Ali Bangash

I am a hands-on Lead Data Engineer and Data Architect with 8+ years building cloud-native data platforms across AWS, Azure, and GCP. I specialize in Lakehouse/Delta architectures, streaming and batch pipelines, and analytics layers that are observable, governed, and cost-efficient.

I have consolidated 100+ TB into a Databricks Lakehouse, reduced end-to-end latency from 24 hours to under 2 hours, and drove approximately 30% cost savings through right-sizing and automation.

I design and productionize pipelines using Airflow, Databricks, Spark, Kafka, ADF, and dbt, and build warehouses in Snowflake, Redshift, and BigQuery. I implement automated data quality with Great Expectations, enforce data contracts, and establish CI/CD, runbooks, and observability to improve reliability. I partner closely with product, data science, and BI to operationalize models and accelerate insights.

I enjoy mentoring engineers, improving onboarding velocity, and delivering pragmatic, scalable solutions that balance governance, performance, and cost.