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Builds and maintains secure data pipelines, semantic models, and Power BI reports in Microsoft Fabric, ensuring governed, scalable analytics and AI-ready data layers.
Lead presales architecture role designing Elastic Stack solutions for enterprise search, observability, and security, including AI-powered search and RAG pipelines.
Lead a team of Data Engineers to build scalable data solutions for DraftKings' customer-focused systems, using cloud platforms like Snowflake and Databricks, while advancing AI-enabled development practices.
Design and validate cybersecurity delivery architectures for Palo Alto Networks' Cortex XSIAM platform, leading hands-on deployments and refining SOC-focused execution frameworks.
Owns the Transaction Monitoring product for an AI-powered AML/CLM platform, translating regulatory needs into features like detection engines, AI models, and alert management for financial institutions.
Lead enterprise GenAI strategy, architect scalable AI systems, and advise C-suite on tech stacks, trade-offs, and ROI for large client engagements.
Build and maintain cloud-based data pipelines using Snowflake, SQL, and ETL/ELT tools to feed analytics and reporting systems.
Design and enable managed security services for MSSP partners by architecting scalable, multi-tenant security solutions on CrowdStrike’s AI-native platform and driving partner adoption and growth.
Build and maintain SCOR’s enterprise data platforms (Databricks, Palantir Foundry) by automating pipelines, monitoring, and access controls to enable secure, scalable data delivery for analytics teams.
Build and maintain Workday configurations, reports, and lightweight extensions to deliver HR and finance solutions for stakeholders.
Senior Data Scientist builds optimization and predictive models to power Nike’s global supply chain, focusing on sourcing, manufacturing, and supply planning using Python, SQL, and cloud platforms.
Lead the design and scaling of data pipelines and labeling workflows that power Cisco’s AI models, focusing on high-quality training data for LLMs and agents.
Design and maintain enterprise-scale cloud data platforms, data lakes, and lakehouses to power BI, AI/ML, and real-time analytics using AWS, Snowflake, Spark, Kafka, and Python.
Build and maintain PySpark/Hadoop pipelines to process marketing data, support A/B testing and MMM, and enable CRM/CDP analytics for Visa’s global campaigns.
Build and deploy LLM-powered applications for federal clients, implementing RAG pipelines, prompt engineering, and production AI infrastructure using Python, FastAPI, and cloud services.
Build and optimize production-grade AI systems using RAG pipelines, vector stores, and cloud-native tools to deliver secure, scalable solutions for federal environments.
Design and build scalable cloud-native data pipelines for high-volume geospatial and environmental datasets, including satellite imagery and radar, using Java, Spring Boot, and AWS.
Lead a team to discover, assess, prioritize, and remediate vulnerabilities across cloud and corporate infrastructure using tools like Qualys and CrowdStrike, driving a shift from reactive patching to proactive risk reduction.
Designs and governs UNLV’s Salesforce Education Cloud ecosystem, integrating data and AI agents to improve student, faculty, and staff outcomes.
Principal Test Engineer defining verification strategies for cloud-based, distributed mission applications handling secure data ingestion and tagging, using DevSecOps pipelines and automated testing.
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