Terrance IvyBrown

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.

Experience

Education

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