Mohsin Ali

I’m a Data Engineering and Cloud Solution Architect with 11+ years of experience designing and modernizing enterprise-scale data platforms, cloud-native solutions, and high-performance ETL/ELT pipelines across AWS, Azure, and GCP. I specialize in Big Data, Data Lakehouse and Data Warehouse architecture, with strong hands-on work in Apache Spark, PySpark, Python, SQL, Databricks, Snowflake, and data orchestration.

I bring healthcare-focused expertise across EHR/EMR, clinical and claims data, HL7/FHIR, and PHI/HIPAA requirements—turning complex interoperability and clinical data needs into practical, governed data platforms. My work emphasizes secure handling, compliance, and reliable clinical data warehousing that supports analytics and operational reporting.

In my current role as a Solution Architect, I’ve led modernization and architecture efforts that improved platform scalability, reliability, and performance by 40%, and reduced infrastructure and operational costs by 30%. I also define standards for data modeling, governance, observability, CI/CD, and Infrastructure as Code, ensuring teams deliver faster through architecture reviews and mentoring.

Across prior roles—from Senior Data Engineer (Healthcare) to Data Engineer and ETL/Data Warehouse Engineer—I’ve built scalable batch and streaming pipelines, implemented data quality/reconciliation and lineage, and delivered analytical data marts for reporting, population health, and performance insights. I’m driven by secure, reliable data foundations that enable advanced analytics and AI/ML while keeping governance and cost control front and center.