“Building agentic AI that transforms raw data into harmonious, personalized living spaces.”

[email protected]
(401) 954-1620
Greater Boston Area
linkedin.com/in/tim-burns-5aa6141

Founder, Azrius Analytics
March 2025 – Present | Remote

• Architected an agentic AI platform for end-to-end interior design project management, orchestrating tasks, timelines, and client communications with minimal human oversight.
• Leveraged multiple LLMs (e.g., Anthropic Claude, GPT-4) to build interoperable AI “agents” that coordinate seamlessly—delegating design research, vendor sourcing, budgeting, and scheduling.
• Embedded demographic analytics & context-awareness, delivering hyper-personalized design recommendations by modeling client style profiles, budget constraints, and space utilization data.
• Engineered dynamic conversation and state-management structures, enabling multi-turn chat interfaces that “remember” previous room images, client feedback, and task progress.
• Integrated with MIT’s Nanda agentic-web framework, deploying a distributed, scalable multi-agent architecture to boost throughput and reliability.
• Defined product roadmap & technical strategy, iterating rapidly on user feedback to refine agent behaviors, improve accuracy, and drive early-adopter engagement.

Tech Stack: React · Python · Anthropic · Terraform

Principal Data Architect, Evolve Vacation Rentals
May 2023 – Mar 2025 | Remote

• Migrated Salesforce UI to an open-source JS/Python stack (Leaflet, OpenAPI, Snowflake) with sub-second API responses
• Engineered real-time pricing microservices (RabbitMQ, dbt, PyTorch) and geocode-driven adjustments via Gunicorn
• Streamed high-volume SQS data into PostgreSQL for millisecond updates and built partitioned Airbnb/VRBO tables in Snowflake
• Automated infrastructure with Terraform, dbt & ArgoCD, cutting deployment times from hours to minutes
• Optimized pricing and forecasting strategies, boosting revenue per booked night

Tech Stack: Python · TypeScript · Node.js · SQL · Snowflake · AWS (EKS, SQS) · dbt · Spark · PyTorch · Metabase · Tableau

Senior Software Engineer, Abacus Insights
Oct 2021 – Apr 2023 | Boston, MA

• Built Databricks Delta Lake marts with Snowpipe into Snowflake, cutting $2K+/mo in costs
• Migrated real-time claims pipeline from Oracle to Snowflake using zero-copy clones
• Architected normalized CMS data sharing via Snowflake Marketplace
• Developed clinical dashboards mapping LOINC/ICD codes to monitor diabetes & obesity
• Translated complex EMN Spark jobs into native Snowflake SQL, slashing compute spend

Tech Stack: Python · Java · SQL · Snowflake · Databricks · Oracle · AWS (EMR, Glue, Lambda, SQS, Terraform) · dbt · Delta Lake

Data Architect, Kraft Analytics Group
Jul 2019 – Oct 2021 | Foxboro, MA

• Built a sub-second real-time transaction pipeline (API Gateway, Lambda, Redis) handling thousands of TPS and Sunday-game surges
• Designed a Snowflake Data Vault mart unifying vending & ticket sales and integrated Acxiom for 360° customer profiles
• Automated SnapLogic & Bitbucket ETL governance and testing, transforming all-day manual deploys into one-click releases

Tech Stack: Python · Java · SQL · Snowflake · AWS (API Gateway, Lambda, Redis) · SnapLogic · Tableau

Architect Lead, Virgin Pulse
Mar 2018 – Jul 2019 | Providence, RI

• Replaced Birst with an Airflow-driven Python pipeline on Redshift for end-to-end analytics
• Developed a templated SQL framework for multi-segment analytics and SCD handling in reward rules
• Migrated legacy SQL Server warehouse to Redshift via AWS DMS, eliminating a 3-month reporting backlog and decommissioning SQL Server

Tech Stack: Python · SQL · Airflow · Redshift · SQL Server · AWS DMS · Tableau · Domo

Full Stack Software Engineer Lead/Manager, Retail Solutions Inc.
Jul 2002 – Apr 2018 | Cranston, RI

• Designed a timezone‐aware change-tracking engine in Java/Oracle for push-replication analytics
• Developed a Spring/Java web reporting platform with customizable report-template engine and alerting
• Extended PL/SQL & Talend to unify supply-chain metrics across 40 retailers with automated data cleansing

Tech Stack: Java · C# · SQL (Oracle, SQL Server) · Talend · Spring · SharePoint · Tableau · MS Analysis Services

Capital Campaign Chair
Sep 2023 – Present | Providence, RI

• Directed volunteer team to raise $2.5M for capital improvements
• Served as primary liaison to Klote & Associates fundraising consultants
• Secured $1.2M in major-donor pledges through targeted outreach in month one
• Managed CRM to track donor engagement and steward personalized follow-up

• AWS Certified Solutions Architect – Professional (2021)
• Certified Scrum Master – Scrum Alliance (2017)

• Machine Learning Data Lifecycle in Production (2023)
• Machine Learning in Production (2023)
• Neural Networks and Deep Learning (2024)
• Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization (2024)

• "Securing the Snowflake Integration on AWS" – Snowflake, Jan 2023
• "Three Literacy Tests for Hiring Data Engineers" – Better Programming, Apr 2022
• "Integrating Snowflake with Glue" – Towards Data Science, Apr 2021
• "Building a Successful Data Initiative" – Towards Data Science, Oct 2020

University of Utah

• B.A. in Mathematics, 1996
• Completed M.S. coursework in Computational Science (All but thesis), 1994-1996

• Data Architecture & Strategy

  • Designed and implemented robust data ingestion, ETL, and streaming pipelines to support real-time analytics and reporting.

• Budget & Resource Management

  • Managed multi-cloud budgets and forecasting, optimizing resource allocation and achieving significant cost savings through rightsizing and reserved instances.

• Team Leadership & Mentorship

  • Built and scaled high-performing data engineering teams, established best practices for code quality and data governance, and mentored engineers in career development.

• Stakeholder & Business Partnership

  • Partnered with product, analytics, and executive stakeholders to translate business requirements into scalable data solutions that drive measurable value.

• Cross-Functional Collaboration

  • Collaborated with DevOps, BI, and security teams to integrate data platforms into CI/CD pipelines and ensure compliance with regulatory and security standards.

• Agile Data Delivery

  • Instituted agile methodologies, GitLab pipelines, automated testing, and sprint cadences to deliver reliable, high-impact data features on a weekly cycle.

• Operational Excellence

  • Led data quality frameworks, monitoring, and blameless incident reviews to maintain continuous reliability and drive process improvements.

• Metrics-Driven Leadership

  • Defined and tracked KPIs and dashboards to measure platform performance and business outcomes, guiding strategic decision-making.