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Terrance IvyBrown
Senior Full-Stack Software Engineer specializing in cloud-native SaaS and modern JavaScript stacks
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About
Backend/data engineer with hands-on production experience building Python/Django APIs on PostgreSQL and delivering AWS serverless + containerized architectures (API Gateway/Lambda, IaC, CI/CD, secrets/config). Has operated AWS Glue pipelines ingesting S3 log/3rd-party data with schema evolution monitoring, modernized legacy batch logic into API-based services via parallel-run parity testing, and improved Postgres query performance by several seconds; prefers fully remote work and targets $120–130k base.
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Key Strengths
- Designs modular backend APIs with separation of concerns (thin views, service layers, data access separation)
- Production reliability practices: token auth, request validation, standardized error handling, safe client errors with detailed internal logging
- Pragmatic resilience patterns: explicit outbound timeouts and limited retries only for transient failures
- Delivers AWS serverless/container solutions with IaC + CI/CD automation and secrets/config management
- Cost-aware AWS operations: tunes memory/timeouts/concurrency using usage metrics to avoid over-provisioning
- Builds and operates AWS Glue ingestion pipelines (S3 sources, crawlers/catalog) with schema evolution monitoring and rerun procedures
- Legacy modernization with parallel runs for parity validation and incremental migration to reduce cutover risk
- SQL performance optimization using execution plans, composite indexing, query rewrites, and batching (reduced reporting latency by several seconds)
- Owns production incidents in batch/data pipelines: detects via alerts/metrics, triages via logs, mitigates downstream impact, and adds preventative validation/alerting
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