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Damik Bermudez
Staff Software Engineer specializing in Healthcare platforms and AI data pipelines
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About
Backend/data engineer with hands-on production AWS experience spanning serverless APIs (Chalice/Lambda/API Gateway/Cognito) and data pipelines (Glue PySpark + Step Functions). Has modernized a legacy SAS reporting system into AWS microservices and implemented schema-drift detection and incident prevention for ETL workflows, plus measurable SQL tuning wins (30 min to <10 min runtime).
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Key Strengths
- Designed and maintained serverless Python APIs on AWS (Chalice/Lambda/API Gateway) with Cognito auth
- Reliability engineering for serverless workloads (SQS buffering, retries/backoff, DLQs, idempotency, CloudWatch alarms)
- Delivered hybrid serverless + container architecture (Lambda + ECS Fargate) with autoscaling and cost controls
- Implemented IaC and CI/CD using AWS CDK and GitHub Actions
- Built AWS Glue ETL pipelines (PySpark) orchestrated with Step Functions; used Glue Catalog as schema registry
- Handled schema evolution via schema drift detection, schema versioning, and DynamicFrames with SNS alerting
- Modernized legacy SAS reporting into AWS serverless data platform; validated parity via parallel runs and automated comparisons
- Improved SQL performance by refactoring queries and adding indexes/partitioning (30 min to <10 min; ~40% CPU reduction)
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