Data architect with a Computer Science background and 8+ years turning ambiguous business requirements into governed, ontology-driven data products and AI agents that scale across the enterprise.
Overview
1
1
Certification
7
7
years of professional experience
Work History
MBA Student
UCD Michael Smurfit Business School
08.2026 - Current
Sr Data Architect, Business Analytics
Blue Yonder
New York
08.2024 - 08.2026
Served as architect and administrator of the company's enterprise data warehouse on Databricks, owning end-to-end platform design, security, access governance, and performance for all business units.
Built and deployed AI agents using Claude Code and the Gemini API, and leveraged Databricks Genie agents to automate internal data and reporting processes across the enterprise.
Designed contextual engineering framework and enterprise ontology for AI systems, enabling dynamic data enrichment across 15+ enterprise sources, enhancing model accuracy by 40% and streamlining feature engineering time by 30%.
Architected enterprise-wide semantic layer using dbt's, standardizing 200+ KPIs and accelerating report development time by 50% while maintaining data governance compliance.
Manager, Audit Analytics & Innovation
Warner Bros Discovery
New York
06.2023 - 05.2024
Built optimized datamarts in Snowflake using dbt on top of the ontology, standardizing entity resolution across source systems and reducing data preparation time for new audit analyses by 40%.
Leveraged ontology-defined relationships to trace indirect links between entries, approvers, and vendors, improving fraud detection coverage in journal entry testing while cutting false positives by 20%.
Engineered ontology-derived features (entity roles, relationship depth, control-boundary crossings) for a decision tree classifier deployed to detect invoice fraud.
Presented complex financial data through Power BI, resulting in a 15% reduction in financial reporting time and a 10% improvement in budget accuracy.
Developed an audit ontology formalizing core entities (journal entries, GL accounts, vendors, cost centers, approvers, controls) and their relationships, replacing ad hoc per-engagement data mappings with a shared semantic vocabulary across finance systems.
Sr Advisory Analytics Consultant
Deloitte
McLean
06.2022 - 06.2023
Developed audit risk assessment data product using Python and Power BI for large bank in California, pulling applications and attributes from multiple data systems to rank them per auditor's criteria, resulting in 25% reduction in IT auditing time.
Automated ETL from SAP ERP to Snowflake tables using AWS S3 as staging layer, reducing data ingestion time by 15%.
Analyzed large datasets to identify trends and insights for client projects.
Developed data visualization dashboards using Tableau for client presentations.
Collaborated with cross-functional teams to define project requirements and objectives.
Analytics Engineer
Even Financial
New York
08.2021 - 05.2022
Built optimized OLAP data models in dbt that led to improved looker dashboard load times by over 30%.
Built ELT pipelines with Talend and Airflow for data ingestion into AWS Redshift, enhancing data accessibility for analytics.
Developed data models to support financial product recommendations.
Collaborated with cross-functional teams to enhance data-driven decision making.
Analyzed user behavior to identify trends and inform product strategy.
Data Analyst
Arch Capital Group
Washington
06.2019 - 08.2021
Designed and developed Power BI visualization solutions to analyze mortgage-backed and credit risk transfer securities performance, enhancing decision-making processes.
Refactored SAS statistical functions to pandas, streamlining vector-based computations for improved data analysis efficiency.
Built and documented test cases for a python cashflow engine, enabling effective quarterly analysis of over $1b in securities.
Education
MBA -
University College Dublin: Smurfit Business School
09-2026
Master of Science - Business Information Systems
New Jersey Institute of Technology
Bachelor of Science - Computer Science
Manipal Institute of Technology
Skills
Agentic AI & Automation: Design and deploy AI agents that automate analytics and decision workflows — Claude Code, Anthropic & Gemini APIs, Databricks Genie, Model Context Protocol (MCP)
Agent Orchestration: Multi-agent systems for end-to-end business processes — LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel
Semantic Layer & Data Governance: Single source of truth for enterprise KPIs and metrics — dbt Semantic Layer, Cubejs, ontology & knowledge graph modeling