Senior Data Engineer - Healthcare ELT & Streaming

Albert Cheng

346-***-**** Rosharon, TX *****.******.***@*****.***

Senior Data Engineer

SUMMARY

Senior Data Engineer with 12+ years of experience building and scaling large-scale data infrastructure at Snowflake and CVS Health. Specialized in architecting high-performance ELT pipelines, real-time streaming platforms, unified Patient 360 solutions, and AI/ML feature engineering frameworks on Snowflake, with deep expertise in healthcare data processing, compliance, and operational excellence. WORK EXPERIENCE

CVS Health Jan 2020 - Present

Senior Data Engineer

Built and scaled unified, multi-terabyte healthcare data pipelines and Patient 360 platform on Snowflake, bridging claims, pharmacy, EHR, and lab signals for real-time analytics and multimillion-dollar value-based care initiatives.

● Architected a unified Patient 360 platform on Snowflake, integrating multi-terabyte streams across claims, pharmacy, and EHR data to drive real-time analytics for multimillion-dollar value-based care initiatives.

● Engineered a high-efficiency ELT framework using Snowflake Streams & Tasks, replacing legacy ETL systems to reduce pipeline latency and monthly compute costs by 40%.

● Led the end-to-end migration of 10M+ patient records, implementing Row-Level Security (RLS) and Dynamic Data Masking to ensure 100% HIPAA compliance and data privacy.

● Streamlined clinical reporting by building a robust data layer with dbt and Snowflake Dynamic Tables, consolidating disparate datasets into a single source of truth for executive stakeholders.

● Developed an automated Data Quality (DQ) framework utilizing Snowpark UDFs and Great Expectations, reducing manual reconciliation and establishing enterprise-wide data governance standards.

● Implemented real-time streaming pipelines via Snowpipe and Kafka for pharmacy event data, enabling near real-time claims dashboards and reducing time-to-insight for clinical teams.

● Scaled engineering excellence by mentoring junior engineers and standardizing CI/CD workflows via GitHub Actions and Terraform, accelerating team onboarding and code deployment velocity. Snowflake Dec 2014 – Oct 2019

Data Engineer

Built and scaled high-performance data pipelines and feature engineering frameworks for Snowflake’s early AI/ML platform, laying critical groundwork for Cortex AI while reducing ML data preparation time.

● Developed foundational data pipelines and feature engineering frameworks for early-stage AI/ML platforms, directly influencing the architectural precursor to Cortex AI.

● Optimized ML data preparation workflows, reducing model training lead times by 25% through the design of high-performance orchestration pipelines.

● Engineered internal telemetry ingestion frameworks leveraging Snowflake clustering and auto-ingest, significantly improving the reliability and scale of system-health analytics.

● Achieved sub-second query latency for product dashboards by optimizing large-scale SQL transformations and performance tuning internal analytics workloads.

● Established governed sandbox environments for sensitive R&D datasets, ensuring strict compliance with internal security protocols during experimental AI phases.

EDUCATION

The University of Texas at Austin

Bachelor of Science – Mathematics, 2013

PROFESSIONAL SKILLS

● Languages: Python, SQL (advanced), Java, Scala, Go, Kotlin, Swift, JavaScript/TypeScript, Shell/Bash Scripting, HiveQL

● Cloud Platforms: AWS (S3, EMR, MSK, EKS), GCP (Cloud Storage, BigQuery, Dataflow, Pub/Sub, Cloud Composer), Azure (ADLS Gen2, Databricks)

● Lakehouse & Warehouses: Snowflake (Snowpark, Streams, Tasks, Snowpipe, Dynamic Tables), Databricks (Unity Catalog, Feature Store), Apache Spark (PySpark, Spark SQL, DataFrame API, Structured Streaming), dbt

● Streaming & Real-time: Apache Kafka, Snowflake Streams & Tasks, Snowpipe, Spark Streaming

● Infrastructure & DevOps: Kubernetes, Docker, Terraform, Argo CD, GitHub Actions, Jenkins, Spinnaker, Istio, Mesos, CI/CD

● Backend & API: FastAPI, Django, Flask, Spring Boot, Jetty, REST, GraphQL, gRPC, Protobuf, OpenAPI, Microservices

● Observability: Datadog, Prometheus, Grafana, OpenTelemetry, Jaeger, Zipkin, Honeycomb, ELK Stack, Distributed Tracing

● ML & Feature Engineering: Databricks Feature Store, Feast, Chronon, MLflow, Great Expectations, Pandas, Jupyter

● Governance & Security: Unity Catalog, Apache Ranger, IAM Policies, OAuth, JWT, PII Masking, Data Lineage, GDPR, CCPA

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