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Owns and secures GE HealthCare’s AI Data Loss Prevention platform, engineering DLP policies and automation to protect AI-related data across cloud, endpoints, and networks while enabling responsible AI use.
Design and build large-scale data systems that power AI-driven health insights for millions, using C++, Java, and Python.
Leads the design and implementation of scalable backend services for BlackLine's data platform, building integrations with ERP, banking, payments, tax, and subledger systems while mentoring engineers.
Designs and builds data-security features for Netwrix’s NPS Discovery platform using TypeScript, Python, and React.
Designs real-time data pipelines and AI models that turn raw commerce events into structured intelligence for autonomous checkout optimization and agentic commerce decisions.
Build and own the analytics platform for an AI-powered SaaS product, designing Snowflake data flows, modeling data for reliability, and delivering insights via Power BI while mentoring engineers.
Architect and own the analytics/data platform for an AI-powered SaaS product, modeling data in Snowflake and delivering insights via Power BI while mentoring engineers.
Builds and maintains data pipelines and warehousing systems to power product analytics and insights at Zendesk.
Build and scale the data backbone for an AI-powered recruiting platform, designing PostgreSQL/Opensearch pipelines, ETL workflows, and cloud-native infrastructure to power search, analytics, and AI features.
Designs event-driven data architectures and data contracts for a media company, ensuring scalable, reliable data flows and schema governance.
Design and maintain high-scale data pipelines processing billions of ad events daily, modernize legacy systems into cloud-native lakehouse architectures, and ensure low-latency, privacy-compliant data delivery for monetization and decisioning.
Designs and maintains high-scale data pipelines processing billions of ad events daily, modernizes legacy ad-tech systems into cloud-native lakehouse architectures, and ensures reliable, low-latency data delivery for monetization and analytics.
Senior Staff Data Engineer builds and optimizes high-throughput ad-tech pipelines processing billions of daily events, modernizing legacy systems into cloud-native lakehouse architectures.
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Build AI-powered agentic tools for Google Kubernetes Engine, leading full-stack development with Go, TypeScript, and cloud services to simplify cluster management.
Lead full-stack development for an AI-driven restaurant growth platform using TypeScript, React, Next.js, Node.js, and MongoDB, while mentoring engineers and owning features end-to-end.
Design and maintain scalable, event-driven data systems for a large marketplace ecosystem using Kafka, CDC, and cloud data platforms like BigQuery or Snowflake.
Build and deploy a GenAI platform and AI agents for healthcare, focusing on scalable full-stack development, cloud-native systems, and secure AI workflows to accelerate medical decision-making.
Staff Engineer designs and maintains scalable GCP cloud infrastructure and Kubernetes clusters for global media APIs handling 1B+ daily requests, using Terraform, Helm, and observability tools.
Staff Full-Stack Engineer building AI-powered systems on GKE to simplify cluster management and feature discovery, while mentoring engineers and shaping cloud platform strategy.
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