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David Asencio

@davidasencio

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Senior Data Engineer specializing in scalable healthcare data platforms.

United States

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What I'm looking for

I seek a data engineering role at a mission-driven health tech team where I can build scalable, cost-efficient multi-cloud platforms, mentor engineers, and enable advanced analytics with strong emphasis on data quality and regulatory compliance.

I am a Senior Data Engineer with extensive experience building and optimizing multi-cloud data platforms for healthcare organizations, delivering cost-optimized, high-performance ETL pipelines using Python, SQL, and Apache Spark across AWS, Azure, and GCP. I led design and migration efforts that consolidated 200+ batch ETL pipelines into a unified cloud-native data lake, cutting deployment time by 40% and Spark runtimes by 60% while implementing reusable frameworks and CI/CD to improve development velocity.

I combine deep technical expertise (Spark, Databricks, Snowflake, BigQuery, Kafka) with healthcare domain knowledge (claims, EHR, HEDIS, HIPAA) to enable advanced analytics and regulatory reporting. I mentor engineers, lead architecture reviews, and partner with leadership to define long-term data roadmaps that improve operational efficiency and data quality using tools like Great Expectations, Terraform, and Airflow.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

Acentra Health

Jul 2023 - Jan 2026 (2 years 6 months)

Architected a multi-cloud data platform for Medicaid analytics and migrated 200+ batch ETL pipelines to a unified cloud-native lake, cutting pipeline deployment time by 40% and Spark runtimes by 60%.

Python Pyspark Apache Spark AWS Azure GCP Snowflake CI CD Kafka

Data Engineer

Parkland Health

Jan 2020 - Jul 2023 (3 years 6 months)

Designed and maintained end-to-end healthcare data pipelines, migrated on-prem SQL Server workloads to Azure, and optimized batch workloads to reduce processing time by 45%.

Pyspark SQL Snowflake Azure Data Factory Azure Synapse AWS Airflow Terraform Data Quality

Junior Data Engineer

LawnStarter

Jan 2017 - Dec 2019 (2 years 11 months)

Developed and maintained ETL pipelines and Airflow DAGs on AWS, designed Redshift dimensional models, and automated data validation to reduce reporting discrepancies by 30%.

Python SQL Airflow Amazon Redshift AWS S3 EC2 Lambda ETL Data Modeling Tableau

Data Analyst

LawnStarter

Feb 2016 - Dec 2016 (10 months)

Built SQL-based dashboards and Tableau/Looker reports to track revenue and operational KPIs, conducted A/B testing analysis, and automated reporting workflows to cut manual effort by 25%.

SQL Tableau Looker Python Excel A B Testing KPIs Data Cleaning

Education

Degrees, certifications, and relevant coursework

The University of Texas at Austin

Bachelor's degree, Computer Science

2011 - 2015

Completed a Bachelor’s degree in Computer Science with coursework supporting software development and data processing foundational skills relevant to data engineering.