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Data Warehouse & Dimensional Modeling

A poorly designed warehouse accumulates technical debt faster than any other part of the stack. I design data models with the right grain, the right structure, and the right tradeoffs documented — so your team can build on top of them for years.

What’s Included

  • Dimensional modeling and star schema design
  • Warehouse setup and configuration (BigQuery, Redshift)
  • Staging layer design and source alignment
  • Mart layer modeling for business domains
  • Metrics layer design for consistent KPI definitions

Platforms

BigQuery · Redshift · Python · Spark · Airflow

I design for the questions the business is actually asking — not the schema that was easiest to load.

Data Warehouse Design

Warehouse architecture and data modeling that scales — star schemas, OBTs, and governance frameworks built for the long term.

Let's Work Together

Open to full-time roles, contract engagements, and consulting work. If you have a data challenge that needs solving, reach out and let's talk.

Reach Me Directly

Email: chrisrotunno@icloud.com

Location & Availability

Based in St. Augustine, FL. Available for remote-first roles nationwide and hybrid arrangements in Northeast Florida. Typically respond within one business day.

Send Us a Message

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Frequently Asked Questions

Can't find what you're looking for? Reach out through the contact form below.

Data Analytics Engineer and BI Leader roles that put me in a seat with visibility into the whole operation, not just one team's slice of it:
  • Analytical, business-strategy driven work: turning scattered, untrusted data into decisions people actually act on
  • Enough scope to see how the entire company's operations connect, not a siloed dashboard for one department
  • Ideally with a global, remote-first team
Ten years across four industries. I've been on both sides of the dashboard:
  • Built analytics systems in financial services and retail
  • Ran the floor in food service and home improvement
That means I don't just model how a business works. I've lived the parts a dashboard usually misses.
  • SQL, Python, and Spark for the engineering
  • Tableau, Excel, and Google Data Studio for the reporting
  • AWS, Azure, and GCP for wherever your data lives
In practice: you don't need three hires to get from raw data to a dashboard your VP trusts. One will do.
  • Remote-first, ideally with a global, distributed team
  • Open to hybrid, and open to relocating anywhere in the US for the right role
  • Looking for compensation and benefits strong enough to make the move worth it for both of us
Yes.
  • Built a team from scratch
  • Cut a data vendor's cost by 80%
  • Mentored analysts into engineering roles
If you need someone who can write the pipeline and grow the people running it, that's the role I want.
  • Fastest path is the contact form below
  • Or email me directly at chrisrotunno@icloud.com
  • I respond within one business day

Got a question?
I'll give you a straight answer.

No fluff. If I can't answer it, I'll say so.

Christopher A. Rotunno Grounded in Analytics

Data analytics engineer and BI leader. Building pipelines, models, and dashboards that turn raw data into clear decisions.

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