Hamza Ali

I’m a Senior Data Engineer with 7+ years of hands-on experience designing, building, and optimizing large-scale data pipelines, cloud data platforms, and analytics infrastructure across diverse industries. I’m known for translating complex business requirements into robust, scalable, and cost-efficient data systems.

In my most recent role, I architected and implemented a multi-layer Databricks lakehouse on Delta Lake with Medallion Architecture—reducing query latency by 40% and cutting storage costs by 30%. I’ve delivered end-to-end ELT pipelines using dbt and Snowflake for 200+ business users, and built automated ingestion with Snowpipe and Snowflake Streams/Tasks to enable near-real-time CDC reporting.

I also lead cloud infrastructure provisioning with Terraform across AWS and Azure, orchestrate multi-stage workflows processing 5TB+ daily, and partner closely with data science teams on feature engineering pipelines for ML training and inference at scale. I’m equally focused on reliability—establishing data quality frameworks with Great Expectations to achieve 99.5% data reliability SLA—and I’ve mentored a team of 3 junior data engineers through code reviews and best practices.