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John Wilbert

@johnwilbert

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Senior Data Engineer specializing in scalable cloud-native data platforms.

United States

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What I'm looking for

I seek a senior data engineering role building secure, scalable cloud data platforms, prioritizing data quality, ML readiness, and cross-functional collaboration in a results-driven team.

I am a results-driven Senior Data Engineer with 10+ years designing scalable, cloud-native data solutions across healthcare, fintech, energy, and retail. I build real-time and batch pipelines, lakehouse systems, and machine-learning-ready data at scale using Databricks, Snowflake, Apache Spark, Airflow, dbt, and AWS/Azure.

At SmarterDx I designed an AWS-native clinical data pipeline across 200+ hospitals, reducing processing latency by 40% and contributing to a 5:1 ROI; I built a centralized ML feature store and automated infrastructure provisioning with Terraform and AWS CDK. Previously, at C2FO I refactored batch ETL into real-time flows with Kafka and Spark on Databricks, enabling over $4B in funding activity and cutting data latency by 60%.

I bring a strong focus on data quality, governance, and secure architectures (HIPAA-compliant implementations), and I partner with product and analytics teams to define data contracts and accelerate deployment velocity. I am passionate about clean architecture, high-performance pipelines, and enabling analytics teams with trusted data.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

SmarterDx

Jun 2025 - Present (1 year)

Designed and implemented an AWS-native clinical data pipeline across 200+ hospitals, reducing processing latency by 40% and delivering a 5:1 ROI for enterprise health systems; built a centralized ML feature store that increased deployment velocity by 35%.

Glue Lambda Apache Spark Databricks Terraform HL7 FHIR Cloudwatch

Senior Data Engineer

C2FO

Mar 2021 - Jun 2025 (4 years 3 months)

Refactored batch ETL into real-time dataflows using Kafka, Spark on Databricks and Delta Lake, reducing data latency by 60% and doubling supplier decisioning speed; supported $4B in global funding activity.

Kafka Databricks Delta Lake AWS Glue Spark Snowflake Airflow Azure Data Factory XGBoost

Data Engineer

Enel Green Power

Mar 2020 - Mar 2021 (1 year)

Built scalable ETL pipelines to ingest and standardize time-series SCADA and telemetry data across 70+ plants, increasing forecast accuracy by 25% and enabling real-time operational dashboards.

AWS Glue Redshift Athena Tableau Pandas Great Expectations Terraform

Data Engineer

Evolytics

Jun 2018 - Mar 2020 (1 year 9 months)

Developed scalable Azure-based pipelines to ingest and process retail and marketing data across 10+ markets, reducing report turnaround time by 40% and improving attribution accuracy via session-stitching logic.

Azure Data Factory Azure Blob Storage Synapse Azure SQL DW DBT Python Azure DevOps

Senior Software Engineer, Data

Cerner Corporation

Oct 2013 - Jun 2018 (4 years 8 months)

Built enterprise-scale ingestion pipelines unifying clinical, operational, and financial data from 50+ hospital systems into a population health analytics platform, reducing processing time by 35% and improving data traceability.

Java Apache Spark Informatica HL7 Hadoop Snowflake AWS S3 Databricks