CatInCloud Labs

Defined engagements.
Predictable outcomes.

I don't sell open-ended consulting hours. I sell specific outcomes for teams running AWS + Snowflake + dbt stacks.

The Approach

Stabilization first, evolution second

Most teams are drowning in technical debt because they tried to build features before they built a foundation. My engagements are designed to fix the foundation first.

Whether we are auditing an existing mess or building a new capability, the goal is always the same: a system that is predictable, observable, and documented.

Sprint

The Platform Audit

A time-boxed review of your current stack to identify security risks, architectural bottlenecks, and reliability gaps.

  • Infrastructure Review: AWS networking, IAM roles, and encryption posture.
  • Data Logic Review: dbt model structure, test coverage, and DAG dependencies.
  • Deliverable: A prioritized roadmap outlining exactly what to fix and why.

Project

The Green-Field Build

For teams launching a new data capability. I architect and build the pipeline from source to dashboard, doing it right the first time.

  • Architecture: Private VPC design with MWAA and Snowflake PrivateLink.
  • Implementation: Ingestion scripts, dbt modeling (Bronze/Silver/Gold), and Airflow DAGs.
  • Handoff: Full documentation and a training session for your engineering team.

Retainer

Architectural Retainer

Ongoing senior guidance to keep your platform stable as your team ships new features.

  • Code Review: I review complex PRs to ensure no bad patterns slip into production.
  • Incident Response: Third-tier support for complex pipeline failures.
  • Advisory: Monthly syncs to plan roadmap and validate architectural decisions.

Process

How we work together

  1. Discovery. A 30-minute call to see if your stack (AWS/Snowflake/dbt) matches my expertise.
  2. Proposal. I send a clear SOW (Statement of Work) with fixed deliverables and timelines.
  3. Execution. I work in your GitHub repo and your Slack. You see progress daily.
  4. Handoff. I don't keep secrets. You get the code, the docs, and the knowledge.

Is this a fit?

We are a fit if:

  • You value correctness over speed.
  • You want stack decisions based on need, not dogma. My reference implementation is AWS/Snowflake, but I architect whatever the problem demands.
  • You need someone who can speak to both the CTO about budget and the Engineers about DAGs.

Ready to stabilize your stack?

If these engagement models sound like what you need, let's chat. No sales pitch, just a conversation about your data infrastructure.