Hamza Khalid

I’ve been leading enterprise data platform work at Geminus, architecting cloud-native warehouses and lakehouse pipelines across Snowflake, Databricks, AWS, Azure, and GCP. I’ve built Bronze–Silver–Gold Medallion architectures, reusable dbt models with testing and incremental processing, and production-grade ML feature pipelines.

I design governed Snowflake patterns like Dynamic Tables, Streams, Tasks, Secure Views, and Row Access Policies, plus event-driven dataflows using Kafka, Snowpipe Streaming, and Azure Event Hub. I also implement monitoring, observability, lineage, and data quality frameworks, and mentor engineers through architecture and code reviews.

Before that, at Airbyte I developed enterprise ETL/ELT pipelines with Python and SQL, built Databricks Delta Lake architectures, and automated ingestion and CI/CD. Earlier at Analytics8, I delivered data warehouses, tuned SQL for warehouse performance, and built Power BI/Tableau reporting solutions.