How we research and review.

Who writes this

Data Science & Engineering Experts is a small, senior-only firm of practitioners who build and ship production AI, data, and security systems for mid-market and federal clients. The Refinery Report is the writing arm of that practice. Posts are written by the people who scope and run engagements, not by a content desk or a freelance bench. The firm remains the publisher and stands behind every post; in B2B consulting, accountability belongs to the organization that does the work.

Since October 2026, posts carry a named byline where a single practitioner wrote and is accountable for the piece. We publish one profile, below, so a reader can check the author rather than take a pseudonym on trust. We still do not manufacture personal-brand personas, and the credibility signal we ask you to weigh remains the firm's track record: the systems we have shipped, the open work anyone can audit, and the standards described below.

What stands behind the writing

We would rather you check our work than take our word for it. The firm's proof points are public and verifiable:

• Databricks partner. DSE is a partner in the Databricks Consulting and Systems Integrator Partner Program, senior practitioners on Lakehouse, Unity Catalog governance, and Mosaic AI.
• Registered federal contractor. An active SAM.gov entity under NAICS 541330, 541511, 541512, and 541519, fluent in the NIST AI RMF and CMMC-aware.
• Public open-source work. We build and contribute in the open at github.com/DataScience-EngineeringExperts, production infrastructure templates, the MIT-licensed mcp-warden security gate, and merged upstream fixes to the data and AI libraries we depend on. See our open-source page for the merged pull requests, linked directly to the source.
• Shipped production systems. Case studies like PrivateStack document real engagements (architecture, timeline, and outcomes) on our selected work.

How a post is made

Every Refinery Report piece moves through the same path before it is published:

• Sourced from practice. Topics come from work we are actually doing (an engagement pattern, a recurring client failure mode, a tooling decision) or from primary sources we can cite. We link to the underlying research, standards, and vendor documentation rather than paraphrasing second-hand summaries.
• Drafted by a practitioner. The person who understands the system writes the first draft. We write in plain language, name the trade-offs, and avoid the "Top 10 AI Trends" genre. Numbers and prices we publish are real and current; we do not invent figures.
• Reviewed before publishing. A second senior practitioner reads each piece for technical accuracy and for claims that could mislead. Anything we cannot stand behind on request comes out. Security and governance language stays careful: we say "readiness," never "compliant" or "certified," because those are determinations an auditor makes, not us.
• Dated and revised. Each post carries a published date and a reviewed date. When a piece materially changes (a correction, a regulatory update, a revised number) we update the reviewed date so you can see how current the analysis is.

Corrections and citation

If something here is wrong, we want to fix it. Send corrections to contact@thedataexperts.us and we will review and, where warranted, update the piece and its reviewed date. Short attributed quotes are welcome; bulk reproduction requires written permission. Our full machine-readable summary lives at /llms.txt for AI crawlers and answer engines.

A note on authorship: the firm is the publisher of record, and a post carries a named byline only where the profile above wrote it. Where a specific credential is relevant to a claim, it is stated on the page that makes the claim, never implied through an invented persona. The standards on this page apply to every piece in the Refinery Report.