Bria Yasir

I am a Data Engineering Specialist with over a decade of experience designing and leading large-scale data platforms across healthcare, life sciences, finance, and enterprise domains. My expertise spans cloud-native ecosystems (AWS, Azure, GCP), modern lakehouse architectures (Databricks Delta Lake, Snowflake), and end-to-end ETL/ELT pipeline design, enabling advanced analytics and machine learning.

I have successfully architected HIPAA-compliant healthcare lakehouses, delivered predictive patient analytics, and modernized financial fraud detection pipelines using Spark, Kafka, and real-time streaming frameworks. My strengths include building governed, scalable, and ML-ready datasets, driving automation through CI/CD and infrastructure-as-code, and optimizing compute/storage to reduce costs by over 35%.

Beyond technical delivery, I thrive in leadership roles mentoring engineers, shaping architecture roadmaps, and aligning data strategies with business goals. I am particularly passionate about applying data engineering to healthcare and oncology, where I can directly contribute to improved patient outcomes and early disease detection.

Outside of work, I actively explore emerging technologies like vector databases, MLOps frameworks, and data mesh strategies to stay ahead of industry trends. My career focus remains on transforming complex data ecosystems into simplified, future-ready solutions that empower innovation and decision-making.