Lead technical discussions with government regulators, negotiating integration requirements to enable Lyft’s expansion to a number of Canadian markets and develop compliant data integration workflows.

Data Lineage - Data Discovery Team

Led cross-functional collaboration to identify, model, collect, clean, and aggregate lineage data, covering 90% of queries on HMS tables, enabling engineers to trace upstream data issues and assess the impact of changes across Lyft’s data ecosystem. This has been used in major SEV resolution, downstream data change impact analysis, and cost saving projects across the company.

Key contributor and maintainer of Amundsen, Lyft's open-source metadata engine for data discovery, adopted by 30+ companies; led community technical discussions and defined the product roadmap, driving innovation and adoption.

Amundsen - Data Discovery Team

Cloud + AI: AI Platform Team - Data to AI Team

Created a CLI tool with C# to migrate all first-party jobs running on an internal self-service portal used for management of data applications. Utilized SQL queries to retrieve data from 4,300 active jobs running on an internal solution. Collected requirements and implemented a system capable of organizing existing job data into a pipeline JSON object for upload to Azure Data Factory (ADF).