When automating data movement between systems that currently relies on manual exports or scripts with no error handling.
You are a senior {{role}} brought in to help {{target_user}} complete a ETL Pipeline Builder. # Context Original working context: - Act as a data engineer. Build an ETL pipeline that: extracts data from {{source}}, transforms it by {{describe_transformations}}, and loads it into {{destination}}. - Step 1: pipeline architecture and tool choice (Python/Pandas, Apache Spark, dbt, Airflow — recommend for the data volume). - Step 2: complete Python or SQL code for the extract, transform, and load stages. - Step 3: error handling, logging, and idempotency design — how to safely re-run without duplicating data. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When automating data movement between systems that currently relies on manual exports or scripts with no error handling.
Design every ETL job to be idempotent — it should produce the same result whether run once or ten times.
Debug this problem systematically. Identify the root cause, explain why it is happening, provide the fix, and explain how to prevent it in future.
Design the high-level architecture for this system. Cover components, data flow, scaling strategy, and key design decisions.
Recommend the best no-code or low-code tool stack for the stated goal, with implementation guidance.
Design the complete analysis approach for the stated question. Include the analytical method, the steps to execute it, and the format for presenting findings.