At DMI, I consolidated more than twenty-five source systems into a Databricks Lakehouse and migrated sixty legacy ETL workflows without data loss. I also engineered Spark and PySpark pipelines processing more than six terabytes of data daily.
I maintain more than eighty production pipelines across Azure Data Factory, AWS Glue, and EMR. I established governance and automated quality controls across more than one hundred fifty datasets, and standardized CI/CD practices with Terraform and Git.
At Fynite, I built Azure Data Factory and Databricks pipelines processing more than three terabytes of healthcare data daily. Earlier at HealthStream, I developed HIPAA-compliant ETL pipelines and introduced FHIR-based interoperability models for healthcare data exchange.
