Mohammed Azhar Ali

At Ventus Softtech, I build Snowflake and DBT ELT pipelines for Applied Materials, transforming multi-terabyte datasets into analytics-ready layers for semiconductor manufacturing operations. I've implemented Snowpipe and Kafka ingestion from AWS S3, reducing processing latency by 40%, and optimized warehouse sizing, clustering, and SQL to reduce compute credits by 25%.

I've migrated legacy Informatica and Control-M workflows to modern cloud architectures, built CDC processing with Snowflake Streams and Tasks, and developed reusable DBT models with automated testing and documentation. I also deployed GCP architectures for IoT sensor analytics and predictive models that improved operational uptime by 22%.

Previously at NSW Justice Health, I delivered SQL validation, Power BI dashboards, and automated reporting that supported healthcare operations with over 99% data accuracy.