Austin, Texas, United States
Data Platform Engineer with 8+ years of experience building scalable data pipelines, cloud-native architectures, and enterprise data infrastructure. My daily work centers on Snowflake, Databricks, AWS S3, Java, and Python — designing reliable, high-throughput systems that power data-driven decision-making at scale. For the past 5+ years at Cigna HealthCare, I've led data platform modernization — from migrating enterprise workloads from Aurora to Snowflake (saving $2M+ annually) to engineering Kafka-based ingestion pipelines processing 50M+ records daily with exactly-once delivery. I build modular ETL pipelines with PySpark and Databricks for complex, semi-structured healthcare data, and I ensure the underlying infrastructure (AWS EKS, Terraform, CI/CD) runs reliably beneath it all. A few highlights: → Led Aurora-to-Snowflake migration, reducing infrastructure costs by 75% → Engineered Kafka pipelines processing 50M+ records daily into Snowflake → Built ETL pipelines with PySpark and Databricks for large-scale healthcare data → Managed K8s clusters handling 10M+ daily transactions at 99.9% uptime → Patent pending for an ultra-lightweight wireless in-flight entertainment system I'm passionate about data reliability, engineering culture, and building platforms that let teams trust their data.
→ Led migration from AWS Aurora to Snowflake, reducing infrastructure costs by 75% ($2M+ annual savings) while maintaining enterprise-grade security. → Engineered Kafka-based ingestion pipelines into Snowflake with exactly-once delivery semantics, processing 50M+ records daily. → Developed modular ETL pipelines using PySpark and Databricks for large-scale semi-structured healthcare data processing. → Managed S3 data lake architecture with encryption, lifecycle policies, and IAM controls meeting healthcare compliance standards. → Built automated CI/CD delivery pipelines (Jenkins, Terraform, Helm) for data platform infrastructure. → Architected internal AI tools analyzing complex healthcare data patterns, reducing data quality issues by 25%. → Spearheaded LLM integration (Cursor, Kiro), cutting development cycle time by 20%. → Built observability stack (CloudWatch, Splunk, Grafana, Dynatrace) with proactive alerting, reducing MTTR by 40%.
→ Decomposed monolithic services into testable microservices, reducing technical debt and cross-service dependencies. → Standardized RESTful API contracts with Swagger/OpenAPI, improving developer onboarding time by 30%. → Built regression and load test suites (JUnit, JMeter), reducing production incidents by 40%. → Championed domain-driven design (DDD), improving microservice alignment to business contexts organization-wide. → Partnered with Product Managers and Architects on technical roadmaps spanning 12+ quarterly releases. → Mentored 5+ junior engineers through onboarding, creating internal documentation and runbooks.
→Built and maintained microservices on AWS EC2 and ECS using auto-scaling groups for large-scale workloads. →Developed modular ETL pipelines using PySpark and Databricks for semi-structured healthcare data processing. →Managed IAM roles, VPC configurations, and S3 encryption to meet healthcare security and compliance standards.
→Contributed to containerized application deployments on Kubernetes and OpenShift. →Conducted JVM tuning and performance profiling, increasing throughput by 30%+ during peak loads. →Led root cause analysis and post-mortem reviews, implementing preventive measures that cut repeat incidents by 50%.
→Re-engineered backend components of Android applications (Java, XML), reducing bug reports by 15% and improving feature delivery velocity. →Designed cross-platform mobile apps with enhanced accessibility, achieving 22% faster load times.
→Developed soil-based weather monitoring application (Python, Arduino) achieving 95% accuracy in data collection for Indian Air Force operations. →Redesigned CPDM departmental website (JavaScript, React.js), improving performance by 17%.