Mark Cho Email & Phone Number

Los Gatos, CA, US

Working on Stream Processing Platform team

San Francisco, California, US

Data Platform Engineer - Stream Processing Platform (April 2017 - Current)- Built a new data warehouse platform for stream processing on top of HDFS to power real-time data use cases (Spark, Hive Metastore, Presto)- Developed a Spark Streaming job to persist data from Kafka into the data warehouse (HDFS, Hive Metastore) in real-time- Implemented a disaster.

San Francisco, CA, US

• Worked on the Twitter Cards Analytics team, implementing a portion of Twitter Cards Analytics platform.
• Worked with Scala, JavaScript (Flight.js), html, and LESS to implement various features such as Top Metrics (URL, Tweets, Accounts) tables.
• https://blog.twitter.com/2014/introducing-analytics-for-twitter-cards

Mountain View, CA, US

• Worked on the Google AdWords Reports team, implementing Auction Insights v2.
• Implemented new views in AdWords custom query engine to fetch and organize the data in the back-end
• Modified the Ads API to support the new views, which makes the queries to the query engine on behalf of the front-endImplemented the UI for the new feature in Java, using Google Web Toolkit
• Optimized the UI using split points to asynchronously download the components for the new feature instead of on page load

Sunnyvale, CA, US

• Worked on LinkedIn Groups team for the first half of my internship. The project I worked on was the Group Skills feature, which exposes the unique skills of groups based on its members.
• Wrote and optimized Hadoop jobs in Pig Latin to compute and organize the relevant data
• Pushed the computed data into Voldemort (distributed key-value storage) for real-time access
• Wrote the back-end code in Java, which fetches the unique skills of a group from Voldemort storage and serves it to the front-end using REST.li (LinkedIn's RESTful service invocation framework)
• Wrote unit tests for back-end code using TestNG and EasyMockWorked on a team responsible for creating a new product (to be announced in the future) for the second half of my internship. While I was on this team, I.
• Wrote the back-end code in Java and Scala to communicate requests made from the front-end to ESPRESSO (LinkedIn's distributed database system)

Waterloo, Ontario, CA

• Worked on the QNX Phone Service team and QNX SMS Team, developing critical components for the next-generation BlackBerry phone operating system (BBX/BB10).
• Independently developed the middleware (service layer) for Cell Broadcast Service in C
• Quickly learned Python in order to implement critical features such as Missed Call Notifications for BBX/BB10 phones
• Implemented the SMS Replacement feature, as defined by the 3GPP specifications, using Python
• Optimized the Call Logs engine by implementing Call Logs notification in Python
• Tools/Framework used: SQLite, SQLAlchemy, and Bottle server (REST) for Python projects

Calgary, AB, CA

• Developed a JavaScript plugin to the web-based CRM software using jQuery
• Developed a script runner extension for the Windows-based CRM software using.NET framework in C#
• Planned and implemented an asynchronous load test application for the QA team to test the reverse proxy software
• Fixed bugs and refactored the reverse proxy software to comply with the new requirements
• Extended the functional test framework developed during the first work term to support the new reverse proxy software using Kayak, an asynchronous HTTP server in C#

Calgary, AB, CA

• Developed an automated functional test framework in C# for Aria Solution's web-based CRM software
• Developed test cases for the test framework using Selenium/Webdriver framework
• Used NAnt build scripts and Hudson to execute the automated tests with the nightly build