Selected work
A practical index of platform and data work: what problem it solved, my ownership, the system shape, the tradeoffs, and the outcomes that can be shared publicly.
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Designed and implemented data lake and warehouse foundations for mobile tower network events at petabyte scale and roughly five trillion events per day.
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Built a real-time proximity pipeline that joined customer location events with points of interest so users could receive relevant offers when they came within roughly a one-kilometer radius.
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I architected and built a governed conversational data and visualization agent: it retrieves business knowledge, answers business questions, runs governed queries from that context, reasons over results, and builds charts without making the LLM the data boundary.
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Designed and built services that keep Hive metadata consistent across independent environments using real-time listener sync, daily reconciliation, expiry cleanup, one-time interval jobs, observability, and deployment hardening.
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Built browsing-log ingestion and analytics pipelines for safe-browsing classification, audience management, cohort creation, and pattern-based downstream data products.
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Built data-mesh platform capabilities around Kyuubi, custom engine routing, RBAC, secrets management, Trino query access, dbt transformations, DataHub metadata, and Metabase BI.
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Created an in-house YAML-driven CI/CD framework that let teams onboard projects with very little friction while keeping validation, security scans, deployment behavior, and Jira status updates standardized.
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Migrated 50+ Spark and data workloads to Red Hat OCP using Spark Operator, shared CI/CD foundations, containerized runtime patterns, and platform deployment conventions.
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Extended enterprise data access governance around Apache Ranger-based RBAC, an external attribute store, DataHub tag-driven policies, row-level security, masking, Trino integration, audit clarity, and local/containerized development paths.
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Changed Kyuubi engine selection so shared compute could route interactive or batch sessions using user group context.
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Built reusable analytics workflows for cross-shopping, category adjacency, aisle-flow, and store-flow analysis across departments, categories, and products.
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Built an in-house alerting and monitoring framework around Elastic Stack, Kafka, and custom services.
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Built a repeatable Apriori-based workflow for analyzing how products, categories, and departments are shopped together at scale.
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Built analysis workflows for measuring launch uplift, incremental sales contribution, and cannibalization within a retail category.
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Built this portfolio as an Astro app with structured projects, focused resume views, and an on-domain blog sourced from Wix.
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