Matthew Dale

Staff Software Engineer

• Improved scalability of GDPR compliance systems that evaluated over 500 billion records weekly.
• Removed artificial concurrency limits in Airflow DAG structure, replacing them with flexible parallelism limits using Airflow task pools.
• Experimented with rewriting Apache Crunch ETL jobs as Spark ETL jobs to improve reliability on Google Cloud Dataproc.
• Helped reduce team’s average weekly alerts by 50% by implementing quarterly operational excellence reviews and specifying improvement action items.
• Split monolithic Gradle projects into smaller subprojects to exclude unnecessary dependencies and shrink various JAR sizes by over 150Mb.

Staff Software Engineer

• Built and maintained analytics systems for search user engagement and content quality.
• Built and optimized Spark jobs to join millions of disparate search logs to build unified datasets used to optimize search results and increase user engagement.
• Optimized Looker data models to reduce dashboard refresh times by 80%.
• Collaborated with the search content team to plan and implement a quarterly roadmap of content quality metrics and insights.
• Migrated ad attribution logic and data, including over 50 billion historical records, into the Branch attribution systems to support a product acquisition and customer migration.
• Built Spark jobs to filter out unnecessary data from billions of attribution logs, reducing the overall import data volume by over 30%.
• Implemented an on-call review strategy that exposed common failures of the high- availability ad attribution pipeline, resulting in a sustained reduction in on-call pages.

Software Engineer 4

Software Engineer 3

Software Engineer

• Subject-matter expert and technical leader for the Go programming language at TUNE.
• Owned the migration of a high-volume web service from AWS EC2 hardware to shared and autoscaled AWS ECS hardware, saving over $20k/month.
• Owned development and deployment of an AWS SQS message packing library that reduced SQS API call frequency by over 50%, saving over $20k/month.
• Coordinated the application update component of a data deletion project that reduced DynamoDB storage cost by over $200k/month.
• Researched Go scheduler performance, focusing on avoiding the pitfalls of Go's semi- preemptive scheduler, and delivered findings in a presentation at a Seattle Go Meetup.

Associate Member Technical Staff

• Developed features for and supported the Publisher product, a social media marketing automation and management cloud application.

Georgia Institute of Technology