Aaron Opell

• Implemented a system to accurately measure and record AI feature usage and display that information to customers as part of Atlassian's shift from seat-based to usage-based pricing
• Designed a distributed tracing system to solve the challenge of tracking user acquisition by linking frontend behavioral events to backend identity platform audit logs
• Coordinated a 5-team, 3-month implementation and validation effort, successfully identifying the product flows driving the most user additions by administrators; built a data pipeline to measure the results on an ongoing basis

• Built an end-to-end data pipeline processing analytics events for AI features to assess adoption and display trends to business stakeholders using Databricks SQL, Apache Airflow, and Tableau
• Updated and redesigned the Visual Studio Code extension for an internal data pipeline library using Typescript to improve developer productivity with easier codebase navigation, warning hints, and code generation
• Scaled an LLM-powered internal RAG Slack bot (built with Python Flask) that surfaces similar questions in help channels from a single channel to over 20 channels, reducing engineering support load when on-call

• Designed and built terabyte-scale data pipelines powering critical company metrics such as Monthly Active Users and Recurring Revenue using Databricks SQL and Airflow
• Created a Python library to conduct automated unit testing of SQL pipelines using behavioral definitions written in the Gherkin language, providing a way to test at the SQL CTE level
• Integrated newly released and acquired products into existing pipelines and conducted thorough testing to ensure metrics published in the company's public financial reports were always up to date

• Designed and developed the majority of the full stack for a data journalism tool using Python Flask, MongoDB, and PostgreSQL
• Architected a REST API providing journalists with the ability to customize their visualizations in online articles
• Maintained an Apache Airflow instance and other company infrastructure using S3, EC2, RDS, DocumentDB, Elasticache, and other AWS services
• Built an ETL data pipeline creation library using Python and Airflow, powering automated real-time updates for our data visualizations

• Designed a proposal for and planned the implementation of adding custom alarm names to alarms set via the Alexa voice assistant
• Collaborated with the Alexa Mobile team to integrate the named alarm features into the Alexa mobile app
• Conducted end-to-end testing of the feature on headless, multimodal, and mobile devices to ensure all behavior was correct

• Guided students in learning to write computer programs using languages such as C#, JavaScript, C++, Java, and MS SQL
• Leveraged knowledge of desktop, web, and database technologies to help students create websites, desktop apps, mobile apps, and games
• Assisted students by demonstrating best practices for testing, debugging, and verifying program behavior