Open to opportunities

Jonathan Zimmerman

@jonathanzimmerman

Senior Data Engineer who builds scalable ETL pipelines, data platforms, and governed analytics for healthcare and B2B outcomes.

United States

Message

What I'm looking for

I’m looking to own end-to-end ETL and data platform reliability—building governed, observable pipelines with strong testing and maintainable infrastructure that enables data products and analytics at scale.

I’m a Senior Data Engineer with 9 years building production ETL pipelines, data platforms, and analytics for healthcare and B2B. I collaborate with data science and product teams to deliver entity resolution, data products, and automation while enforcing governance across teams.

I focus on performance, reliability, observability, and maintainable data infrastructure that drives business outcomes at scale—modernizing pipelines on AWS with PySpark/EMR, orchestrating with Airflow, and improving quality, monitoring, and incident response. From Spark unit and stress testing (e.g., datasets exceeding 100M records) to lineage tracking, I build trusted data foundations with clear documentation, runbooks, and deployment standards.

Experience

Work history, roles, and key accomplishments

Senior Data Engineer

ReefPoint Group

Aug 2025 - Jun 2026 (10 months)

Built and modernized AWS-based ETL pipelines using PySpark and EMR to ingest multi-source data into S3 while improving reliability, latency, and throughput. Implemented Airflow orchestration, data quality/governance checks, and monitoring/alerting with CloudWatch for production incident response.

Pyspark Apache Spark Amazon S3 Apache Airflow Amazon DynamoDB Data Quality Data Governance Lineage Tracking Cloudwatch Monitoring And Alerting Unit Testing Pytest Performance Tuning Partitioning Memory Tuning CI CD Technical Documentation Runbooks Run Books

Senior Data Engineer

Amwell

May 2023 - Jun 2025 (2 years 1 month)

Led nightly clinical ETL workflows in PySpark to process datasets into S3 and Redshift for downstream analytics and reporting. Developed Airflow scheduling with monitoring/SLAs and backfills, and delivered data validation/anomaly detection with automated alerting.

Pyspark Apache Spark Amazon S3 Amazon Redshift Apache Airflow SQL Schema Design BI Reporting Data Validation Anomaly Detection Monitoring And Alerting Spark Tuning Cost Optimization CI CD Runbooks Run Books

Data Engineer

ArdentMC

Jan 2021 - Mar 2023 (2 years 2 months)

Developed ETL pipelines in Python and SQL to build membership data warehouse tables for finance and operations reporting. Implemented schema/dimensional models, automated validation and reconciliation jobs, and query optimizations to improve discoverability and performance.

Python SQL ETL Data Modeling Dimensional Models Data Validation Data Reconciliation Indexing Query Optimization Data Governance Report Automation

Data Analyst

ERPI

Aug 2018 - Nov 2020 (2 years 3 months)

Performed data cleaning, transformation, and exploratory analysis using SQL and Python to generate weekly operational reports. Built ETL scripts to ingest CSV/API data, created dashboards for key metrics, and implemented data quality validation with automated alerts.