Data Pipeline
@datapipeline
Senior Healthcare Data Architect and Cloud Data Engineer specializing in scalable AWS data platforms.
United StatesWhat I'm looking for
I am a Senior Data Engineer and Healthcare Data Architect with over eight years building scalable, secure data infrastructures in AWS. I specialize in modern Lakehouse architectures, real-time streaming, and Big Data processing using Databricks, Snowflake, Spark, and Kafka.
My work emphasizes healthcare data integration and regulatory compliance, including PHI handling, HIPAA, HL7, and FHIR transformations. I have led migrations from on-prem Hadoop to cloud-native warehouses and implemented encryption, masking, and RBAC to protect sensitive data.
At Intuit I architected a real-time fraud detection engine with Kafka and Spark Streaming, built ACID-compliant Lakehouses, and automated audit-trail pipelines to meet SOX and PCI-DSS requirements. Previously, I delivered multi-tenant Snowflake pipelines, FinOps monitoring, and Terraform-based regional stacks that enabled rapid geographic expansion.
I prioritize observability, data lineage, and automated CI/CD for data workflows, and I enjoy modernizing enterprise data initiatives to deliver secure, cost-efficient analytics and real-time capabilities that drive business outcomes.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Intuit
Oct 2021 - Present (4 years 5 months)
Architected a real-time fraud detection engine using Kafka and Spark Streaming with sub-second latency and implemented ACID-compliant Lakehouse architectures on Databricks to ensure exactly-once processing and auditability for financial ledgers.
Senior Distributed Systems Engineer
Census
Sep 2018 - Sep 2021 (3 years)
Built multi-tenant data pipelines with logical isolation in Snowflake, deployed Terraform IaC for regional data stacks to enable rapid geographic expansion, and implemented FinOps monitoring to optimize cloud spend per tenant.
Standardized clinical data into FHIR/HL7 formats and engineered a HIPAA-compliant AWS Data Lake, migrating from on-premise Hadoop to Snowflake to accelerate patient population reporting by 60%.
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Data hasn't added their education
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