Dual-certified Data Engineering & Automation Specialist skilled in building high-throughput cloud data pipelines, optimizing enterprise data warehouses (Google BigQuery), and developing full-stack web applications with embedded AI functionality. Adept at leveraging modern AI-first software practices alongside Python, SQL, and Power Automate to transform repetitive manual processes into frictionless, automated cross-platform workflows.
Technical Highlights & Key Competencies
Cloud Data Warehousing & Modeling: Advanced proficiency in Google BigQuery architecture, query optimization, and dbt-certified data transformation pipelines.
Workflow & Process Automation: Architected extensive enterprise automation flows using Power Automate, Azure DevOps, and JIRA to eliminate operational friction and manual data entry.
AI-First & Full-Stack Development: Designed and deployed web applications featuring integrated AI agents/capabilities, utilizing GitHub Copilot to accelerate code delivery and enhance feature efficiency.
End-to-End Pipeline Engineering: Seamlessly connecting disparate data sources, APIs, and operational systems into scalable, low-maintenance production pipelines.
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