The company's first data engineer, building and maintaining data tooling, empowering analysts and data scientists, supporting the Risk team to fight fraud, sharing and receiving data from external partners, and understanding the company's data privacy-related exposure.

Solving problems related to cloud networking, infrastructure efficiency, and the data platform using Apache Spark.

Designed and delivered data pipelines, frameworks, and services to power artist and label facing tooling, while also identifying and realizing cloud cost savings opportunities throughout the company and evangelizing data engineering best practices.Tools: Scio (Google Cloud Dataflow), Google BigQuery, Google BigTable, LuigiLanguages: Scala, Java, Python, Javascript- Delivered a commerce integration proof-of-concept which has been greenlit to be a full-fledged product.- Prototyped tooling with a React front-end and Java backend to identify cost savings opportunities, and realized over $4 million dollars in data retention, storage egress, and pipeline optimization savings.- Founded a working group to identify and implement cost savings initiatives within the Marketplace line of business.- Conducted a technical spike on the feasibility of creating differentially private data sharing products.- Refactored the Spotify for Artists notification system to include greater code structure and consistency and to better support contributions from other teams.- Taught internal courses on advanced data pipeline optimization strategies- Devised and evangelized code organization, style, and Scala best practices for data pipeline development.

Designed and delivered ETL pipelines and frameworks to power decision-making for the Bikes & Scooters line of business.Tools: Airflow, Hive, Presto, Google BigQuery, Apache FlinkLanguages: Python, Java, SQL

Designed and delivered pipelines and services to drive data products.Tools: Scio (Google Cloud Dataflow), Scalding, Apache Crunch, Google BigQuery, Google BigTable, Google Cloud SQL, GraphQL, Elasticsearch, LuigiLanguages: Scala, Java, Python- Developed Java backend micro-services and Scala pipelines to power artist and rightsholder facing playlist pitching platform- Rolled out the next iteration of Spotify’s engineering career development framework to empower engineers to grow as either individual contributors or managers- Prototyped real-time stream count service and pipeline, which was sponsored and productionized into the Spotify for Artists mobile app- Devised and implemented attribution model and Scala pipeline to track downstream streams of tracks stemming from on-platform and off-platform campaigns- Built data pipelines to target drop-day new release notifications to fans and followers of artists with new content- Developed data pipelines driving metrics in Spotify Fan Insights, the first iteration of Spotify for Artists, using Apache Crunch framework

- Supported A/B testing of music recommendation features and evaluated test results- Conducted in-depth investigations into how users engage with programmed music features andrecommendations to drive product development- Defined squad metrics and created pipelines and dashboards to track progress and growth

- Analyzed feature effectiveness in surfacing new and relevant track and artist discoveries, and createda data pipeline to track music discovery- Created an email database and pipeline to drive marketing and trial retention email campaigns- Developed metadata pipeline to integrate ad server and sales data with Hadoop data to allow forimproved ad metrics reporting- Supported various departments (Ads, Marketing, Content, PR, Product, BD, Legal) with ongoinganalyses, data pipeline implementation, A/B test evaluations, and dashboard development

- Optimized term product renewal pricing to maximize spread revenue by creating elasticity models in SAS- Created a dynamic small business checking lineup restructuring tool with an Excel front-end and Access back-end for a leading Canadian bank- Installed and implemented a deposit pricing tool for a leading U.S. regional bank

- Developed a proactive investment strategy for a $1B private equity fund- Devised a growth strategy model for a $1.2B exterior building products manufacturer and supplier- Conducted an operations diagnostic assessment for a $45MM producer of personal care products- Performed customer and market due diligence research for a $200MM safety products manufacturer

- Conducted extensive research and performed analyses based on historical and projected financial data to identify industry trends for use in company presentations- Created profiles of potentially acquirable utility assets and power plants for use in pitch materials - Generated acquisition and trading comparables from various financial and regulatory documents for a board presentation

Assisted Senior Lecturer John Akula in his research of carbon emissions trading, EU transportation law, and anti-monopoly law.

- Researched and devised a search engine optimization plan to improve traffic to the startup company’s website - Created a plan to improve community building among users of the company website - Researched sports stadium data to improve pricing models - Conducted online marketing through the use of blogs, message boards, and forums

- Analyzed financial reports for trends in compensation changes resulting in changes in accounting standards - Studied various proxy statements to determine general patterns in the compensation discussion and analysis section - Used quantitative means to determine relationships between various performance indicators for several large corporations