Gunapati
Snowflake Ai Data Cloud Architect @Health Resources And Services Administration Hrsagov , Hhs
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WORK HISTORY
Snowflake Ai Data Cloud Architect @Health Resources And Services Administration Hrsagov , Hhs
Washington, DC, US
Implement Snowflake AI Data Cloud Platform with an end-to-end ecosystem integration, robust security and governance, automated data operations, and continuing cost optimization.
EDUCATION
Franklin University
Master of Science - MS, Computer Science
ABOUT GUNAPATI
Enterprise Data & AI Architect with 7+ years of hands-on experience on Snowflake AI Data Cloud in designing, building and delivering large-scale, secure, and AI-enabled cloud data platforms across multi-cloud environments. Specializes in end-to-end architecture and implementation of the Snowflake AI Data Cloud, integrating Generative AI capabilities to modernize enterprise analytics and enable data-driven decision-making aligned with business objectives.• Provide technical leadership for enterprise data and AI strategy, including architectural frameworks and roadmaps, guiding principles and standards, security and governance, and emerging GenAI technologies ensuring alignment between technology and business priorities.• Design and develop end-to-end data solutions by translating business requirements into technical architecture, data pipelines, transformations, logical and physical data modeling, metadata and lineage, performance tuning, and operational monitoring delivering production-ready platforms that scale with organizational growth.• Empower business users by enabling self-service augmented analytics through cross-functional collaboration between AI, data engineering, and business teams, accelerating time-to-value on data and AI initiatives.• Implement cost optimization strategies across multi-cloud environments with centralized resource usage monitoring dashboards and automated budget controls, driving measurable reductions in cloud spend through anomaly detection and proactive alerting.Data Platform & Analytics Capabilities: • Data Architecture & Engineering, Governance & Security, Modelling & Visualization, AI & ML. • Snowflake, Databricks, Synapse/Fabric, SAP BW/HANA.• SQL, Python, DBT, Azure Data Factory, SAP Data Services, Salesforce Data Loader. • AWS, Azure, Power BI, Tableau, SAP BOBJ/SAC, Collibra, Alation, Splunk, NVivo.• SDLC, PMP, Agile/Scrum, Azure DevOps, GitHub, Jenkins, ServiceNow.
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