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Allan Farinas
Senior Full-Stack Software Engineer specializing in Python and AWS
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Backend/data engineer who has built production Python microservices (FastAPI) and AWS-native platforms for event ingestion and analytics, combining ECS/Fargate + Lambda with CloudFormation-driven environments and strong secrets/IAM practices. Experienced modernizing legacy logic with parallel-run parity validation and safe phased cutovers, and has demonstrated measurable SQL tuning wins (20–30s down to 1–2s) plus incident ownership in Glue/Step Functions ETL pipelines.
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Key Strengths
- Designed and operated production Python microservices on AWS for event ingestion/analytics workflows
- Reliability engineering: JWT auth, explicit timeouts, idempotency keys, centralized error handling, consistent 4xx/5xx boundaries
- AWS container + serverless delivery (ECS/Fargate + Lambda) with CI/CD, CloudFormation IaC, and secrets/config best practices (SSM/Secrets Manager, least-privilege IAM)
- Built AWS Glue ETL pipelines (S3->curated tables->Athena) with schema evolution strategy, data quality checks, and quarantine handling
- Modernized legacy logic via versioned APIs/batch jobs with parallel-run parity testing, stakeholder acceptance criteria, and phased rollout with feature flags/canary + rollback
- SQL performance optimization with measured impact (reduced reporting query runtime from ~20–30s to ~1–2s via indexing and query rewrite)
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