Delivery Solutions Architect at Databricks
Accelerating customer data & AI initiatives from architecture to go-live. I build production-ready exemplars, migration tooling, and self-service templates so teams can ship data platforms faster.
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Databricks Asset Bundle for migrating MLflow registered models between Unity Catalog catalogs on the same metastore. Preserves versions, artifacts, metrics, params, tags, aliases, and direct UC grants.
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Programmatic migration and management of Databricks AI/BI (Lakeview) dashboards across workspaces, with diff and validation utilities.
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Hands-on Databricks workshop for manufacturing analytics — OEE, quality, downtime, and safety — with AI/BI Genie, dashboards, and row-level security.
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Customer-facing exemplar for high-performance vectorized AES and FF1 format-preserving encryption on Databricks — works on both serverless and classic compute, packaged as a DAB.
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AI-powered logistics incident response application built on Databricks — full-stack TypeScript app demonstrating real-time analytics and LLM-driven workflows.
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Zero-downtime nightly replication pattern on Databricks using atomic schema swap — production-ready blueprint for safe, repeatable cutovers.
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Data Engineering Template -- Production-ready pipelines with Auto Loader, Spark Declarative Pipelines, and medallion architectures, packaged as Databricks Asset Bundles
MLOps & Governance Tooling -- Unity Catalog model migration, lineage tracking, and governance automation
Developer Experience -- Backstage templates and self-service tooling that let teams spin up data platform infrastructure in minutes