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Ch Ahsan User

@chahsanuser

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Lead Data Engineer building compliant, scalable healthcare data platforms with cloud-native ETL.

United States

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I’m a Lead Data Engineer with 10+ years of experience in technical leadership, mentoring high-performing teams, and aligning complex data strategies to organizational goals. I architect and optimize large-scale, cloud-native data platforms and analytics solutions across AWS, Azure, Snowflake, and Databricks, with a strong focus on data quality, reliability, and security.

I design robust ETL/ELT pipelines and modern governance/security frameworks for mission-critical healthcare data, including HL7/FHIR and HIPAA/GDPR-aligned practices. From real-time streaming to enterprise lakehouse implementations, I translate clinical and business challenges into scalable technical solutions—while continuously improving engineering practices, workflow automation, and observability.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Evidation Health

Apr 2023 - Present (3 years 2 months)

Provided technical leadership and mentorship to data engineers while delivering healthcare data products for oncology and clinical research. Designed scalable healthcare data pipeline frameworks and ETL automation to improve quality, reliability, and security while ensuring HIPAA-compliant governance and integrating modern AI/LLM workflows.

Data Architecture ETL Apache Spark Kafka HIPAA HL7 FHIR AWS Azure

Senior Data Engineer

Leaflink

Feb 2020 - Mar 2023 (3 years 1 month)

Led architecture and design reviews and drove cross-functional engineering initiatives to maintain high-quality ELT standards. Architected and evolved large-scale ELT/CDC platforms, integrated multi-source healthcare data (including EHR/FHIR), and partnered with data science to operationalize feature pipelines and AI/ML infrastructure with monitoring and retrieval workflows.

ELT CDC Pipelines Data Orchestration Apache Spark Kafka Healthcare Data Integration Model Monitoring Platform Integration Python

Data Engineer

Benchling

Mar 2016 - Jan 2020 (3 years 10 months)

Architected and deployed high-throughput Azure-based data pipelines to ingest complex R&D scientific datasets into a centralized cloud environment. Built transformation frameworks with Python/PySpark, engineered distributed Spark processing for faster enrichment, integrated Azure Synapse with Power BI dashboards, and implemented CI/CD for automating data contract testing and deployments.

Azure Data Factory Databricks Apache Spark Pyspark Azure Synapse Power BI