- Design, build, and deploy scalable pipelines that ingest data from APIs, Webhooks, and Cloud Storage.
- Implement domain modeling and transformation logic to unify data sources into data products.
- Transition legacy processes into modern, scalable, and stable data architectures.
- Support and troubleshoot live integrations, diagnosing hotel and internal issues and communicating with stakeholders during incidents.
- Improve pipeline reliability and quality through observability, automated testing, and automation.
- Collaborate with product, engineering, support, and business teams, as well as customers and partners.
- Investigate complex technical issues through analysis of code and systems to identify root causes.
- Use AI and automation to increase engineering velocity, streamline debugging, and handle recurring tasks.
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