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Chris Crawford

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Sr. Solutions Archtect Databricks

Chris Crawford is a Senior Solutions Architect at Databricks. Chris has worked in the Big Data space for nearly a decade where he designed on-prem, Hadoop-based architectures architectures and now cloud-based solutions. He has consulted on projects in multiple verticals to include Accenture, Hewlett Packard Enterprise, Wells Fargo, Hartsfield-Jackson Airport in Atlanta, and US Intelligence Agencies. Mr. Crawford is a graduate of Auburn University where he holds an MBA and Bachelor’s in Molecular Biology. Mr. Crawford holds multiple certifications from AWS, The Cloud Native Computing Foundation (CNCF), and Databricks. He also was awarded a patent in 2021 for his design of a SIEM on Kubernetes.

Bio from: Data + AI Summit 2025

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From Days to Seconds — Reducing Query Times on Large Geospatial Datasets by 99%

From Days to Seconds — Reducing Query Times on Large Geospatial Datasets by 99%

2025-06-10 · Data + AI Summit 2025 Watch
talk
with Chris Crawford (Databricks) , Hobson Bryan (Global Water Security Center)
CI/CD Data Lakehouse Databricks Git Cyber Security Spark

The Global Water Security Center translates environmental science into actionable insights for the U.S. Department of Defense. Prior to incorporating Databricks, responding to these requests required querying approximately five hundred thousand raster files representing over five hundred billion points. By leveraging lakehouse architecture, Databricks Auto Loader, Spark Streaming, Databricks Spatial SQL, H3 geospatial indexing and Databricks Liquid Clustering, we were able to drastically reduce our “time to analysis” from multiple business days to a matter of seconds. Now, our data scientists execute queries on pre-computed tables in Databricks, resulting in a “time to analysis” that is 99% faster, giving our teams more time for deeper analysis of the data. Additionally, we’ve incorporated Databricks Workflows, Databricks Asset Bundles, Git and Git Actions to support CI/CD across workspaces. We completed this work in close partnership with Databricks.