Google Cloud Certified BigQuery consultant and fractional data engineer. I've optimized TB-scale queries, built enterprise pipelines for data behind corporate firewalls, and designed high-performance data models using clustering, partitioning, and both on-demand and dedicated compute pricing for insurers, banks, publishers and SaaS teams.
BigQuery Consulting Services
Supporting businesses with expert fractional BigQuery data warehouse development services and Looker powered BI reports and visualizations.
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Google Cloud Configure your Google Cloud organization and set up your data warehouse project with secure controls for access and permissions (IAM)
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Looker Connect with external reporting and BI tools like Looker, Tableau, Microsoft Power BI and custom built dashboards to generate custom analytics reports and visualizations
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Google Analytics 4 Connect your Google Analytics 4 profiles and Google Search Console data to BigQuery with native integrations, plus server-side GA4/GTM tagging pipelines that feed the warehouse directly, beyond what the native export captures
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Dataform & Scheduled Queries Version-controlled SQL modeling with Dataform, with scheduled queries operating as the reporting engine behind your dashboards and automated reports
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Fivetran & Managed Connectors Fivetran connector setup and ongoing administration for CRM and marketing data (HubSpot, Salesforce and more), with Airbyte or custom ETL where managed connectors fall short
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Import Data Create connections to your data inside and outside of Google Cloud, and automatically import on a schedule or in real-time
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Automated Executive Reporting Productized weekly email reports driven directly from BigQuery and delivered to leadership inboxes, the numbers that matter, no dashboard login required
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Visitor Company Identification Reverse-DNS enrichment that identifies the companies visiting your website, feeding account-based marketing and sales intelligence from your own warehouse
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Measurement Design Campaign and UTM naming conventions that map cleanly to GA4 collected source per event, content_group dimensions, and schemas designed so reporting stays coherent as the stack evolves
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Consent-Aware Measurement Measurement architecture that keeps BigQuery data coherent under GDPR/CCPA consent regimes, partial consent doesn't have to mean broken reporting
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Warehouse Takeovers & Audits Auditing and taking over inherited data warehouses: documenting what exists, fixing what's broken, cutting what you don't need, and lowering the bill along the way
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Cost & Performance Optimization Reduce costs and improve speed and performance when working with large datasets with clustering, partitioning, and query plan execution analysis
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Dynamic Documentation Continuous documentation of all your BigQuery data, providing you with clarity: what it is, where it came from, who has access to it, and what it can be used for
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Governance & Security Continuously scan and report compliance issues to adhere to specific security standards like GDPR, HIPAA, PCI DSS or CCPA
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Data Migrations Plan and execute large-scale data migrations to get your external data into BigQuery from other systems like Snowflake, Oracle, Amazon Redshift and more.
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Monitoring & Error Reporting Setting up monitoring and notifications to ensure that scheduled tasks are reliable, and that issues are identified with actionable insights.
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Advanced ETL Creating and implementing advanced ETL systems to get abnormal or unstructured data into BigQuery using tools like Dataform, DBT, Fivetran, Airbyte and Google Cloud Functions
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Right-Sized Analytics DuckDB and MotherDuck implementations where a full BigQuery deployment is overkill, matching the stack to the workload instead of the trend
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Machine Learning Use your data to predict and forecast future performance with BigQuery ML
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Cost Management Configure cost limits to avoid unexpected high cost, and forecast expenses for future budgeting
Expert Experience & Proven Results
I've spent 8+ years working in BigQuery specifically, within a longer career in web analytics and data engineering, helping businesses in the finance, insurance, healthcare, entertainment, and software industries set up and utilize Google BigQuery as a highly effective data warehousing tool.
BigQuery Case Studies
Freelance data warehouse development with custom ETL connections to Hubspot and SalesForce CRM, allowing company leadership to monitor and measure the sales and marketing performance of their SaaS product.
Freelance BigQuery data warehouse development for a life insurance organization, tracking an end-to-end customer buying journey utilizing Segment.com, Hubspot, Tableau, Oracle BI and Snowflake.
Freelance BigQuery data warehouse development and web connection via Google Pub/Sub, allowing for real-time tracking and content personalization based on user location and travel interest.
Freelance support developing a connection to a Google BigQuery data warehouse allowing for real-time user tracking and error monitoring on a web publication reaching over 6 million unique visitors each month.
BigQuery data warehouse architecture with connections to Tableau for performance reporting and optimization across 50+ web publications processing roughly 100 million analytics events per month.
Architecture and development of a BigQuery data warehouse with connections to Google Analytics 4, Marketo, Intercom.io, Google Ads, Zoho enrichment and SalesForce.
“Kevin's background as a fractional web developer had us questioning his ability, but we quickly learned that he is a highly skilled fractional data engineer that's adept with SQL, and more specifically data performance and query execution in BigQuery. More importantly, he provided us with sound advice and helped us utilize our data warehouse in very effective ways.”VP of Engineering
Data Visualization
Connect your BigQuery data warehouse with powerful visualization tools like Tableau or Looker to generate performance reports and interactive dashboards with data you trust.
Query & Cost Optimization
Optimize and reduce your query and storage costs with smart clustering, partitioning and deep query plan execution analysis.
“Kevin has been an invaluable asset to our business. His skills as a BigQuery expert are extremely well complimented by his background in web application development, allowing him to seamlessly communicate across various teams to facilitate productive outcomes. We hope to continue working with him long term, well into the future.”CMO, Coastal1 Credit Union
Data Pipelines & ETL
Connect external data source with your BigQuery data warehouse using open-source approaches to ETL that are focused on long-term stability and data transparency.
Data Governance & Compliance
Experience supporting businesses with strict compliance and regulatory requirements like HIPAA, PCI, GDPR, SOC2, ITAR and more.
“Kevin's unique set of skills as a fractional BigQuery developer, and a highly skilled data warehouse developer, have served our marketing and advertising initiatives extremely well since we first began working together. CAC is down, revenue is up, and performance reporting is crystal clear.”Founder & CEO
Common Tasks & Requests
A sample of the BigQuery and data engineering requests I handle every month:
- GA4 BigQuery export setup
- Scheduled queries and Dataform models
- HubSpot and CRM data pipelines
- Fivetran connector setup and administration
- Session and user-level query modeling
- Query cost optimization
- Automated email reports from BigQuery
- Identifying visitor companies with reverse DNS
- Looker Studio dashboards on BigQuery data
- Streaming ingestion with Pub/Sub
- Auditing an inherited data warehouse
Benefits of working together
Engagements Start With a Paid Diagnostic
New BigQuery engagements begin with a paid diagnostic of your existing setup, the warehouse you inherited, the GA4 export nobody modeled, the query bill that keeps climbing. You get a written assessment and a concrete roadmap either way, and it's how nearly every long-term data engagement I have began.
Roadmaps Built Around Your Data Deadlines
Data projects fail on scope creep more than SQL. Whether it’s a GA4 export backfill, a dbt model buildout, or a board-ready dashboard, I define the datasets, transformations, and deliverables up front, then work against a clear roadmap with regular progress updates so reporting deadlines don’t slip.
A Fractional Data Engineer on Your Team
You get direct access to the person actually writing your SQL and building your pipelines. I’m available for query troubleshooting, schema questions, and quick adjustments throughout a project, no ticket queue, no analyst-in-the-middle relaying answers.
Recognized BigQuery & GCP Expert
I've worked hard to become a recognized and trusted fractional data engineer, contributing advice and feedback on BigQuery, GA4, and data pipelines to StackOverflow, Reddit and the Google Cloud Community.
Pipelines That Keep Running After Launch
A warehouse isn’t finished at handoff, schemas drift, costs creep, and scheduled queries break silently. I stay available after delivery to monitor, tune query costs, and extend what we built, and most organizations keep me on long-term for exactly that.
Let's Chat
If you're looking for expert consulting from a seasoned specialist schedule a consultation on Google Meet, or contact me by email.