Hass Yunas

At Healthix, I build multi-cloud healthcare data platforms processing 10TB+ daily across clinical, claims, provider, patient, payer, member, and quality-measure data. I’ve delivered 200+ batch, micro-batch, and real-time ETL/ELT pipelines supporting 50+ downstream consumers and 500+ users. I modernize legacy workflows into lakehouse architectures using Databricks, Snowflake, Spark, Delta Lake, Apache Iceberg, Kafka, Airflow, and dbt. My work has improved pipeline performance by 45%, reduced infrastructure costs by about 30%, cut query runtimes by 60%, and supported millions of streaming events per hour at 99.9% uptime. I lead governance, CI/CD, and architecture decisions while partnering with clinical, product, analytics, and data science teams. I also mentor engineers and build reliable AI/LLM data pipelines for RAG-based clinical insights and production ML applications.