I’m looking for a senior data engineering role where I can stay hands-on, own projects end to end, and help shape technical decisions. I enjoy solving complex data problems, building reliable platforms, and working with collaborative teams using modern cloud and data technologies.

David Zimmerman
@davidzimmerman1
I build governed, reliable data platforms for healthcare, financial services, and AI-enabled workflows.
What I'm looking for
At Thoughtworks, I lead enterprise data-platform delivery from discovery and architecture through migration, production readiness, and team handoff. I’ve modernized healthcare, financial-services, and digital-product data estates while restoring at-risk migrations and improving operational trust.
I build reusable Azure and Microsoft Fabric foundations with reconciliation, observability, governed semantic models, data contracts, and controlled releases. My work has kept more than 100 operational reports stable, enabled near-real-time service data products, and reduced cloud spending by roughly one-third.
Previously, I modernized HIPAA-controlled healthcare data at Elevance Health, engineered connectors and replication services at Fivetran, and built banking workflows and large-scale data processing at Capital One. I focus on traceable, supportable data products that teams can confidently own after launch.
Experience
Work history, roles, and key accomplishments
Leads data-platform delivery for enterprise clients, moving from discovery and architecture through migration, production readiness, and team handoff across healthcare, financial services, and digital-product engagements.
Modernized regulated healthcare data products for claims, eligibility, provider, pharmacy, quality, and care-management teams in a HIPAA-controlled Azure environment.
Engineered connectors and replication services for a managed data-integration product, developing depth in source behavior, change capture, destination correctness, schema evolution, and multi-tenant production operations.
Moved from application services into large-scale data processing, building secure banking workflows and the batch, event, and early cloud foundations used by risk and operations teams.
Built an enterprise engineering foundation during a six-month consulting assignment, contributing to application integration, ETL delivery, reconciliation, testing, and production support under senior-team guidance.
Education
Degrees, certifications, and relevant coursework
New York University
Bachelor's Degree, Computer Science
Bachelor's Degree in Computer Science from New York University, completed in May 2014.
Tech stack
Software and tools used professionally
Amazon Redshift
Snowflake
Fivetran
Azure Synapse
Apache Spark
AWS Glue
Google Cloud Platform
Amazon S3
Kubernetes
GitHub Actions
PySpark
dbt
Terraform
Azure DevOps
Python
Java
Scala
MLflow
Kafka
Grafana
Prometheus
Linux
Datadog
Amazon Kinesis
AWS Lambda
Azure Functions
Git
Docker
Airflow
Google BigQuery
Amazon EMR
SQL
Monte Carlo
Soda
Delta Lake
Great Expectations
Bicep
Bash
Microsoft Fabric
OpenLineage
Unity Catalog
Microsoft Purview
Apache Kafka
Availability
Location
Authorized to work in
Salary expectations
Social media
Job categories
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