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David Sigal
Executive-level Software Engineering Leader specializing in Healthcare AI
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Backend engineer who has built end-to-end data and platform systems across domains: a Scala/Java media data warehouse with a custom query language and Elasticsearch search, plus production security patterns (RBAC, RLS, audit trails) including a telehealth platform. Also demonstrated strong operational rigor by using feature-flagged side-by-side migrations and by catching ecommerce checkout edge cases that were dropping revenue.
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Key Strengths
- Designed and built a media data warehouse with ingestion, storage, query compiler, and search index
- Cost-focused architecture decisions (AWS selection; open-source Elasticsearch vs commercial)
- Storage tiering strategy based on data age to balance latency/availability vs cost
- Security-first API approach (schemas, best-practice auth, encryption, audit trails/logging)
- Risk-managed migrations using side-by-side deployments, feature flags, and data integrity verification
- Implemented RBAC for a telehealth platform with auditability and domain-aware permissions
- Identified ecommerce checkout failure modes causing revenue loss and added upstream data validation (e.g., shipping data)
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