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Damik Bermudez
Staff Software Engineer specializing in Healthcare platforms and AI data pipelines
RemoteStaff Software Engineer10 years experienceStaffHealthcareHealthcare ITTechnology
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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).
Experience
Staff Software EngineerDrwell
Senior ConsultantRula
Full Stack Lead EngineerKeeper Memorials
Software EngineerGoogle
Software EngineerUnitedHealth Group
Education
State University of New York at Binghamtonbachelor, Computer Engineering (2014)
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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