Alina Paudel

I am a results-driven Data Engineer with 6+ years building secure, scalable data platforms across healthcare, insurance, and behavioral analytics. I specialize in real-time and batch pipelines using PySpark, Kafka, and dbt across AWS, Azure, and GCP.

At Diverge Health and Spring Health I delivered production-grade ELT and streaming systems, enabling reverse ETL with Hightouch that improved patient outreach targeting by 30% and reduced issue detection time by 50%. I drove data quality and governance—implementing Great Expectations, dbt tests, metadata lineage, and HIPAA-compliant controls—to sustain 99%+ accuracy and improve audit readiness. I also optimized cloud costs and performance, reducing processing times and cloud expenses through query tuning, auto-scaling, and architecture changes.

I enjoy collaborating with product, clinical, and data science teams to translate business requirements into analytics, dashboards, and ML-ready features. I’m seeking roles where I can lead engineering of resilient, cost-effective data platforms and mentor teams while delivering measurable business outcomes.