Develop and maintain Tempus’s data platform, processing ~70M daily requests and supporting machine learning scientists and bioinformaticians with secure, cataloged data access. This includes:

• REST APIs (Node.js, TypeScript) backed by Google Spanner and Google Cloud Services.

• Developer tools such as Python & TypeScript SDKs, a Python CLI, and a React-based data console for data creation and cataloging.

• Data pipelines to ingest and transform files into BigQuery for analytics applications.

Personally designed and implemented:

• Tempus’s solution for organizing identified and de-identified data.

• Search optimizations for the platform’s data catalog.

• Automations to relieve pressure on our support engineers.

Provide ongoing support and monitoring, troubleshoot user issues, and ensure the reliability of our microservices.

I develop and maintain:

• REST APIs using NestJs (Node framework) on top of a Spanner database,

• Typescript and Python SDKs to interface with our APIs,

• A console built to create and catalog Tempus Data (React),

• Data pipelines to ingest files into BigQuery for analytical applications (Python).

I also am routinely on support to assist users, troubleshoot, and monitor the above services.

Extract and transform client data, integrate tags into clients’ websites, and develop internal tools to track client tags firing.

Manage technical relationships between internal teams, clients, agencies, and vendors that bring in over $1 million of revenue.

Troubleshoot data discrepancies, product feed loads, website tags, pixel tracking, and campaign errors.

I reported to the VP of product to develop content for Nulia’s enterprise SaaS platform that trains users on Office 365.

I planned and created business processes such as onboarding documentation and internal progress trackers.