Notes on dataarchitecture.
Short essays on architecture, cost, hiring and AI: one cartoon, one idea, most days of the week. No tutorials, no listicles.
The Temporary Pipe That Stayed
A "temporary" sync script ran for 18 months. It was quietly eating 20% of the compute bill.
Read →Phoenix Project Lessons For DE
The Phoenix Project is 13 years old. Data teams still run their backlogs the way it warns against.
Read →Team Complexity Post-MVP
By 20 engineers, most data teams have one person every change waits on. The backlog put them there.
Read →Too Deep Into Snowflake" Is an Architecture Smell
You can measure architecture health by the price of an exit. For one stack I reviewed, it was 18 months.
Read →Brooks Law In Data Hires
A scaleup added 3 data engineers to catch up. Delivery got slower for 2 months.
Read →Data Reliability Over AI Speed
A plain statistical baseline caught model drift before any human would have. It took an afternoon to build.
Read →Pipeline Replay Decision Tree
Most pipelines are designed for the happy path. The first real outage makes recovery the only thing that matters.
Read →Fractional For Stack Survival
A fintech founder asked me to sanity-check their data stack three weeks before a raise. It wouldn't have survived the investor's technical …
Read →75% Belgian SMEs On AI Daily
Three in four Belgian SMEs now use AI daily or weekly. Most are running it on data they wouldn't trust for a board report.
Read →Lakehouse Convergence Risks
The lakehouse pitch is one platform for raw files and clean tables. The trap is inheriting the data lake's oldest habit: land everything, …
Read →Want expert eyes on your data architecture?
No pitch. An honest conversation about whether I can help, and what shape it would take if I can.