Britton Blaize Olle
Founder @ InQery
About
I am a founder and consultant focused on building data systems and products at the intersection of data, analytics, and AI.As Founder of InQery, I am developing an AI-powered database workspace that transforms natural language into SQL, reporting, and advanced analytics. The platform is designed to help teams explore, understand, and operationalize their data faster—while maintaining full transparency, control, and governance.As a Partner at Alta Cima Advisors, I led the design and implementation of large-scale data and reporting systems for energy and commodity clients. My work has centered on building end-to-end data platforms—from ingestion and transformation pipelines to fully automated regulatory reporting solutions. My background combines technical architecture, financial modeling, and data science. I work comfortably across the stack—designing database schemas, building ETL/ELT pipelines, and developing analytics workflows—while also translating complex data into actionable business insights.I am particularly interested in:- AI applications in real-world data systems - Scalable data architecture and automation - Building products that bridge technical and business users At my core, I focus on turning complex, fragmented data processes into clean, scalable, and usable systems.
United States
Houston
Management Consulting
Strategic Planning, Customer Service, Microsoft Excel, Research, Sales
Experience
Founder
InQery
Houston, TX
Founder, InQery Founder of InQery, an AI-powered database editor and developer assistant designed to turn natural language into reliable, production-ready SQL, analytics, and reporting. We’re building a platform that enables teams to explore, query, and operationalize their data faster—without sacrificing control, transparency, or governance. InQery combines AI-driven query generation with a shared, auditable workspace where teams can collaborate on data workflows, reports, and insights. Key focus areas: - AI-assisted SQL generation and data exploration - Multi-database connectivity (Snowflake, Postgres, SQL Server, Oracle, etc.) - Collaborative workspaces for queries, scripts, and reporting - Report building, data visualization, and automated analytics outputs - Advanced analytics, including machine learning and data science workflows - Secure, enterprise-ready deployments (including private/on-prem LLM support) We want a future where working with data is as intuitive as asking a question—while maintaining the rigor required for real-world production environments.
Partner
Alta Cima Advisors
Houston, TX
I build tailored software solutions that help leading energy and commodities companies turn complex data into clear, actionable insights.
Energy Consultant
Alta Cima Advisors, LLC
Houston, TX
Director
FTI Consulting
Boston, MA
Senior Consultant
FTI Consulting
Energy Analyst
Molecule
Houston, Texas, United States
Plymouth Rock Energy, an ENGIE company
Plymouth Rock Energy, an ENGIE company
New York, NY
- Manage inbound price requests and approved customer contracts for a leading energy and natural gas supplier. Created custom pricing models for large usage customers - Liaise with the Sales and Supply teams to ensure accurate pricing information reaches all facets of business operations - Evaluate contract terms to account for risk due to bandwidth and margin
Quantitative Pricing Analyst
ENGIE Resources
New York City Metropolitan Area
Intern
Alta Cima Advisors
Vail, CO
- Provided comprehensive support to multiple departments of a $10M AUM quantitative hedge fund (top 5% of all US hedge funds 2004-2008 Morningstar) that employs automated machine learning model strategies - Created an office-wide automated system using Python to calculate profit and loss of each account throughout the day interfacing with complex 300+ SQL Server table portfolio/risk management system - Built comprehensive market reports on a diverse group of investment vehicles data mining Morningstar wrangling data and loading analysis to SQL Server database - Backtested quantitative trading strategies by fitting complex machine learning models to segmented training sets and testing the models on real time quoted prices to evaluate profitability and risk
Education
Fordham Gabelli School of Business
Finance
Loyola Marymount University
Economics and Finance
Britton Blaize Olle's Contact Information
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