Nick Tyler

About Nick Tyler

Data engineer and data product owner with an MBA in Data Analytics, focused on building scalable, enterprise data solutions on Microsoft Azure. I lead technical discovery for API-driven data integrations, design logical data models, define source-to-target mappings, and determine full versus delta load strategies and refresh cadences based on source system behavior. I bring a strong architectural mindset to data modeling by favoring reusable, base-level data structures that support multiple business domains. I also partner with business and risk teams to ensure appropriate data masking and compliance standards are met, with a focus on delivering durable data foundations that enable analytics, reporting, and decision-making at scale.

Experience

1. Data Engineer

   Western Alliance Bank

   Nov 2025 — Present · Phoenix, AZ, US

   Call Center Data Integration (Enterprise Telephony Platform)Led end-to-end technical discovery and design for ingesting call center data from an enterprise telephony platform into the enterprise analytics environment.Researched and validated required APIs using Postman, confirming endpoint availability, payload structures, and data refresh characteristics.Designed the logical data model and documented detailed source-to-target mappings, translating business requirements into clear, actionable engineering specifications.Partnered with other data engineers to determine appropriate full vs. delta load strategies based on source system behavior and data volatility.Defined and coordinated refresh schedules, accounting for the fact that different datasets update on different cadences within the source system.Provided technical oversight to two data engineers, including code reviews and data validation reviews, to ensure ingestion logic, transformations, and outputs were correct and complete.Made and defended a strategic decision to keep Synapse views at a base, reusable level, enabling flexibility for multiple business lines rather than creating narrowly tailored reporting views.Collaborated with business partners to align on this modeling approach, ensuring long-term scalability and broader analytical applicability.Ensured sensitive data elements were properly masked and handled in accordance with enterprise security and compliance requirements.Implemented the solution using Azure Data Lake, Azure Data Factory, and Synapse views within established data engineering standards.

Education

• Texas A&M University-Corpus Christi

  Master of Business Administration - MBA, Data Analytics

• Utah Valley University

  Bachelor's degree, Information Systems - Business Intelligence

  2015 — 2020