Miles Granger is a seasoned data and software engineer with over 15 years of experience in software development, data science, cloud solutions, and DevOps. His skill set spans across Python, Rust, JavaScript, C++, C, AWS, and modern open-source technologies. With a Master’s in Data Science and a background in business (Accounting), Miles combines technical expertise with a strong foundation in problem-solving and communication. He is passionate about contributing to the open-source community and developing robust, scalable solutions for clients.
As an independent consultant, Miles specializes in AWS cloud infrastructure, data engineering, and integrating machine learning into business processes. His expertise in test-driven development, combined with his focus on maintainable and efficient solutions, allows him to deliver impactful results. Whether working on successful open-source projects like Dask, Apache Arrow, cramjam, gilknocker and others, or consulting for top-tier organizations, Miles consistently brings innovative ideas and a solutions-driven mindset to the table.
His career includes senior roles at Coiled and Voltron Data, where he contributed to the development of well-known Python-based open-source projects like Dask and Apache Arrow. At Lerøy Seafood Group, he led the creation of serverless data processing platforms on AWS, significantly improving business intelligence and data warehousing capabilities. At Equinor he was the lead contributor to the implementation of a large anomaly detection platform. While at Uni Research he participated in developing computer vision applications involving fish and vehicle detection. Throughout his career, Miles has worked with cutting-edge technologies such as Kubernetes, serverless architecture, and data lakes, and has a strong focus on continuous learning and professional growth.
Miles’s background in the US Air Force honed his discipline, analytical skills, and adaptability, which continue to influence his professional approach. His contributions to the open-source community, including libraries that address Python performance and compression, reflect his commitment to the broader tech ecosystem.
Education:
- M.Sc. in Data Science, Lewis University, USA (2016)
- B.Sc. in Business Administration (Accounting), University of Montana, USA (2014)
- A.Sc. in Logistics, Materials, and Supply Chain Management, Community College of the Air Force (2012)
Experience:
- Data Engineer, NORCE Norwegian Research Centre (2024–Present)
- Consultant / Contractor, Noetic AS (2020–Present)
- Senior Software Engineer (Dask & Distributed), Coiled (2023–2024)
- Cloud Architect / Lead Software Engineer, Raketech (2021–2024)
- Open Source Software Engineer, Voltron Data (2022)
- Cloud Architect, Lerøy Seafood Group ASA (2020–2022)
- Senior Business Intelligence Consultant, Webstep (2017–2020)
- Machine Learning Engineer, Equinor (2018–2020)
- Data Scientist, Fjordkraft (2017)
- Data Scientist & Python Developer, Uni Research (2015–2016)
Key Expertise:
- Cloud Infrastructure (AWS, Kubernetes, Serverless)
- Data Engineering & Data Science
- Open Source Contributions
- Machine Learning & AI Integration
- Python, Rust, JavaScript, C++
- DevOps & CI/CD (GitHub Actions, CircleCI)
