Philip Hodder
Data Engineer, Oncology Data Science
Greater Guildford Area, United Kingdom
Summary
👤
Senior🎓
Top SchoolPhilip Hodder is a data engineer and oncology data science specialist with nine years of hands-on experience building data pipelines, analytics tooling and synthetic-data solutions in regulated, GxP AWS environments. With a PhD in astrophysics and a background spanning enterprise architecture, XML/content transformation and DevOps, he blends rigorous scientific thinking with practical software engineering—especially Python, Pandas and cloud-native tooling. At AstraZeneca he created reusable Redshift extraction libraries and synthetic clinical-trial generators to enable privacy-preserving analysis, and previously improved search analytics and publication pipelines at LexisNexis. Comfortable leading cross-functional teams or working independently, he has a track record of simplifying complex ETL and schema problems and reducing onboarding and troubleshooting times through automation and documentation. Notably, his career bridges deep research training and production-grade engineering, giving him a rare aptitude for turning domain complexity into auditable, reproducible data solutions.
9 years of coding experience
16 years of employment as a software developer
BSc Astronomy, BSc Astronomy at University of St AndrewsPhD Astronomy & Astrophysics, PhD Astronomy & Astrophysics at The University of British Columbia
Stackoverflow
13reputation
145reached
0answers
1question
Github Skills (48)
markdown10
markup10
table-of-contents10
converter10
markup-language10
commonmark10
pandoc10
haskell10
text-based8
text-editor7
command-line7
atom-plugin7
html6
golang6
micro6
Programming languages (9)
Github contributions (5)
encodis/mokuwiki
Jul 2019 - Jan 2025
Contributions:24 pushes, 1 branch, 1 tag in 5 years 7 months
encodis/gamecards
May 2018 - Sep 2020
Contributions:14 commits, 8 pushes, 1 branch in 2 years 4 months
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