Moh Safdar

I’m a Principal Data Architect with a strong background in deploying cloud-native solutions for HIPAA-compliant healthcare and financial services. In my current role, I lead the architecture and development of scalable data platforms designed to be secure, reliable, and built for modern teams.

I build modular pipelines with Airflow, Glue, and Redshift to process terabytes of streaming and batch data. I also integrate observability with Prometheus and Grafana, reducing incident resolution time by 40%, and I design reusable Terraform modules and CI/CD templates to accelerate onboarding and improve deployment efficiency.

Previously, as a Senior Data Engineer, I designed data lakehouses using Snowflake, Delta Lake, and AWS S3, improving storage efficiency and accessibility. I implemented automated ingestion pipelines with Kafka and dbt, improving reliability and reducing errors by 50%, optimized ETL processes to cut compute costs by 30%, and spearheaded migration from legacy on-prem to AWS, reducing infrastructure costs by 35%.

Earlier in my career, I built cloud-native pipelines with Python and Spark and managed warehouses on Redshift and BigQuery for faster analytics. I also created data monitoring dashboards to improve SLA compliance, partnered with data scientists on real-time feature stores, and developed early MLOps workflows—an approach I continue to bring to my transition toward Site Reliability Engineering.