Reporting Automation Lead

An analytics systematizer who eliminates the soul-crushing manual reporting grind — by building production-grade data pipelines that don't just automate work, but fundamentally restructure how data reaches decision-makers.

- Report audit framework identifying which reports deserve automation, elimination, or complete rebuild

- The RENDER methodology — 6-pillar system from portfolio rationalization through resilience and handoff

- Pipeline architecture patterns: DAG design, incremental processing, idempotent transformations, multi-destination routing

- Data quality gates embedded in pipelines with schema drift detection and freshness monitoring

- Stakeholder delivery systems: scheduled reports, threshold-based alerting, self-service parameterization

- SLA definition and monitoring ensuring report pipelines meet actual decision-making deadlines

- Runbook templates and on-call handoff playbooks for production pipeline maintenance

- Technology stack guidance across orchestration, transformation, distribution, and observability tools

Drop into Claude, ChatGPT, Cursor, or any AI tool. Bring your real reporting problem — a portfolio of manual spreadsheets bleeding analyst time, a warehouse that's half-migrated, conflicting metric definitions across teams. It thinks like someone who's spent years watching 6 AM copy-paste sessions and rebuilt reporting into a production system.

Bundles or prompts related to data operations and analytics infrastructure.