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Design and operate an Azure + Databricks lakehouse; build batch and streaming ingestion pipelines with CDC, automated data quality, CI/CD and observability; model curated datasets and semantic layers for Power BI; enforce security/compliance controls and cost optimization; collaborate with product owners and data stewards.

Design, build, and operate Azure/Databricks lakehouse pipelines (batch and streaming) with governance, data quality, observability, and cost controls. Model curated datasets and semantic layers in Power BI, manage PostgreSQL replication/CDC to lakehouse/Synapse, enforce security/compliance, and collaborate with product owners and data stewards to certify enterprise datasets.

Lead application development and technical direction, mentor junior engineers, and integrate AI-assisted engineering (code generation, reviews, research). Design and implement scalable microservices using .NET/C#, TypeScript, SQL and Azure/Terraform. Ensure coding standards, security, quality, and participate in full lifecycle delivery, testing, deployment, support, and cross-functional collaboration.

The consultant manages endpoint services, handles application lifecycle, patch compliance, and employs automation and AI for operational improvements.