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Build and optimize GCP-based ETL/ELT pipelines, data models, and scalable architectures to support analytics and AI workloads.
Designs and maintains scalable data pipelines, AI-driven analytics, and forecasting systems to support business decision-making, while advising on architecture tradeoffs and emerging technologies.
Designs and deploys scalable ML models, builds data pipelines, and translates business problems into modeling approaches to drive product insights.
Designs and maintains scalable data pipelines and ETL/ELT processes for a digital bank, ensuring data quality and integrity while optimizing performance and leveraging AI tools.
Design and implement AI platforms on Azure AI Foundry, including LLMs, agents, and GenAI solutions with security, governance, and observability.
Builds and optimizes data pipelines and transformations using PySpark, Spark SQL, and Azure Databricks to integrate data from multiple sources, design cloud-based architectures, and support analytics for BI teams.
- Build chunking and embedding pipelines - Build retrieval-augmented generation pipelines - Debug and rebuild production RAG pipeline failures - Define AI knowledge requirements for data integrations - Design and run…
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