Rama Anem
Senior Software Engineering Manager, Data Platform @UnitedHealth Group
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WORK HISTORY
Senior Software Engineering Manager, Data Platform @UnitedHealth Group
Led a global engineering org in modernizing healthcare data ml ops systems, implementing domain-driven architecture on Azure, reducing infra costs by $1M, and improving scalability 3x.• Designed modernized data lakehouse system, supporting $40B in revenue.• Led the transition from monolithic applications to an event-driven architecture, improving system performance by 5x.• Driving AI/ML innovation & cloud-native transformation, resulting in a 3x improvement in system scalability.• Partnered with C-level executives and product teams to define engineering strategy, aligning tech initiatives with business growth, leading to a 25% increase in user engagement.• Built GenAI copilots using LangChain for structured knowledge retrieval + tool invocation.Tech Stack:Azure,Databricks,Azure Data Factory,Synapse,Snowflake,Deltalake,AIML,Github Copilot,Data Lake,MongoDB,Collibra,Pureview,Airflow, Fivetran, OpenMetadata,Master Data Management, Data Hubs,Cosmos DB,Unity Catalog,Great Expectations for data qualityGithub - https://github.com/ranem2
EDUCATION
National Institute of Science and Technology
Bachelor of Engineering in Computer Science
University of Illinois Urbana-Champaign
Master’s Degree in Computer Science, Data Science
SKILLS
ABOUT RAMA ANEM
I am a technology-driven Software Engineering Leader with a proven track record of scaling engineering teams, delivering AI-powered solutions, and driving multi-million-dollar business impact. With expertise in AI, ML, cloud computing, and large-scale distributed data systems, I thrive at the intersection of technology, innovation, and business growth.HighlightsBuilt & Scaled High-Performance Teams – Led and mentored global engineering teams (40+ engineers) across Fortune 500 companies, fostering a culture of innovation, ownership, and agilityScaled a cloud-native data platform serving 60M+ patient records with 99.99% uptime and governed accessEnabled ML-driven clinical risk scoring by launching feature stores and model pipelines integrated with analytics and product workflowsMigrated monolithic data warehouse to a modular domain-oriented Medallion architecture, reducing pipeline failures by 70% and infra costs by 35%Launched enterprise self-serve analytics portal used by 500+ analysts and care teams across clinical ops and business functionsDesigned audit-ready data governance and lineage capabilities that passed HITRUST and SOC2 audits with zero critical findingsCloud & Scalable Architecture – Designed and implemented cloud-native, microservices-based architectures (AWS, Azure, GCP), improving scalability by 3x and cutting infrastructure costs by 40%Partnered with C-level executives and product leaders to align engineering initiatives with business objectives, accelerating time-to-market and increasing user adoptionLed engineering process improvements, CI/CD pipelines, and DevOps automation, reducing deployment time from weeks to hoursDomainsTechnology Healthcare (Insurance,Prior authorization,Claims,EHR)PharmacyEnergySemiconductorKey Areas of Expertise IncludeEngineering Leadership & Organizational ScalingTechnical Strategy & Roadmap ExecutionAI & ML-Driven InnovationCloud Transformation (Azure & AWS)Data Vision, Data as a ProductModern Data Architecture (Data Lakes, Delta Lake, Snowflake, dbt, Synapse)Event-Driven & Microservices ArchitecturesEnterprise Data Warehousing & BI AnalyticsScalable ETL Batch & Real-Time Data Pipelines (Databricks, ADF, Kafka)Agile, Scrum, DevOps & CI/CDCross-Functional & Executive Stakeholder CollaborationCost Optimization & Vendor Contract NegotiationMentoring High-Performance Engineering TeamsAI Code Reviews, GenAI, RAG, Agentic AI ImplementationSecurity, Compliance & Data GovernancePerformance Management, OKRs & Metrics-Driven Culture
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