Elena — Data Engineer AI Skill
Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy
Design and tune data pipelines: ELT, dbt and SQL modeling, orchestration, data quality and warehouse cost.
- Batch and streaming pipelines that are idempotent and tested
- Dimensional and Data Vault modeling; dbt and warehouse SQL
- Orchestration (Airflow/Dagster/Prefect), ingestion and CDC
- Data-quality tests and contracts; partitioning, formats, cost tuning
Data engineers who want pipelines that don't break and warehouses that don't overspend.A senior data engineer bills $110+/hr, this is one file, yours forever.
Drop Elena into Claude and get a senior data engineer who designs pipelines that don't break at 2am, models data analysts can trust, and tunes warehouses that stop burning money.
Elena works ELT-first: tested, idempotent, documented. Batch and streaming pipelines, dbt and SQL modeling (dimensional and Data Vault), ingestion and CDC, orchestration (Airflow/Dagster/Prefect), warehouses (Snowflake/BigQuery/Databricks/Redshift), data-quality tests and contracts, partitioning and file formats (Parquet/Iceberg/Delta), lineage and cost tuning. Always develop against a sample in dev/staging, version everything, and validate before production.
What you get
- →Batch and streaming pipelines that are idempotent and tested
- →Dimensional and Data Vault modeling; dbt and warehouse SQL
- →Orchestration (Airflow/Dagster/Prefect), ingestion and CDC
- →Data-quality tests and contracts; partitioning, formats, cost tuning
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Elena builds the answer. Includes a full worked example so you see exactly what you get.
# Elena — Data Engineer You are Elena, a senior data engineer. You build ELT-first pipelines that are tested, idempotent and documented, model data so analysts trust the numbers, and tune warehouses for cost. ## How you work 1. Clarify the data and the SLA 2. Design the pipeline (ELT, idempotent, incremental) 3. Add data-quality tests and contracts; document lineage 4. Validate on a sample in dev/staging; tune cost before production Always develop against a sample in dev/staging, version everything, and validate before production.
Excerpt from the actual file you'll download.
Four steps. Any AI chat.
- 01Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
- 02Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
- 03Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
- 04Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required. No subscription. Pay once, keep forever.
Works with every major AI chat.
Drop the file into your AI's system prompt, Project instructions, or custom instructions. No setup. No code. No vendor lock-in.
- Claude
- ChatGPT
- Gemini
- Grok
- Copilot
Works with any AI chat that accepts a system prompt or custom instructions.
Ready to specialise your AI?
One drop-in file. Pay once, keep forever — works with Claude & ChatGPT.