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Experienced data architect with a strong background in scalable systems, ETL pipeline development, and complex dataset analysis for data ingestion
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Skilled in API integration, data modeling, and BI support
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Adept at bridging business and technical teams, leading global teams, and delivering reliable, scalable solutions through strategic planning and cross-functional collaboration
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Data Architecture & Modeling - Designed and implemented scalable data models and architectures for BI products, ensuring adaptability to evolving business and product needs
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Dataset & API Analysis - Conducted in-depth analysis of datasets and API outputs, identifying data quality issues, transformation requirements, and optimization strategies for ingestion
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Data Integration - Designed data sourcing strategies for APIs and external datasets, accounting for authentication methods, rate limits, and performance needs in real-time and batch processes
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ETL & Process Design - Designed, documented, and optimized ETL pipelines to process raw datasets and API outputs into structured, business-ready formats
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Technical Documentation - Authored detailed implementation guides covering data sources, data transformations, business logic, and operational considerations
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Project Scoping & Feasibility - Scoped ambiguous projects, assisting sales and product teams by validating technical feasibility and defining data requirements
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Cross-Functional Collaboration - Partnered with VPs, Directors, Product, Sales, and Operations to design solutions tailored to business goals
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Team Leadership & Development - Led and mentored a global data engineering team, driving development, technical support, and growth
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Delivered international training in India on Data Architecture and Modeling, standardizing best practices
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Troubleshooting & Support - Served as escalation point for data-related issues, coordinating with architecture, engineering, and operations teams across US, India, and Bolivia
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Innovation & Research - Evaluated and tested emerging tools as needed (Python, CLI, AWS products, etc.) to expand data integration, analytics, and processing capabilities