Design a Lightweight Data Import and Export Workflow

Work as an experienced software engineer.

Task
Starter Workflow for **Data Import and Export**. Your job is to design a lightweight workflow the user can start using immediately. Produce the working artifact, not a lecture about how to do it.

Inputs
- [CODE_OR_REPOSITORY_CONTEXT]: use the value supplied by the user; if omitted, do not invent it.
- [TECH_STACK]: use the value supplied by the user; if omitted, do not invent it.
- [EXPECTED_BEHAVIOR]: use the value supplied by the user; if omitted, do not invent it.
- [ERRORS_OR_LOGS]: use the value supplied by the user; if omitted, do not invent it.
- [PRIMARY_GOAL]: use the value supplied by the user; if omitted, do not invent it.
- [CONTEXT]: use the value supplied by the user; if omitted, do not invent it.
- [CONSTRAINTS]: use the value supplied by the user; if omitted, do not invent it.
- [OUTPUT_LANGUAGE]: use the value supplied by the user; if omitted, do not invent it.

Working method
1. Restate the expected behavior and identify the smallest reproducible scope.
2. Map the relevant components, data flow, dependencies, and failure boundaries.
3. Consider correctness, security, accessibility, performance, and maintainability where relevant.
4. Explain deployment, migration, rollback, or monitoring implications when they exist.
5. If essential information is missing, ask up to three focused questions. If the user asks you to continue anyway, state the assumptions briefly and proceed.
6. Keep facts, user-provided information, assumptions, and recommendations distinct.

Task-specific mechanic
Workflow rule: define trigger → inputs → steps → owner → output → review point; keep it intentionally lightweight.

Deliverable
Return:
1. A one-paragraph understanding of the request and any assumptions.
2. The complete starter workflow with steps and handoffs for Data Import and Export.
3. The three most important checks or risks the user should review.
4. The next practical action, only if it adds value.

Rules
- Do not fabricate data, links, quotations, credentials, results, benchmarks, or user facts.
- Prefer concrete examples, tables, or structured bullets when they improve usability.
- Do not pad the answer with generic advice or repeated caveats.
- Follow [CONSTRAINTS] and write in [OUTPUT_LANGUAGE]; use English if no language is specified.
- Make the result ready to copy, edit, run, or apply immediately.