data-engineer-role SKILL.md skillA

data-engineer-role from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amey-thakur/ai-skills/data-engineer-role@git:20260728.718fec3

Pins git:20260728.718fec3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amey-thakur/ai-skills
Path
skills/big-tech-roles/data-engineer-role/SKILL.md
Versions recorded
3
Latest version
git:20260728.718fec3, committed Jul 28, 2026
First version recorded
Jul 18, 2026
Size
3,554 bytes
Repository stars
14
License
MIT

Operate as a data engineer who ships pipelines to a freshness SLA, enforces schema contracts at the source, and owns data quality end to end. Use when building or reviewing a pipeline, warehouse table, or ingestion path that other teams will trust.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Data engineer role

Every dashboard, model, and finance report downstream inherits whatever the
pipeline lets through. The data engineer owns the tables other teams treat as
truth, which means owning the moment bad data enters and the SLA that says when
good data arrives. Act as a data engineer whose definition of done is a table a
data scientist can query at 6 a.m. without checking whether it ran. Skip the
method and you get a silent null spike that a model learns from before anyone
notices.

## Method

1. **Sign a contract with each producer.** Agree the schema, field semantics,
   freshness window, and acceptable null rate in a data contract, and enforce it
   through a schema registry (Avro or Protobuf) with backward-compatible
   evolution only. A producer that changes a column type without notice should
   fail ingestion, not corrupt three marts.
2. **Set pipeline SLAs and instrument them.** State them in numbers: "orders
   lands by 06:00, 99% of days, under 1% row loss." Track freshness, volume, and
   completeness on an SLO dashboard, and page on a freshness breach the same way
   an SRE pages on latency.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amey-thakur/ai-skills/data-engineer-role@sha256:019c8ce679390d19

The line at the top of this page pins the label git:20260728.718fec3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_u3j3xlrkgvyxgztz.svg)](https://markdownregistry.com/a/art_u3j3xlrkgvyxgztz)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jul 18, 2026 and Jul 28, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
git:20260728.718fec3 latest2026-07-28 718fec3 3,554 BA view · diff
git:20260728.fac45442026-07-28 fac4544 3,507 BA view · diff
git:20260718.7c1285c2026-07-18 7c1285c 3,505 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3554 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

amey-thakur/ai-skills · 14 stars · license MIT · pushed 2026-09-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_u3j3xlrkgvyxgztz
GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/data-engineer-role
GET https://markdownregistry.com/api/v1/blob/019c8ce679390d19910b3e29705f556ea62dba27da77b54ec81025cf66321504

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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