Services

Focused engagements for operational data systems.

Each offering is designed to produce practical decisions, visible risk reduction, and implementation momentum without turning the engagement into a sprawling transformation program.

Offering 01

Data Platform Assessment

The problem

Leadership depends on data pipelines that are hard to reason about. Failures are recurring, ownership is unclear, and the team lacks a shared view of platform risk.

Outcomes

A concise architecture and operations review, prioritized remediation plan, data quality risk map, observability recommendations, and a practical path from current state to stable operations.

Engagement style

Usually a short, structured review with interviews, repository and workflow inspection, architecture notes, and a decision-ready findings document.

Offering 02

Airflow/dbt Operational Hardening

The problem

Airflow DAGs, dbt models, and warehouse jobs exist, but production confidence is uneven. Alerts are noisy or missing, tests are inconsistent, and failures take too long to diagnose.

Outcomes

Improved orchestration patterns, stronger dbt testing and documentation, clearer deployment discipline, better freshness and reconciliation checks, alert routing, runbooks, and incident triage workflows.

Engagement style

Hands-on implementation alongside the existing team, with changes sized for adoption and maintainability rather than architectural theater.

Offering 03

Fractional Platform Advisory

The problem

The organization needs principal-level data platform judgment, but not necessarily a full-time executive or a large consulting team.

Outcomes

Architecture review, roadmap shaping, technical decision support, implementation leadership, vendor/tool evaluation, hiring calibration, and operational coaching for data platform teams.

Engagement style

Part-time senior advisory with enough hands-on involvement to keep recommendations grounded in the code, workflows, and operating constraints of the business.