Peter Tang
Senior Data Engineer @BCI
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WORK HISTORY
Senior Data Engineer @BCI
Victoria, BC, CA
Spearheading technical AI initiatives for the Finance Data & Analytics team, including the deployment of Generative AI agents to modernize internal workflows.• Catalyzing Finance AI Adoption by translating industry roadmaps into actionable technical strategies, reducing manual reporting cycles through strategic tooling upgrades.• Architecting Agentic AI Solutions (Databricks Genie, AI Dev Kit) to automate high-stakes financial validation; reduced manual UAT cycles while enhancing data governance.• Deployed an Automated Data Validator AI Agent to streamline high-stakes financial validation, drastically reducing manual report checking time while increasing data reliability.• Developed an Interactive Project Assessor AI Agent, a GenAI-driven solution designed to standardize business criteria evaluation for new projects and ensure consistent decision-making.• Modernizing executive reporting capabilities through advanced analytics and hierarchical visualizations to provide portfolio insights for the CFO office.• Optimizing enterprise data architecture and SQL environments to improve system performance and reliability for large-scale investment operations.
EDUCATION
University of Toronto Engineering
ENGINEERING
ABOUT PETER TANG
THE BRIDGE BETWEEN ENTERPRISE DATA AND AGENTIC AII bridge the gap between complex data architecture and executive AI strategy. As an AI-Enabling Data Engineering Leader, I specialize in transforming legacy data environments into AI-ready ecosystems that drive automated decision-making and measurable business value.ENABLING AUTONOMOUS AI WITH A GOVERNED DATA FOUNDATIONI champion a \"foundation-first\" data strategy: enterprise AI is only as powerful as the data governing it. I modernize data ecosystems to deliver immediate executive insights while simultaneously engineering the trusted, high-scale data assets required for Agentic AI.By leveraging the Databricks ecosystem and Claude, I recently operationalized high-impact workflows—including an Automated Data Validator and AI Assessor—that reduced manual financial reporting checks from hours to under 5 seconds.CORE EXPERTISE STRATEGIC LEADERSHIP: AI-Readiness Roadmaps, Technical Project Management (PMP®), Data Strategy, Mentorship & Team Growth. AGENTIC AI & GEN AI: Databricks Genie Code, AI Dev Kit, Claude Code & Projects, Microsoft AI Foundry, Human-in-the-loop (HITL) Guardrails. DATA ENGINEERING: Databricks Unity Catalog, Data Engineering Architecture, Microsoft Fabric, Python, SQL, ETL/ELT, CI/CD, Modern Data Stack Migration. MODERN ANALYTICS: Databricks Analytics, Microsoft Fabric, Power BI, Tableau, Dimensional Modeling, DAX Optimization, Executive Financial Reporting.
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