Best Dev

Data Engineer with 8+ years of experience designing scalable data platforms, ETL pipelines, and analytics systems across healthcare, networking, and enterprise domains. Strong expertise in Python, SQL, distributed data processing, and cloud ecosystems including AWS and GCP. Proven ability to transform raw data into actionable insights, enabling product optimization, customer intelligence, and operational efficiency.

Experienced in building data infrastructure from scratch and integrating ML-driven workflows.

Senior Data Engineer at Brook Health (2023-05 – 2026-01)

Architected and managed end-to-end data pipelines and analytics systems for healthcare platform

• Architected end-to-end data pipelines ingesting real-time patient data from IoT devices and mobile applications using Kafka and Spark Streaming
• Designed scalable data lake and warehouse solutions on AWS S3 and Redshift, enabling analytics across millions of health records
• Implemented ETL workflows with Airflow and Python to transform clinical and behavioral datasets into structured formats for ML models
• Built data models and dashboards supporting patient engagement metrics, improving care program insights for internal teams
• Integrated LLM-driven analytics pipelines to extract insights from unstructured medical notes and patient interactions
• Established data validation and monitoring systems to ensure high reliability, consistency, and HIPAA-compliant data governance

Data Engineer at F5 Networks (2014-04 – 2023-04)

Built scalable backend services and event-driven systems for large-scale traffic management and security platforms

• Built scalable backend services using C# and .NET Core supporting large-scale traffic management and security platforms
• Designed event-driven systems with Kafka and gRPC enabling low-latency communication across distributed services
• Extended platform capabilities with Node.js and TypeScript services for edge processing and API aggregation
• Applied domain-driven design and modular architecture improving maintainability and system evolution
• Implemented observability pipelines using OpenTelemetry, Prometheus, and Grafana enhancing system monitoring
• Optimized Elasticsearch and SQL workloads for high-volume data queries across distributed environments

Software Engineer at Harris Corporation (2012-03 – 2014-02)

Developed backend services and data pipelines for secure communication and data processing systems

• Developed backend services in C# and .NET supporting secure communication and data processing systems
• Designed RESTful APIs and integrated message queues for asynchronous workflows
• Built data pipelines using Python for transformation and batch processing of structured datasets
• Improved system reliability through modular service refactoring and performance tuning
• Worked with SQL Server and distributed storage systems for large-scale data handling

Bachelor's degree in Computer Science – East China Normal University (2007-09 – 2011-06)