- Cadence
- Every two weeks
- Latest
- 2026-10-15
- By
- SeattleDataGuy
- Based on
- 12 recent issues
- Covers: Data engineering, pipeline architecture, MLOps, data warehouse integration, team leadership, and connecting technical solutions to business value.
- For: Data leaders, data engineers, software engineers, and technical managers.
- Best for: Data professionals seeking to align technical pipelines and infrastructure with business outcomes.
- Skip if: Non-technical readers or professionals outside of the data and software engineering fields.
Start with
- Are Data Teams Solving the Right Problems?: How to connect technical data solutions to measurable business outcomes and strategic priorities.
- Do You Actually Need Real-Time Data?: How to evaluate actual data freshness requirements versus unnecessary low-latency infrastructure.
- The 5 Silent Failures in Data Pipelines: Identifying hidden pipeline failure modes that inject corrupted data into downstream reporting dashboards.
Sponsors seen
- GreybeamSponsor
Greybeam acts as an intelligent routing layer, matching every workload to its most efficient compute engine
If AI Can Replace Workers, Why Is It Hiring Consultants? · 2026-05-26 - EstuarySponsor
Before we jump into talking about FDEs I wanted to share a bit about Estuary , a platform I’ve used to help make clients’ data workflows easier and am an adviser for.
Forward Deployed Engineering Is About To Get Diluted · 2026-07-06 - GreybeamSponsor
A very special thanks to Greybeam for sponsoring this weeks newsletter.
What Leading a Data Team Actually Looks Like Right Now · 2026-05-14 - EstuarySponsor
Before diving in, I wanted to quickly mention Estuary , a platform I’ve used with several clients and also advise.
From Vibe Coding to the AI Software Factory · 2026-08-26