Data Engineering

Pumpkin

Data Engineer Agent — governed execution.

Pumpkin executes scoped data engineering work — Jira intake to review-ready pull request — under approval gates, short-lived credentials, and audit-grade evidence.

Pumpkin

Ticket to governed PR

PR-native
1

Ticket parsed

DATA-1842, dbt model + tests

2

Policy checked

Scope valid, prod writes blocked

3

Plan approved

6 steps, rollback attached

4

PR opened

Branch qn/data-1842, CI running

Pull requestchecks running

Overview

Pumpkin translates approved Jira tickets into deterministic plans and review-ready pull requests — without bypassing your change-control process.

    Executes only inside the approved ticket scope and repository surface

    Ships through the same PR, reviewer, and CI workflow your team already uses

    Records scope, plan, validators, approval, and outputs for audit

Workflow

Every task flows through explicit gates before it reaches production.

Jira
Plan
Approval
Branch
PR
CI/CD

Role-bound validation

Pumpkin rejects tasks that exceed approved scope or violate policy constraints.

Pre-execution scope validation

Template-constrained task planning

Out-of-scope rejection with clear reasons

Security & Access

Execution is performed with short-lived credentials and least-privilege boundaries.

Ephemeral credential sessions

Scoped permissions per run

Automatic credential expiration

Integrations

Pumpkin plugs into the systems your team already uses.

Jira

Issue intake, status updates, and context retrieval.

GitHub

Branching, pull requests, checks, and merge workflows.

AWS

Scoped role assumption with short-lived access tokens.