs.

"The Mountain"

120 minutes on the clock.

Great British Bake Off-style data engineering competition.

Engineers from Maia and Snowflake take on the challenge.

Who will win? Watch now

Real-world ETL automations (not theoretical demos)

Join

Mastering Snowflake’s Adam Morton and CEO Chris Mihalicz for actionable workflow changes to automate complex ETL, reclaim your time, and learn what skills hiring managers actually look for post-AI.

Watch now

Stop spending hours on schema patches and pipeline chores

Use this 2-day task audit to analyze where

your hours go, isolate automatable data tasks, and make a case for spending time on work that actually matters. Find out now

800 legacy pipelines migrated, mid-acquisition.

See how Sophos did it

When Sophos, a global cybersecurity company, decided to migrate 800 legacy pipelines, they were also mid-acquisition.

A slow, risky migration wasn't an option, so they turned to Maia.

Read story

You’re invited! Live Workshop: Spend Less Time on Maintenance, More on Building

Join us for an in-person, zero-prep workshop to see how modern AI agents take the heavy lifting of pipeline creation and migration – without breaking your stack.

What you'll walk away with:

Incremental pipeline creation: Build multi-source data flows step-by-step tailored to your day-to-day stack.