TIM POMAVILLE
TIM POMAVILLE
I'm a multidisciplinary engineer with roots in Chemical Engineering and a career that's run through automotive, chemical, and aerospace manufacturing. That operational background isn't incidental - it shapes how I build data systems. I understand the processes the data describes, not just the pipelines that move it. I know what it means when a sensor goes offline, or a batch job fails, because I've been in the plant when it happens. This perspective drives me to build data platforms that aren't just technically robust, but operationally resilient and aligned with the realities of manufacturing environments.
Over the past six years I've moved deeper into platform and data engineering, designing and operating Kubernetes-native infrastructure for data-intensive workloads. My stack spans GitOps with ArgoCD, secrets management with Vault, SSO with Keycloak, and a full ML/data platform - Spark, Airflow, MLflow, Trino, JupyterHub, Metabase - deployed on self-hosted Kubernetes and secured end-to-end. I care about the layer that lets teams move fast without breaking things: reproducible deployments, automated security scanning, experiment tracking, and self-service tooling that doesn't require a platform ticket to use.
Most of my recent work sits at the intersection of manufacturing operations and modern data engineering - the space where OT historians, process data, and ML pipelines finally start talking to each other. I run Morning Star Engineering, a consultancy focused on that problem, and I'm always open to interesting work in the same vein.
My proficiency in each skill (drag to scroll)
Used in most of my work
Used in most of my work
Used in most of my work
Used in most of my work
Used in most of my work
Used in most of my work
Used in most of my work
Used in most of my work
Used in most of my work
Education & Professional Certifications
University of Michigan Ann Arbor, 2011
GPA: 3.0/4.0
California State University Fullerton, 2024
GPA 3.9/4.0
University of Illinois - Urbana-Champaign
In Progress
Expected:2027
In Progress
2026
The Open Group
In Progress
2026
Completed
2015
Years of professional experience across disciplines
Data engineering platforms and projects I'm working on
A comprehensive data engineering stack with modern open-source technologies
End-to-end reference architecture for manufacturing-adjacent data pipelines - events flow from Kafka through Flink into PostgreSQL, transformed by dbt, and surfaced in Metabase dashboards. Demonstrates how industrial sensor and operational data can be made queryable in near-real-time without a managed cloud data warehouse.
A Next.js internal developer portal giving engineers a single pane of glass over the entire data platform. Integrates Keycloak SSO, embeds live Grafana dashboards, and surfaces direct links to JupyterHub, Airflow, MLflow, and Metabase - eliminating bookmark sprawl and reducing time-to-tool for new team members.
Self-hosted MLflow deployment on Kubernetes backed by PostgreSQL and MinIO object storage. Provides a Databricks-compatible experiment tracking and model registry layer for JupyterHub workloads - enabling reproducible ML experiments and a clear path from notebook prototype to registered model artifact, without a managed cloud dependency.
Enterprise platform engineering projects and architectural decisions
Built a production-grade, self-hosted data platform on Kubernetes to eliminate dependence on managed cloud services for data-intensive workloads - delivering Databricks-class capabilities (experiment tracking, distributed compute, orchestrated pipelines) at a fraction of the cost, with full control over data residency and security posture.
Replaced a fragile, manually-managed Docker Compose environment with a fully declarative, GitOps-driven platform that any engineer can onboard to in minutes. The result is a reproducible, auditable data infrastructure that supports manufacturing-adjacent analytics workloads - with enterprise security controls typically only found in cloud-managed offerings.
Web properties and platforms I have built and operate
Internal developer portal for the Morning Star Engineering data platform. Single sign-on via Keycloak, embedded Grafana dashboards, and direct links to every platform tool - giving engineers one place to start their day.
Morning Star Engineering company website.
Morning Star Engineering ERP portal for internal operations management.
My reading journey through technical and professional development
This section will showcase the books I've read, organized by year, covering technical topics, leadership, and personal development.
I aim to read at least 4 technical and professional development books per year, focusing on software engineering, data and machine learning engineering, leadership, and personal growth.
© Copyright Tim Pomaville 2026
