BigQuery Team

Technical Lead for the architecture and redesign of the next-generation Dataproc Metastore: a fully managed, highly available, multi-regional, auto-healing serverless metastore supporting Apache Hadoop ecosystem workloads.

• Re-architected both control and data planes from GKE to Cloud Run, moving our service to a serverless deployment.

• Reduced infrastructure costs by 72% and improved startup latency by 55% while enhancing scalability and reliability.

• Ensured full feature parity between legacy and serverless systems, adapting 8 years of prior feature work to new, serverless acrchitecture, enabling seamless transitions for customers.

• Designed and executed zero-downtime migrations, with no impact to production workloads.

• Cut inactionable oncall alerts by 88%, improving operational efficiency and team productivity.

BigLake Metastore & Iceberg REST Catalog

Contributed to the development of BigLake Metastore: a unified, serverless metadata platform that connects Cloud Storage and BigQuery data to engines like Apache Spark, Apache Flink, and BigQuery SQL.

• Delivered features enabling cross-engine metadata interoperability via the Apache Iceberg REST catalog.

• Helped establish a single source of truth for Iceberg data, improving consistency and discoverability across compute engines.

• Built and maintained entire full stack features involving frontend (Javascript, Typescript, React), to backend and API layer (Python, Flask, SQLAlchemy, Django)

• Owned features from technical design and architecture through scoping and implementation

• Managed teams of up to four engineers as a technical lead and IC on mission critical projects

• Architected services which led to improving user engagement by 26%

• Developed components of web based application, requiring state management (Redux, etc), and implemented a complete overhaul of UX based on customer needs.

• Designed and implemented backend REST API to send and process map data and render as a 3D model

• Developed a component-based frontend framework to automate and reduce new website and feature development time as much as 80%, while ensuring feature consistency.

• Migrated codebase from a predominately Javascript/React web app to a TypeScript/React web app, hosted on AWS

• Used AWS EC2 instances to implement test deploys with remote access

• Used VBA and Python to design, analyze, and deploy CE applications adopted company-wide

• Performed technical analysis with civil engineering software for various projects including the $1 billion G.S. Warriors Arena (Chase Center), and $1.6 billion Oceanwide Center

• Updated outdated technology stacks for more efficient analysis/design tools

• Conveyed technical calculations and data to clients to assist in informed design, scheduling, and budgeting