Senior Data Engineer with 10+ years of experience building secure, scalable, and compliant data platforms for healthcare organizations. Expertise in modernizing legacy claims and clinical data systems using AWS (S3, Glue, EMR, Lambda), Databricks, Snowflake, and Spark, with deep proficiency in X12, HL7, and FHIR standards. Proven ability to design end-to-end pipelines—from real-time streaming (Kafka, Spark Structured Streaming) to governed analytics (dbt, Kimball modeling)—that improve data quality by up to 95%, ensure HIPAA/PHI compliance, and accelerate regulatory reporting. Adept at infrastructure-as-code (Terraform), observability (CloudWatch, custom health checks), and cross-functional collaboration across engineering, clinical, and compliance teams to drive data reliability and business outcomes.

David A Sencio

Senior Data Engineer with 10+ years of experience building secure, scalable, and compliant data platforms for healthcare organizations. Expertise in modernizing legacy claims and clinical data systems using AWS (S3, Glue, EMR, Lambda), Databricks, Snowflake, and Spark, with deep proficiency in X12, HL7, and FHIR standards. Proven ability to design end-to-end pipelines—from real-time streaming (Kafka, Spark Structured Streaming) to governed analytics (dbt, Kimball modeling)—that improve data quality by up to 95%, ensure HIPAA/PHI compliance, and accelerate regulatory reporting. Adept at infrastructure-as-code (Terraform), observability (CloudWatch, custom health checks), and cross-functional collaboration across engineering, clinical, and compliance teams to drive data reliability and business outcomes.

Available to hire

Senior Data Engineer with 10+ years of experience building secure, scalable, and compliant data platforms for healthcare organizations. Expertise in modernizing legacy claims and clinical data systems using AWS (S3, Glue, EMR, Lambda), Databricks, Snowflake, and Spark, with deep proficiency in X12, HL7, and FHIR standards. Proven ability to design end-to-end pipelines—from real-time streaming (Kafka, Spark Structured Streaming) to governed
analytics (dbt, Kimball modeling)—that improve data quality by up to 95%, ensure HIPAA/PHI compliance, and accelerate regulatory reporting. Adept at infrastructure-as-code (Terraform), observability (CloudWatch, custom health checks), and cross-functional collaboration across engineering, clinical, and compliance teams to drive data reliability and business outcomes.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Language

English
Fluent

Work Experience

Senior Data Engineer
July 1, 2023 - Present
Architected scalable ETL pipelines on AWS (S3, Glue, EMR) using PySpark; migrated legacy on-prem workloads to cloud; boosted pipeline throughput from 97.5% to 99.9%; built Kafka and Spark Structured Streaming pipelines for near real-time data validation and processing; integrated with Delta Lake and Snowflake for robust data governance; deployed end-to-end data validation and monitoring to improve data quality and governance.
Data Engineer / Backend Engineer at Parkland Health
January 1, 2020 - July 1, 2023
Designed and deployed FHIR-compliant data APIs to serve standardized patient records to downstream apps, improving interoperability with partner EHRs; implemented end-to-end data pipelines with HIPAA-aligned governance; collaborated with clinical and finance teams to support risk analytics.
Data Engineer at LawnStarter
February 1, 2016 - December 1, 2019
Implemented data validation framework in Pandas, reducing customer-reported data issues by 50%; designed core data models and data pipelines enabling scalable analytics; improved data quality, lineage and governance; supported batch and streaming analytics.

Education

Bachelor's degree in Computer Science at The University of Texas at Austin
January 1, 2011 - December 18, 2015

Qualifications

HIPAA Compliance
January 11, 2030 - January 29, 2026

Industry Experience

Healthcare, Software & Internet, Professional Services, Education, Life Sciences