Hailey Cahill

Developed and maintained 20 APIs and surrounding services written in Go and deployed in Docker containers via Kubernetes.

• Designed API data models in both REST and protobuf surfaced in REST/gRPC protocols.
• Wrote high throughput event message consumers and producers in both Kafka and PubSub.
• Wrote comprehensive testing coverage (unit, integration, smoke).
• Delivered user-focused API Documentation through copywriting leveraging mkdocs and protobuf.
• Supported deployed services through customer tickets and Teams public channel interactions.
• Teamwork through participation in code review, shared repo coordination, pair programming, stand-up, refinement, demos.
• Kanban methodology – (my experience working in a structured priority / delivery of code type system)

Developed Python client to surface APIs to our Data Science community allowing less code-focused teams to leverage our datasets in a single package.

• Led and coordinated effort for data engineering teams to contribute code and documentation for their services.
• Acted as repo maintainer for contributed PRs.
• Heavy customer interaction with Data Science community designing user experience and working through requirements and requests.

Joined a data engineering team to perform data analysis on crop epidemiological data.

• Actively participated in team meetings to share knowledge, exchange ideas, address challenges, and collaborate on potential solutions.
• Coordinated with external academic resources to source dataset.
• Worked with academic Agriculture Extension departments

Provided company wide support of Microsoft SharePoint.

• Conducted root cause analysis on recurring issues, implementing long-term solutions to prevent future occurrences.
• Provided exceptional customer service through empathetic listening, problem-solving abilities, and effective communication techniques.
• Managed incident tickets effectively, prioritizing urgent issues and ensuring prompt resolution times.