Helping data professionals adapt to a rapidly changing technology landscape.

The technology landscape for data professionals is shifting fast. AI, cloud platforms, and new analytical tools are redefining what it means to work with data. Deep expertise in a single tool or role is not enough. The practitioners who thrive will be the ones who build broad adaptable skill sets across AI, data science, data analytics, and cloud technologies.

I've spent over 30 years working across data engineering, AI, machine learning, data strategy and cloud architecture. I've written certification study guides for Google Cloud, built courses for LinkedIn Learning, Udemy, and Pearson/Coursera, and helped organizations and practitioners navigate this evolving landscape. The through line: helping data professionals build the skills that matter now and the adaptability to keep up with what's next.

Below you'll find my books and courses, organized by topic. Whether you're preparing for a Google Cloud certification, sharpening your SQL skills, or developing expertise in AI and data strategy, browse what's relevant and start building.

Browse Courses

What Data Professionals Need Now

AI & Machine Learning

Generative AI, ML deployment, and the practical skills to build, evaluate, and govern AI-assisted workflows in production.

Data Science & Analytics

From SQL and statistical analysis to simulation modeling and time series, the analytical techniques that turn data into decisions.

Data Engineering

Pipelines, data warehousing, performance tuning, and the infrastructure that makes everything else possible at scale.

Cloud Technologies

Google Cloud certifications, architecture, security, and the cloud platform skills that modern data work depends on.

Books

Published guides and references spanning cloud certifications, NoSQL databases, simulation modeling, text mining, and enterprise architecture.

Simulation Models for Data Science

O'Reilly Media · 350 pages

Introduction to Monte Carlo methods, discrete event simulation, system dynamics, and agent-based modeling for data science and operations research.

View on O'Reilly

Google Cloud Certified Associate Cloud Engineer Study Guide

Sybex/Wiley · 2nd Edition · 576 pages

Comprehensive coverage of every domain and competency tested by the Associate Cloud Engineer exam, with review questions and practice tests.

View on Amazon

Google Cloud Certified Professional Cloud Architect Study Guide

Sybex/Wiley · 2nd Edition · 368 pages

Proven roadmap to success on the Professional Cloud Architect exam, covering Kubernetes, Anthos, and multi-cloud architectures.

View on Amazon

Official Google Cloud Certified Professional Data Engineer Study Guide

Sybex/Wiley · 352 pages

Complete preparation for the Google Cloud Professional Data Engineer exam with practice tests and review questions.

View on Amazon

NoSQL for Mere Mortals

Addison-Wesley · 542 pages

The clearest, simplest guide to solving real problems with NoSQL, covering all four main categories of NoSQL databases.

View on Amazon

Document Warehousing and Text Mining

Wiley · 560 pages

How to build document warehouses, organize free-form text for easy access, and exploit text mining techniques for decision-makers.

View on Amazon

Proven Portals

Addison-Wesley · 224 pages

Best practices for planning, designing, and developing enterprise portals to improve collaboration, communication, and decision-making.

View on Amazon

Consulting & Custom Training

I work directly with teams and organizations. No layers of project managers or generic slide decks. Thirty years of building data systems across industries means I can adapt to your stack, your constraints, and your people.

Custom Training

Private courses tailored to your team's stack and skill gaps. I take the same material behind my public courses and adapt it to your tools, your data, and your goals.

Google Cloud certification prep, AI/ML foundations for data teams, cloud migration skills workshops

Technical Strategy

Integrating AI into enterprise systems, designing data platforms that support advanced analytics, and applying data science and AI engineering to knowledge-intensive applications. I help organizations move from AI experiments to production systems that deliver measurable value.

Enterprise AI integration, data platform design for AI and analytics, AI engineering for knowledge-intensive workflows, data science strategy

Workshops & Keynotes

Conference talks, executive briefings, and hands-on workshops for teams. Focused on the practical side of AI, data strategy, and cloud technologies.

Conference keynotes, team offsites, leadership briefings on AI strategy, half-day hands-on workshops

Industry experience: I've worked across data analytics technology, healthcare, biotech research, and consulting engagements in financial services, manufacturing, and retail. If your data challenges are complicated by regulation, scale, or organizational complexity, that's familiar territory.

Interested in working together? Let's talk about what you need.

Get in Touch

Experience & Education

Over three decades building data systems, leading engineering teams, and translating complex technology into practical skills. My career has spanned data analytics technology companies, healthcare, biotech research, and consulting across financial services, manufacturing, and retail.

Career

2020 – Present

Technical Education & Data Analytics Technology

Currently a Principal Technical Account Manager at Hydrolix, working at the intersection of high-performance time-series analytics and customer success. In parallel, I run Sullivan Learning Group, creating courses and certification study guides for Google Cloud, data science, and AI through LinkedIn Learning, Udemy, Pearson/Coursera, O'Reilly, and Wiley.

Data Analytics Cloud Technical Education

2015 – 2020

Principal Engineer & Architect

Held principal engineering and architecture roles at New Relic and PEAK6 Technologies. At New Relic, designed observability platform architecture serving massive-scale telemetry data. At PEAK6, served as lead data architect on the modernization of an insurance processing platform, redesigning data systems to handle the scale and reliability demands of a regulated industry. Both roles centered on high-throughput, high-reliability data systems where getting the architecture wrong had immediate, measurable consequences.

Observability Insurance Data Engineering

2013 – 2015

Enterprise Architecture, Healthcare

Enterprise Architect at Cambia Health Solutions, one of the largest health plans in the Pacific Northwest. Led data architecture strategy across the organization, bridging clinical, actuarial, and operational data systems in a heavily regulated environment.

Healthcare Enterprise Architecture

2004 – 2013

Biotech Research & Bioinformatics

Spent nine years as a Research Scientist at the Virginia Bioinformatics Institute at Virginia Tech, building computational systems for large-scale genomic and biomedical data analysis. Also co-founded Microbe Analytics, applying data science techniques to microbiome research. This period shaped my approach to working with complex, high-dimensional datasets where domain expertise is inseparable from the technical work.

Biotech Bioinformatics Research

1996 – 2004

Data Warehousing & BI Consulting

Started my career in data warehousing and business intelligence consulting at Ballston Group and CRT Inc., building analytical systems for clients largely in financial services, manufacturing, and retail. This is where I learned that the hardest part of data work isn't the technology; it's understanding the business well enough to build systems people actually use.

Financial Services Manufacturing Retail Consulting

Education

PhD, Genetics, Bioinformatics & Computational Biology

Virginia Tech

MS, Computer Science

University of Massachusetts Amherst

BS, Computer Science & Philosophy

Trinity College, Hartford