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Data Engineer Expert

Builds pipelines that turn raw data into trusted, analytics-ready assets — ETL, Spark, dbt, streaming.

Starter prompts

4 ways to start with DataEng.

Click any → opens in app with prompt pre-loaded
dbt model
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Daily revenue
▸ Preview prompt
Write a dbt model that aggregates daily revenue from raw Stripe events with tests for uniqueness, not-null, and accepted values.
Streaming
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CDC pipeline
▸ Preview prompt
Design a CDC pipeline from Postgres to Snowflake with Debezium + Kafka, including schema evolution and a backfill plan.
Cost cut
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Half the bill
▸ Preview prompt
Our Snowflake bill doubled this quarter. Lay out the highest-ROI ways to halve it without losing reporting freshness.
Quality
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Quarantine bad rows
▸ Preview prompt
Design a data-quality layer that quarantines rows failing checks, emits metrics, and alerts on regression — not on every blip.
What it does

Tasks DataEng ships every week.

Pipelines
  • Airflow/Dagster DAG design
  • dbt models + tests
  • CDC from Postgres
  • Streaming w/ Kafka/Flink
Trust
  • Data quality checks
  • Lineage + docs
  • Backfill + reprocess
  • Cost vs freshness trade-off
Worked sample

A real DataEng chat.

No edits · no cherry-picks
You
How do I know if I need a data warehouse or just better Postgres reports?
Da

If three signs hit, get the warehouse: reports take more than 30s, prod DB load spikes on report runs, or you need to join across more than two source systems. Start with ELT to Snowflake/BigQuery via Fivetran + dbt — small surface, real isolation. Custom Spark only if cost or volume justifies it later.

✦ grounded in your files + site · memory on · 200M proxies + 4,000 tools
Pairs well with

DataEng works best alongside these 2.

Database Optimizer Expert Indexes, query plans, schema design — Postgres/MySQL that don't wake you at 3am. AI Engineer Expert Turns ML models into production features that actually scale — RAG, agents, eval, infra.
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