Andrew Hollenbach is a VP of Engineering with 13 years of experience leading teams to deliver scalable backend and infrastructure solutions, now focused on smoothing onboarding at Privy. He combines hands-on platform engineering—experience with Kafka, AWS, Kubernetes, Terraform, and data ingestion tools—with a strong track record of growing engineers into tech leads and improving team health. At NerdWallet he owned critical identity, data, and observability work that supported millions of users and drove significant revenue through cross-functional projects. As a founding engineer and later VP at Privy and previously an engineering lead at FORM Kitchens, he has shipped everything from automated rendering pipelines to customer messaging systems. An open-source contributor to Apache Gobblin, he has improved core ingestion tooling and operational scripts, reflecting both infrastructure depth and attention to developer ergonomics. He champions diverse, inclusive teams and practical operational excellence, pairing technical breadth with a talent for scaling people and processes.
12 years of coding experience
9 years of employment as a software developer
BS/MS Computer Science, BS/MS Computer Science at Rochester Institute of Technology
Cognitive Science, Cognitive Science at Universität Osnabrück
A fun hack that gets Slackbot to force your teammates to work out!
Role in this project:
Back-end Developer
Contributions:16 commits, 1 PR in 7 days
Contributions summary:Andrew primarily focused on developing the back-end logic for a Slackbot workout application. Their contributions involved significant code refactoring, extracting variables for better code organization. They redesigned the bot's architecture, migrating to a configuration-based system, and implemented core features like user selection and exercise assignment. The user implemented a system to handle logging workout information and user data persistence, ensuring the application could track and save exercise data effectively.
A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.
Role in this project:
Backend & DevOps Engineer
Contributions:6 commits, 5 PRs, 7 comments in 20 days
Contributions summary:Andrew primarily focused on improving the functionality and usability of the `gobblin-standalone` script by adding support for environment variables and custom configuration files. They also implemented features such as setting JVM flags and fixing minor typos. Additionally, they fixed a bug in the `FileBased` partitioning logic, showcasing their involvement in core data processing components. This indicates a focus on both infrastructure and core Gobblin framework code.
datadcosdata-streambig-data-integrationbatch-data
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