amee-joshi-data-engineering-portfolio — Claude Code skill for Azure data
A reference skill with Azure data engineering examples: Bronze–Silver–Gold layers, Delta Lake, dimensional models and pipeline designs.
npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a claude-codeWhat amee-joshi-data-engineering-portfolio does
The skill hands your agent a set of worked patterns for cloud data platforms. It covers Medallion architecture on Delta Lake, a metadata-driven ingestion framework, a star schema in SQL Server and BI reporting examples. Ask the agent to sketch a pipeline layout or lakehouse layers and it works from these samples instead of inventing a structure.
Three projects carry the material: a retail lakehouse on Azure Databricks, configuration-based loading through Azure Data Factory, and a warehouse built on a star schema. The details are concrete — metadata columns added during Bronze ingestion, cleansing and deduplication in Silver, SCD Type 2 handled by a Delta merge, SCD Type 1 by SQL MERGE. Treat it as a reference, not a library. The code assumes PySpark, Delta Lake and Azure services, and it will not run without them.
Handy when you want to check your layer split against a working example or explain an incremental loader to a teammate. On a stack outside Azure or without Databricks you will rewrite the samples — copying them as-is does not carry over.
What it helps with
- split a pipeline into Bronze, Silver and Gold layers
- set up incremental loading from SQL Server on a watermark column
- write SCD Type 2 logic for a Delta dimension table
- design a star schema for a SQL Server warehouse
- show a data engineering project layout as a worked example
Example prompts for the agent
- Show me a Medallion architecture example for a Databricks retail lakehouse
- How do I implement SCD Type 2 in a Delta table with merge?
- Build the config for incremental ingestion of the orders table from SQL Server
How to install amee-joshi-data-engineering-portfolio
1Skills CLI (Vercel)
npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a claude-code2Manually: put the files in place
~/.claude/skills/amee-joshi-data-engineering-portfolio/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/amee-joshi-data-engineering-portfolio/
1Skills CLI (Vercel)
npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a codex2Manually: put the files in place
.agents/skills/amee-joshi-data-engineering-portfolio/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a cursor2Manually: put the files in place
.cursor/skills/amee-joshi-data-engineering-portfolio/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install reason-machines/data-skills amee-joshi-data-engineering-portfolio2Manually: put the files in place
.github/skills/amee-joshi-data-engineering-portfolio/SKILL.md1Skills CLI (Vercel)
npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a gemini-cli2Platform CLI
gemini skills install https://github.com/reason-machines/data-skills --path skills/amee-joshi-data-engineering-portfolioManually: put the files in place
.devin/skills/amee-joshi-data-engineering-portfolio/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about amee-joshi-data-engineering-portfolio
How do I install amee-joshi-data-engineering-portfolio in Claude Code?
Run npx skills add reason-machines/data-skills --skill amee-joshi-data-engineering-portfolio -a claude-code. The skill lands in ~/.claude/skills/amee-joshi-data-engineering-portfolio/SKILL.md.
What does amee-joshi-data-engineering-portfolio do?
It gives the agent reference examples of data engineering work: Medallion architecture, Azure Data Factory ingestion, dimensional modeling and analytics-ready datasets.
What stack does this skill assume?
The samples rely on Azure services, Databricks, Delta Lake and SQL Server, with Power BI and Tableau on the reporting side. Outside that stack the example code will not run.