Alejandro Alemany

About

Senior backend/data engineer who has built and maintained HIPAA-compliant, real-time clinical FastAPI services on AWS, orchestrating ML/LLM and vector DB calls with strong reliability patterns (auth, timeouts/retries, graceful degradation, idempotency). Also delivered AWS IaC/CI-CD (Terraform/Helm/GitHub Actions) across EKS/Lambda/SageMaker and built Glue/Spark ETL with schema evolution and data quality controls, plus demonstrated large SQL performance wins (15 min to <9 sec) and hands-on incident ownership.

Experience

Education

Key Strengths

• Built/maintained HIPAA-grade real-time clinical backend with strict uptime/latency requirements
• Designed reliable FastAPI services with OAuth2/JWT auth, KMS-managed secrets, and consistent middleware-based error handling
• Resilience patterns: explicit timeouts, exponential-backoff retries, graceful degradation, caching, and idempotent/transactional writes
• Event/data pipeline reliability using Kafka acknowledgements/retries and incremental/idempotent ETL design
• AWS delivery with Terraform+Helm IaC and GitHub Actions CI/CD deploying to EKS/Lambda/ECR
• Cost/performance optimization via autoscaling (HPA), reserved concurrency, workload separation, spot capacity, and spend alerting
• AWS Glue analytics pipeline with schema evolution controls and data quality validation
• Legacy modernization with parity validation (parallel runs), stakeholder sign-off dashboards, feature flags, and rollback
• SQL performance tuning with measured impact (15 minutes to <9 seconds) via indexing, partitioning, and query rewrites
• Production incident ownership: detected via CloudWatch alerts, triaged logs/metrics, mitigated with rerouting/reprocessing, prevented recurrence with schema validation