# Data Engineer Professional

> Build the pipelines the whole stack stands on.

Bicycle Guide reconciles the best books on a topic into one sourced guide and shows where they disagree.

Categories below are subject shelves: each groups guides that answer one kind of work or life problem. A guide's link points at its canonical home, which may be a persona front rather than this domain.

Data engineering is where analytics and AI live or die, and the canon is scattered across a dozen sub-specialties. This is the travel-guide version: we read the best books on data-intensive systems, streaming, warehousing, and the modern data stack, marked every stop worth making, and stayed honest about the trade-offs — grounded in research, made to stick.

Every guide linked below has a main guide free to read. Some clearly mark additional paid sections, tools and downloads. Guide pages include source information. Links point at each guide's own canonical home, which is not always this domain.

## Data, AI & Engineering
- [The Bicycle Guide to Build the Data Platforms Everything Stands On](https://dataengineerprofessional.com/guides/data-engineering): Pipeline & System Reliability becomes something you produce by design, not by luck.

## Disagreements
- [Where the books disagree](https://dataengineerprofessional.com/disagreements): 1 named disagreements with cited books on both sides — tension name, poles, and sources only.

## Books
- [Book library](https://dataengineerprofessional.com/books): the source corpus every guide cites, browsable by subject.

## More
- [Full guide index](https://dataengineerprofessional.com/guides): every guide this site serves, organized by shelf.
- [Sitemap](https://dataengineerprofessional.com/sitemap.xml): every URL on this site, for a complete crawl.
- [MCP server](https://dataengineerprofessional.com/mcp): remote Model Context Protocol access to the guide registry, taxonomy and capability spine — read-only, no auth required. Also served at https://dataengineerprofessional.com/api/mcp.
- [MCP well-known descriptor](https://dataengineerprofessional.com/.well-known/mcp.json): the same transport + tool list as machine-readable JSON, for a probe that checks .well-known before opening a session.
- [OpenAPI](https://dataengineerprofessional.com/openapi.json): the same registry as a REST machine-readable spec.