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Evan Teague
Senior Software Engineer specializing in backend and data platforms
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Series A startup engineer with broad full-stack ownership across backend, data, and frontend, including a real-time ingestion platform that scaled to 10x higher daily volume without downtime while cutting latency from minutes to seconds. Brings strong fintech and B2B SaaS experience building auditable, high-throughput systems for analysts, operations, and compliance teams in regulated environments.
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Key Strengths
- Startup engineering in Series A environment with 20-engineer team
- Built real-time data ingestion pipeline handling 10x data growth without downtime
- Reduced processing latency from minutes to seconds
- Strong full-stack range across Go, Python, and TypeScript/React
- High-throughput backend systems processing hundreds of thousands of messages per minute
- Scalable distributed systems design with reliability and idempotency focus
- Cross-functional execution across backend, data pipelines, and frontend
- Pragmatic product delivery under ambiguity using small iterative increments
- Strong API and integration design across microservices, batch pipelines, and real-time dashboards
- Fintech B2B SaaS experience supporting analysts, operations, and compliance workflows
- Built auditable, validated data pipelines for regulated environments
- Observability-first engineering with monitoring, alerting, and staging/integration test practices
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“Software engineer at Fannie Mae (~3 years) working on high-volume loan data pipelines using AWS (SQS/S3), Java listeners, Postgres, and Python/SQL-based data quality validation. Also built a chess data collection system (leveraging experience as an International Master) with robust retry/monitoring, schema-change handling, and idempotent backfills to prevent bad data from reaching downstream systems.”
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