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Meet Doshi
Mid-level Data Engineer specializing in cloud data platforms and AI/ML analytics
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About
Backend/data engineer in healthcare who built an AWS-based clinical analytics platform from scratch (DynamoDB/S3/Airflow/dbt) with sub-second clinician query goals, 99.9% uptime, and HIPAA-grade controls (KMS encryption, IAM RBAC, audit trails). Also modernized ML delivery by replacing a manual 4-hour deployment with a 30-minute Docker/GitHub Actions CI/CD pipeline using parallel runs, parity testing, and rollback, and caught critical EHR data edge cases (date formats/timezones) that could have impacted patient care.
Experience
Education
Key Strengths
- Designed clinical analytics infrastructure from scratch across multiple healthcare systems
- Delivered sub-second query latency with 99.9% uptime goals in a HIPAA-regulated environment
- Implemented HIPAA controls: encryption (KMS), IAM RBAC, and comprehensive audit trails
- Built modular, scalable Airflow pipelines enabling new healthcare system onboarding in days instead of months
- Led safe CI/CD refactor cutting ML deployment time from 4 hours to 30 minutes with parallel run, rollback, and output parity testing
- Strong data integrity practices (checksums, validation, schema evolution with dbt, schema drift monitoring)
- Proactively identified and mitigated high-risk data edge cases (date format ambiguity, timezone inconsistencies) to prevent clinical timeline corruption
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