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Travis Johnson
Senior Full-Stack Software Engineer specializing in FinTech payments and fraud systems
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About
Backend/data engineer with production experience building credit/fraud enrichment services and checkout pipelines on AWS (EKS + Lambda) using FastAPI, Kafka, Postgres, and Redis, with a strong focus on reliability patterns (timeouts/retries/circuit breakers) and observability. Has also built AWS Glue/PySpark ETL into S3/Redshift with schema evolution and data quality controls, and modernized legacy credit decisioning into Java/Node microservices with parallel-run parity validation and feature-flag rollouts.
Experience
Education
Key Strengths
- Designed and operated reliable FastAPI services with timeouts, idempotent retries/backoff, circuit breakers, and graceful degradation
- Strong production observability practices (structured logging, correlation IDs) for rapid incident triage
- Delivered AWS deployments with Terraform + GitHub Actions + ArgoCD, including secrets/config management and autoscaling
- Built and operated AWS Glue ETL from Kafka/S3 to S3/Redshift with schema evolution, data quality validation, and partition-level reprocessing
- Modernized legacy batch credit decisioning into Java/Node microservices with parallel run parity validation and feature-flagged rollout
- SQL performance tuning with measured impact (reduced a reporting query from ~12s to ~4s via indexing/join rewrite/caching)
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