Tom Houweling

Staff Data Engineer / Technical Lead @ Komodo Health

About Tom Houweling

Tom Houweling is a Staff Data Engineer and Technical Lead at Komodo Health in San Francisco, with extensive experience in data engineering and software architecture.

Current Role at Komodo Health

Tom Houweling is currently working at Komodo Health as a Staff Data Engineer and Technical Lead. Based in San Francisco, California, Tom plays a pivotal role in data engineering, contributing to the company's data infrastructure and analytics capabilities. His responsibilities likely include designing and implementing data pipelines, leading technical teams, and ensuring the efficient processing of large datasets.

Previous Positions in Data Engineering

Before joining Komodo Health, Tom Houweling held several data engineering positions. He worked as a Data Engineering Consultant at Lyft from 2019 to 2021. Prior to that, he served as a Staff Data Engineer at NerdWallet for 7 months in 2019. Tom also has experience consulting at multiple organizations, including a short tenure at Chartboost and a six-month period at Funding Circle US in 2018. His early consultancy roles included positions at Facebook, Lookout, and WePay.

Consultancy Experience with Qbiz Inc.

From 2016 to 2021, Tom Houweling served as Lead Consultant in Data Engineering at Qbiz Inc., located in San Francisco, CA. During this five-year period, Tom provided strategic insights and technical expertise in data engineering, helping various clients optimize their data processes. His role involved managing data projects, implementing advanced analytics solutions, and leveraging his extensive experience in data architecture.

Educational Background

Tom Houweling holds a Master of Science in Computer Engineering (MSCE) from the University of Rhode Island. He also achieved an MSEE equivalent in Electrical and Electronics Engineering from ZHAW School of Engineering in Switzerland. This strong educational foundation has equipped Tom with comprehensive knowledge in both software and data architecture, critical for his roles in data engineering.

Technical Skills and Expertise

Tom Houweling possesses extensive skills in ETL processes and data analytics. He is proficient in multiple programming languages, including C/C++, Python, Bash, Java, and Clojure. Tom has expertise with cloud platforms like AWS and GCP, and he's experienced with database engines such as Hive, Presto, Snowflake, Redshift, PostgreSQL, MySQL, and BigQuery. Additionally, he is skilled in using containerization and orchestration tools like Docker and Kubernetes, and he's adept with workflow automation tools like Airflow. His deep understanding of the Linux kernel further enhances his technical capabilities.

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