Open to opportunities

Ashton M

@ashtonm

Message

I build cloud-native lakehouse platforms and real-time healthcare data pipelines.

United States

Message

What I'm looking for

I'm looking to lead cloud-native data platform and lakehouse initiatives where I can build reliable batch and real-time pipelines, strengthen governance and data quality, mentor engineers, and support analytics and AI/ML outcomes.

At Lark Health, I architect and lead cloud-native lakehouse platforms across AWS and Azure, supporting clinical and business objectives. I built HIPAA-compliant HL7/FHIR and EHR ingestion frameworks that reduced new data-source onboarding time by 40%.

Previously at CareRev, I engineered multi-terabyte batch and streaming pipelines, event-driven architectures with Kafka and Flink, and cloud data platforms on Snowflake and Azure Synapse. I led legacy modernization efforts that improved processing speed, dashboard performance, and platform cost efficiency.

I bring 9+ years of experience building reliable, AI-ready data ecosystems with Spark, Databricks, dbt, Airflow, Delta Lake, and Snowflake. I also mentor engineers, establish governance and quality practices, and partner across teams to deliver scalable data products.

Experience

Work history, roles, and key accomplishments

Current

Lead Data Engineer

Current

Lark Health

Mar 2024 - Present (2 years 6 months)

Architected and led the development of a cloud-native lakehouse platform across AWS and Azure, aligning data strategy with business and clinical objectives. Designed and implemented a scalable Medallion lakehouse architecture, established enterprise-grade ingestion frameworks for HL7/FHIR and EHR datasets, and led implementation of data governance, lineage, and quality frameworks.

AWS Azure Databricks Synapse ADLS Medallion Architecture ETL ELT Batch Processing Streaming HL7 FHIR Monte Carlo Collibra DBT Snowflake Airflow DataOps CI CD Observability Infrastructure Automation Stakeholder Management

Senior Data Engineer

CareRev

Aug 2020 - Feb 2024 (3 years 6 months)

Engineered high-throughput batch and streaming data pipelines supporting multi-terabyte healthcare datasets. Designed event-driven architectures using Apache Kafka and Apache Flink, built scalable cloud-native platforms on Snowflake and Azure Synapse, and led modernization of legacy data ecosystems.

Kafka Apache Flink Snowflake Azure Synapse Data Modeling Data Vault Data Quality Data Validation Cloud Modernization

ETL & Data Warehouse Engineer

Trellissoft

Nov 2017 - Jul 2020 (2 years 8 months)

Developed and maintained scalable ETL pipelines using SSIS, Informatica, and Talend, integrating data from relational databases, APIs, and flat files into enterprise data warehouses. Designed dimensional data models and optimized data warehouse performance through indexing, partitioning, and query optimization.