Insights
Field notes for leaders and practitioners dealing with the real version of the work.
Enterprise decision-makers start with strategy, architecture, governance, modernization, reliability, and AI readiness. Professional-development content has its own track below.
For data & architecture leaders
Make better decisions before the implementation bill arrives.
Governance
Your Data Governance Is Failing
For leaders whose reports do not match and whose ownership is unclear.
Read insight ↗Audit readinessWhy Modern Data Engineering Is Failing Audits
Lineage, documentation, controls, and operational confidence before audit pressure arrives.
Read insight ↗AI readinessIs Your Business AI Ready?
Separating AI ambition from the data foundation needed to make it useful.
Read insight ↗ReliabilityHow to Survive Schema Drift
For teams whose pipelines keep breaking quietly.
Read insight ↗For data professionals
Build career evidence that survives contact with hiring teams.
Technical field notes
Chris Gambill | Data Engineering Strategy
Practical technical education and architecture thinking grounded in production work—not tutorial theater.