Evan C. Email & Phone Number

San Francisco Bay Area

Sunnyvale, California, United States

• Redesign and migration of GTCS Sweeper Microservices
• Authored system design documents and collaborated with senior team members, discussing application requirements and design trade-offs.
• Migrated 6+ GTCS sweeper microservices to AWS, enhancing efficiency, scalability, and resilience of the applications.
• Utilized TypeScript within AWS CDK for cloud resources, establishing an efficient data pipeline that improved sweeper services by 30%.
• Developed an event-driven data pipeline, transitioning from a continuous check to event-triggered, reducing latency by 50%-70%.
• Integrated Amazon SQS for message decoupling and initiated SNS notifications upon message reception.

San Jose, California, United States

• Google Map's Transit Data Pipeline
• Spearheaded the integration of public transportation system data from two major U.S. cities, San Francisco and Boston, and two mid-sized Canadian cities within Google Maps, encompassing timetables, route maps, and.
• Maintained the accuracy of GTFS static data and real-time updates for specific regions within Google Maps, leveraging in-house data processing tools for pipeline data validation and modifications.
• Collaborated in cross-departmental meetings with over 25 different transportation agencies and data providers to obtain updated transit data, addressing data discrepancies by making model alterations and adjustments.
• Utilized Java and internal automation for the data ingest process, facilitating data visualization, validation, and adjustments, leading to a 30% efficiency boost in team data processing.
• Defined requirements for RESTful APIs endpoints for the backend team, allowing for data filtration based on diverse criteria and display on the application's dashboard.

Sunnyvale, California, United States

• Apple Map's Territory/Transit/Water Data Pipeline System:
• Integrated geospatial data, including administrative regions, postal codes, hydrology, and road systems for over 20 countries.
• Collaborated in maintaining Apple's Neutron Data Model, adapting product definitions and data outputs for various countries.
• Developed data model designs and integration workflows using Scala/Python, enhancing data pre-processing efficiency by 20%.
• Utilized PostgreSQL to pre-process data inconsistencies and discrepancies, optimizing the computational logic of Scala programs and improving SQL query performance by 50%.
• Employed Hadoop for big data processing, increasing team productivity by 25%.

Master'S, Urban Planning Specialize In Geographic Information Science

Bachelor'S Degree, Finance, General