senior-data-engineer SKILL.md skillA

senior-data-engineer from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add borghei/claude-skills/senior-data-engineer@v1.2.0

Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
borghei/claude-skills
Path
engineering/senior-data-engineer/SKILL.md
Versions recorded
5
Latest version
v1.2.0, committed Jun 22, 2026
First version recorded
Mar 30, 2026
Size
5,530 bytes
Repository stars
1,075
License
a license file GitHub does not identify

Data engineering for batch and streaming pipelines with Airflow, dbt, Spark, and Kafka. Use when designing data architectures, building pipelines, adding data-quality checks, optimizing ETL/ELT, or troubleshooting pipeline failures.

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

# Senior Data Engineer

Generate pipeline configurations (Airflow, Prefect, Dagster), validate data quality with profiling and anomaly detection, and optimize SQL/Spark performance with actionable recommendations.

## Core Capabilities

- **Pipeline generation** — Airflow/Prefect/Dagster DAG code for batch and incremental loads, with DAG validation.
- **Data quality** — schema validation, profiling, anomaly detection, data contracts, and Great Expectations suite generation.
- **ETL/ELT optimization** — SQL and Spark analysis, partition strategy, and query cost estimation per warehouse.
- **Architecture decisions** — batch vs streaming and warehouse vs lakehouse trade-off frameworks.
- **Reliability patterns** — incremental watermarks, dead letter queues, freshness checks, and schema-drift detection.

## When to Use

- Designing a data architecture or choosing batch vs streaming / warehouse vs lakehouse.
- Building or generating Airflow/Spark/dbt pipelines.
- Adding data-quality checks or data contracts.
- Optimizing slow ETL/ELT queries or troubleshooting pipeline failures.

## Clarify First
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add borghei/claude-skills/senior-data-engineer@sha256:0dbfd44b3a560890

The line at the top of this page pins the label v1.2.0, 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_aumwn3fyd4kxxw4t.svg)](https://markdownregistry.com/a/art_aumwn3fyd4kxxw4t)

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

Versions

The registry has recorded 5 versions of this file, between Mar 30, 2026 and Jun 22, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
v1.2.0 latest2026-06-22 65b93aa 5,530 BA view · diff
v1.2.02026-06-17 8980a67 4,884 BA view · diff
v1.1.02026-06-17 0c19211 10,105 BA view · diff
v1.1.02026-04-02 d83e68b 10,200 BA view · diff
v1.0.02026-03-30 6b5a5d8 40,304 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 (5530 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

borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_aumwn3fyd4kxxw4t
GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/senior-data-engineer
GET https://markdownregistry.com/api/v1/blob/0dbfd44b3a560890c72b172bad5121dd532d22688aed792c4a6531fd840d6210

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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