Translate complex system data into business-friendly entities and semantic models, preparing AI-ready datasets and presentation-ready data products within GCP.
Build and maintain data orchestration, serving, and API integration layers using Python, REST APIs, and cloud services.
Develop and maintain batch and streaming data pipelines using Google Cloud Dataflow and Google Pub/Sub for real-time messaging and data processing.
Implement CI/CD pipelines using GitHub Actions, automate infrastructure provisioning with Terraform, and maintain Git branching strategies across development, staging, and production environments.
Discover, prepare, validate, and integrate structured and unstructured datasets for MVP development and production use within enterprise data platforms.
Integrate Vertex AI and support Generative AI, Agentic AI, RAG, AI grounding, tool calling, and long-term memory requirements through appropriate data structures and integrations.
Maintain data dictionaries, metadata documentation, governance practices, data quality, and observability to support reliable data access and AI grounding.
Participate in discovery sessions and prototyping, collaborating with cross-functional teams to map customer journeys, define data requirements, and develop suitable technical solutions.
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