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Marcos Lopez
Senior Full-Stack Engineer specializing in cloud-native web apps and data pipelines
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About
Backend/data engineer with healthcare/telehealth domain experience, building patient appointment and data-processing systems on AWS. Has delivered production microservices and ETL pipelines (Flask/Celery, Glue/PySpark) with strong reliability/observability practices (JWT, retries/timeouts, Sentry/CloudWatch) and modernization experience migrating SAS workflows to Python services, including a documented 10min→30sec SQL performance win.
Experience
Education
Key Strengths
- Built and maintained production telehealth/patient appointment backend APIs (Flask + Celery)
- Designed reliability patterns: JWT auth, HTTPS, retries with exponential backoff (tenacity), timeouts, Celery retries/time limits
- Production observability: Sentry alerting, structured logging with Loguru, CloudWatch monitoring/dashboards
- Delivered AWS serverless + container architecture (Lambda/API Gateway + ECS) with Terraform IaC and CI/CD (GitLab CI, CodePipeline)
- Implemented AWS Glue ETL to S3 data lake (PySpark, Parquet) with schema discovery (crawlers) and data quality checks
- Modernized legacy SAS processing into Python microservices using shadow testing, phased migration, parallel runs, and rollback plans
- Improved SQL report runtime from ~10 minutes to ~30 seconds via indexing, partitioning, query rewrite, and batching
- Owned and mitigated batch pipeline incident (resource exhaustion) using monitoring/alerts and operational mitigations (batch size reduction)
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