Mobeen Ashraf

I am a Senior Data Engineer with 9+ years of experience designing, building, and operating enterprise-scale data platforms across healthcare, fintech, and other regulated industries. I focus on multi-cloud architectures (AWS, Azure, GCP), lakehouse designs (Databricks, Delta Lake, Snowflake), and end-to-end data engineering including ingestion, transformation, orchestration, streaming, governance, and security.

I have delivered high-volume Spark pipelines processing TB-scale healthcare datasets daily, built CDC and API ingestion frameworks (Debezium, AWS DMS, Kafka, Kinesis), and implemented dbt as the enterprise transformation layer to enforce quality and governance. I led initiatives that reduced data incidents by 57% through a metadata-driven observability platform and cut data onboarding time from weeks to hours with a HIPAA-compliant self-service ingestion framework.

I am a proven technical leader who owns platform architecture, CI/CD automation, observability, and cost optimization while mentoring engineers and partnering with product, analytics, clinical, and ML stakeholders. I prioritize secure, compliant solutions for PHI/PII, and enable analytics and ML workflows with curated, feature-ready datasets.