Daniel Cook

About Daniel Cook

Hands-on, experienced software leader who uses a deep technical background to bring a range of data-driven products and initiatives to market. I specialize in the areas of business intelligence, analytics engineering, data architecture, software feature & life-cycle management, and marketing stacks. I am curious and tenacious, and inspire others to develop an appreciation for how analytics inform business decisions and influence corporate strategy.Specialties: Business Intelligence, Analytics Engineering, Technical Program Management, Data Stack Design, Database Design, Structured Query Language (SQL), Marketing Technology Stack, Google Cloud Platform, Amazon Web Services, Cloud Computing, Innovation Management, Enterprise Data, Data Warehouse, ETL, ELT, innovative algorithms

Experience

1. Principal Data Architect

   Doxo

   Sep 2020 — Present · Seattle, WA, US

   doxo.com is working to deliver a better payments experience for users and billers. As Principal Data Architect, I am helping the company get from its current state data architecture to its future state, including:* Designed an LLM-as-judge system, and evaluated / fine-tuned LLM prompts using Claude, to enhance model accuracy for an AI-based customer support chatbot.* Evaluation and selection of software components of a logical data warehouse (LDW), a cloud data warehouse (CDW), and a real-time data platform* Migration from on-premise / relational data storage into cloud data lake / object storage* Lots of hands-on data warehouse/lakehouse design, ETL/ELT, BI data flow development, and plain old writing of SQL!* Direct experience with enterprise-grade data tools such as Snowflake, dbt, Sigma Computing, Airbyte, Integrate.io, Immuta, Starburst, Trino, Presto, Fivetran, Databricks, Kinesis, CDC, Tableau and Tableau Prep, StreamSets, UpSolver, and Superset.* Identifying business subject areas and providing a taxonomy of data domains across the enterprise for exposure within the data warehouse* Documenting data models across the company in a centralized location and making these highly available to interested parties* Working with Engineering and DevOps leaders to enhance cloud data infrastructure to address InfoSec and data reliability* Working with stakeholders as to the priority uses of data to achieve business objectives* Prioritization and implementation of product features and capabilities across the data platform* Advising on data-centric product initiatives such as notifications & events ecosystem for user activity, data catalog, and event ledger* Approaches and tools used for instrumentation and measurement

Education

• University of Dayton

  Master's degree, Laser and Optical Engineering

• Colorado State University

  Bachelor of Science, Physics; Mathematics

Skills

• Databases
• Patents
• Sql Server
• Strategic Partnerships
• Microsoft Sql Server
• R&D
• Enterprise Software
• Strategic Thinking
• Product Development
• Invention
• Cloud Computing
• Innovation Management
• Program Management
• System Architecture
• Start-Ups
• Intellectual Property
• Saas
• Database Design
• Behavioral Economics
• Agile Methodologies
• Software Development
• Software Project Management
• Software Engineering