Helping organizations consolidate, structure and optimize their disparate data with a BigQuery data warehouse to provide precise analytics and business intelligence that is compliant, secure and finely tuned for high volume performance.
BigQuery Consulting Services
Supporting businesses with the following BigQuery consulting services.
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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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Google Analytics 4 Connect your Google Analytics 4 profiles and Google Search Console data to BigQuery with native integrations, and begin working with the data in meaningful ways
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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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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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Visualizations & Reports Connect with external reporting and BI tools like Tableau, Microsoft Power BI, Looker, or Google Data Studio to generate custom analytics reports and visualizations
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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 Google Cloud Functions or DBT
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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
For 8+ years I've helped businesses in the finance, insurance, healthcare, entertainment, and software industries setup and utilize Google BigQuery as a highly effective data warehousing tool.
BigQuery Case Studies
BigQuery data warehouse build 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.
BigQuery data warehouse build for a life insurance organization, tracking an end-to-end customer buying journey utilizing Segment.com, Hubspot, Tableau, Oracle BI and Snowflake.
BigQuery data warehouse build and web connection via Google Pub/Sub, allowing for real-time tracking and content personalization based on user location and travel interest.
Direct connection to Google Pub/Sub 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 for an audience of 4 million unique users across 30+ web publications.
Architecture of a BigQuery data warehouse with connections to Google Analytics 4, Marketo, Intercom.io, Google Ads, Zoho enrichment and SalesForce.
Testimonial
Kevin's background with WordPress development had us questioning his ability, but we quickly learned that he is a highly skilled freelance 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.
Testimonial
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.
Testimonial
Kevin's unique set of skills as both a data engineer, and a highly skilled web 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 @
Benefits of working together
Expectation Management to Meet Deadlines
Clearly defined expectations let you know what to expect for timeline, deliverables, and results. I always work against a clear roadmap, providing regular updates on progress as work progresses.
Teamwork, Responsiveness & Clear Communication
By working directly as a member of your team, I make myself accessible for questions, troubleshooting, and adjustments through the course of a project, providing prompt responses and collaborating on details whenever needed.
Well Recognized Expert
I've worked hard to become a recognized and trusted freelance data engineer, contributing advice and feedback to StackOverflow, Reddit and the Google Cloud Community.
Post-Project Support
Ongoing support after the project is completed is always available, and quite often I work with organizations long-term.
Have questions?
Reach out and let me know, I'd love the opportunity to work with you and your team.
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