Dhaval Durve is a Cloud Data Engineer with over 14 years of experience building petabyte-scale data warehouses, lakes, and high-volume ETL pipelines for enterprises and strategic Google Cloud customers. He blends hands-on engineering—developing complex analytics, dashboards, and custom tools—with architecture and implementation experience across on-prem and cloud ecosystems. At Google and Discord he has led migrations to cloud-native platforms and delivered risk and executive dashboards that drive business decisions. He also has a strong operational bent, contributing to open-source tooling (e.g., containerization, CLI and CI/CD enhancements to a GoogleCloudPlatform data-validator) that underscores his backend and DevOps fluency. Based in the San Francisco Bay Area, he pairs deep performance optimization experience (including a 900% runtime improvement on a tax compute app at EY) with a track record of rapidly ramping and leading teams to execute complex data programs.
8 years of coding experience
15 years of employment as a software developer
Masters, Computer and Information Science, Masters, Computer and Information Science at Cleveland State University
BE, Computer Science, BE, Computer Science at The Maharaja Sayajirao University of Baroda
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Role in this project:
Back-end & DevOps Engineer
Contributions:18 commits in 6 months
Contributions summary:Dhaval contributed to the data validation utility by implementing a Dockerfile for containerization, enhancing the command-line interface (CLI) for filter functionalities, and integrating the schema validation framework. The user also made several updates related to CI/CD, including changes to the release script and fixes for integration test issues. These contributions showcase their involvement in both backend functionalities and the operational aspects of the project.
Contributions:11 commits, 10 pushes, 1 branch in 7 months
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