# Evan C. > Software Engineer Location: San Francisco Bay Area, United States Profile: https://flows.cv/evanc • Objective: Accomplished Software Engineer with expertise in cloud-based web applications, data engineering, and geographic information systems (GIS), seeking a role to develop enterprise-level solutions harnessing big data knowledge. Proficient in back-end development and recognized for enhancing application resilience. Passionate about integrating cutting-edge technologies for top-tier enterprise products. • Languages: Proficient: JavaScript, Java, TypeScript; Experienced: Python, HTML, CSS • Database: MySQL, PostgreSQL, MongoDB • Tech Skills: Node.js, Express, Bootstrap, RESTful APIs, Web development, Microservices, MVC Framework, Amazon Web Service (AWS), Cloud Development Kits (CDK), Heroku, Spring Boot, Maven, RabbitMQ, Docker, IntelliJ, VS Code, Postman, Redis, Git, Github, Object-Oriented Programming, GIS Analysis, QGIS. ## Work Experience ### Software Engineer @ Epik Solutions Jan 2024 – Present | San Francisco Bay Area ### Software Engineer @ Amazon Jan 2022 – Jan 2023 | 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. • Programmed Lambda applications in Java, optimizing design based on execution time, complexity, and costs. • Adopted Git for versioning and collaborated with multiple team members. • Designed CI/CD pipelines for application releases, using Agile methodologies, from personal tests to production deployments. • Managed on-call duties, addressing 15-20 urgent tickets weekly, ensuring optimal user experience and ticket prioritization. • Participated in weekly DevOps and Bug Bash meetings, identifying system issues and formulating stability plans. ### Transit Data City Expert @ Cognizant Jan 2021 – Jan 2021 | 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 other geographical data. • 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. • Conducted spatial and transit data comparative analysis before and after updates, ensuring data integration and validation outcomes met anticipated standards. ### Data Analyst - (Apple via Apex Systems) @ Apple Jan 2018 – Jan 2021 | 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%. • Established new repository IDs with Quark and imported integrated data for further validation. • Executed over 100 validation tasks using Spectrum to monitor data quality. • Managed and developed over 150 batch data modification codes, adjusting logic based on validation results. • Visualized and edited map data using tools like Fusion X and QGIS. • Collaborated with teams using Git for version control. • Conducted spatial and data quality analysis, ensuring the accuracy of data integration processes. ## Education ### Master's in Urban planning Specialize in Geographic Information Science University of Wisconsin-Madison ### Bachelor's degree in Finance, General Ming Chuan University ## Contact & Social - LinkedIn: https://linkedin.com/in/evan-c-9978a681 - GitHub: https://github.com/scheng0718 --- Source: https://flows.cv/evanc JSON Resume: https://flows.cv/evanc/resume.json Last updated: 2026-04-10