Putting Insights
To Action.

I take messy, scattered data and turn it into clear answers — the kind that help people make smarter decisions, faster. Then I build the systems to make sure those answers keep coming. SQL, NoSQL, Python, JavaScript, Tableau, Spark, Docker, AWS — end to end.

About Me

Christopher A. Rotunno

Analytics engineer & BI leader — building the systems that turn fragmented data into decisions people actually act on.

I've come to believe that people don't underperform because they lack ability. More often, the system around them wasn't built for their success. That's what drives the work — infrastructure that gives people the visibility they need to do their best.

I'm collaborative by default and self-aware about where I add the most value: the technical layer between raw data and real decisions. I work best alongside people who challenge the thinking, not just the code — and who care as much about whether something gets used as whether it gets built.

SQLNoSQLPythonTableauAWSDockerSparkScikit-Learn
Portrait of Christopher A. Rotunno
Christopher A. Rotunno

Data Analytics Engineer & BI Leader

Remote or hybrid preferred — open to relocating anywhere in the US for the right deal.

10+

Years in Analytics

80%

Data Cost Reduction

200GB+

Daily Data Processed

3

Failed Startups

Core Capabilities

BI & Dashboard Design

Tableau, Plotly, and Data Studio dashboards designed for real adoption — built around the decisions they need to support.

Learn More about BI & Dashboard Design

Data Engineering

End-to-end pipeline design and implementation — from raw source ingestion to clean, tested, production-ready data.

Learn More about Data Engineering

Data Warehouse Design

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

Learn More about Data Warehouse Design

Analytics Strategy

KPI frameworks, metrics definitions, data governance, and the organizational strategy that makes analytics stick.

Learn More about Analytics Strategy

Also in My Toolkit

Skills that make the difference between data that sits and data that ships.

Version-Controlled Data

All transformation and pipeline code lives in Git. Every change is peer-reviewable, rollbackable, and documented.

Data Quality & Testing

Python-based tests, Great Expectations, and custom assertion layers that catch data issues before they reach a dashboard.

Executive Storytelling

The ability to translate complex analytical findings into clear narratives for C-suite audiences — without losing the nuance.

Cross-Functional Partnership

Proven track record of working alongside product, finance, marketing, and engineering to define and ship data that drives decisions.

Recommendations

What Colleagues Say

From data engineers and finance directors to product leaders — people who've worked with me on real problems with real stakes.

"Chris rebuilt our entire transformation layer from scratch — clean SQL models, thorough testing, real documentation. Within two months our analysts stopped going to engineering for data questions. That's the standard he sets."
Marcus T.
VP of Analytics
"We handed Chris a mess of Excel files and a spreadsheet-based P&L process. He came back with a proper data warehouse, a Tableau dashboard, and a model we could actually trust in board meetings. Night and day."
Jordan R.
Director of Finance
"What sets Chris apart is that he asks the right business questions before writing a single line of SQL. The dashboards he built for us were adopted immediately because they answered what we actually needed — not what we thought we wanted."
Priya S.
Head of Product
"Worked alongside Chris on a warehouse migration project. His data modeling instincts are sharp — he pushed back on our original star schema design with a better approach and was right. I learned a lot from working with him."
Derek M.
Senior Data Engineer
"Chris built our marketing attribution pipeline when three vendors had told us it couldn't be done cleanly in our stack. He documented every decision, wrote the tests, and handed it off in a way that our junior analyst could maintain. That's rare."
Alicia W.
Marketing Analytics Lead

Gallery

Some of our work

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Let's Put Data to Work

Got a pipeline that's held together with duct tape and prayers? A dashboard nobody trusts? A warehouse migration that keeps getting deprioritized? That's exactly where I come in. Tell me what's broken — or what you're trying to build.

Drop Me a Line

Support My Work

If my content, tools, or code have helped you — consider paying it forward.

Frequently Asked Questions

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

I'm focused on Data Analytics Engineer and BI Leader roles — positions where I can own the full pipeline from raw data to executive-level insight. I'm especially interested in companies investing in a modern data stack (Python, BigQuery/Redshift, Tableau/Plotly).
I've built analytics solutions across retail, CPG, SaaS, and finance. I'm comfortable ramping quickly into a new vertical — data modeling and stakeholder communication patterns transfer across domains.
Core: SQL, Python (pandas, SQLAlchemy), Spark. Warehouses: BigQuery, Redshift. BI: Tableau, Plotly, Google Data Studio, Excel. Orchestration: Airflow. Cloud: AWS, Azure, GCP. Git-based version control for all data work.
I'm based in St. Augustine, FL and am open to remote-first roles. For the right opportunity I'm also open to hybrid arrangements within Northeast Florida.
Yes — I've led small analytics and BI teams, defined data governance standards, and mentored analysts growing into engineering roles. Building a healthy data culture is as important to me as building clean pipelines.
Use the contact form on this site or email me directly at chrisrotunno@icloud.com. I typically 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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