Infrastructure
Asking small decision models (Jev + Laya) about first names
Thousands of contacts without salutation, and a model that has to guess from a first name alone.
Strategy, engineering, privacy, modeling, visualization, analysis, ML, AI. Sprinkle some product ownership on top and you got a jack-of-all-trades decision-enabler 😎
Infrastructure
Thousands of contacts without salutation, and a model that has to guess from a first name alone.
Infrastructure
A Snowflake Cortex Agent for dltHub jobs
Infrastructure
dltHub's AI harness writes the pipeline, Snowflake's CoCo takes over after data landed. Together they ✨
Infrastructure
Hand-written patterns decided which Salesforce errors were noise. Now a classifier does it, and it says how sure it is.
Lakehouse
Cortex Code's model default? Turns out it's just a CREATE AGENT statement away.
Lakehouse
200 users, zero curation, and a bootstrap grant I didn’t ask for.
Infrastructure
A watchdog to keep all dlt pipelines in line
Infrastructure
Nobody documents dozens of tables with hundreds of columns by hand. So an agent does it, INFORMATION_SCHEMA keeps it honest, and Teams pings when a source API adds a column
Lakehouse
Masking decides what you can see. Data movement policies decide what you can take.
Infrastructure
dltHub ships Slack and email alerts out of the box. My org runs on Teams, so I built the third one myself and wired it into all ~70 pipelines with one decorator shadow.
Infrastructure
Re-using shared patterns in a dlt workspace
Infrastructure
LinkedIn's Marketing API needs a browser to authorize. Scheduled pipelines don't have browsers. I store the refresh token in Snowflake.