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Max Zhu
Staff Software Engineer specializing in Cloud Healthcare Data Platforms
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Backend/data engineer with deep healthcare data experience (FHIR, de-identification) across both GCP and AWS. Has built and operated production microservices and ETL pipelines (FastAPI, Dataflow, Glue) with strong reliability practices, and led modernization of a legacy SAS compliance reporting system to cloud services with validated parity and stakeholder-facing Looker comparisons.
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Key Strengths
- Built/maintained de-identification microservice for sensitive FHIR data with IAM-scoped access control
- Reliability engineering: exponential backoff with jitter (tenacity), circuit breakers, structured error handling with trace IDs
- Data pipeline engineering on AWS Glue (crawlers, PySpark jobs, Data Catalog) with schema evolution handling and data quality checks
- Modernized legacy SAS reporting into cloud microservices (Go/Dataflow/BigQuery) with parity validation and stakeholder sign-off via Looker dashboard
- SQL performance optimization in BigQuery (partitioning, pre-aggregation, temp tables) reducing runtime ~25 min to ~6–7 min
- Production incident response on batch pipelines: detected via monitoring/logs, paused downstream consumers, reprocessed into temporary tables, added schema validation and alerts
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