Theodore Manassis
Senior Software Engineer (G7 Level) at Ministry of Justice UK
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolTheodore Manassis is a Senior Software Engineer with 11 years’ experience building data pipelines, FinOps/GreenOps tooling, and scalable analytics platforms across UK government organisations. He combines deep expertise in PySpark, Apache Iceberg, DBT and AWS serverless services with practical software engineering disciplines—CI/CD, Docker, and automated testing—bringing production-grade rigor to data lakehouse and cost-optimisation projects. Previously a resident Spark specialist and contributor to the widely-used splink probabilistic data-linkage library, he has applied statistical linkage, NLP and graph-database techniques at scale for the MOJ and ONS. Comfortable across environments from mainframes to cloud, he pairs an MSc in Operational Research and Applied Statistics with hands-on experience in Python, Scala and multiple legacy languages. Colleagues rely on him for bridging research-grade methods and dependable operational systems, and he often surfaces pragmatic documentation and tooling improvements that make complex data workflows more accessible.
10 years of coding experience
18 years of employment as a software developer
Master of Science (MSc) Operational Research and Applied Statistics, Master of Science (MSc) Operational Research and Applied Statistics at Cardiff University / Prifysgol CaerdyddBachelor of Science (BSc) Computer Science, Bachelor of Science (BSc) Computer Science at Middlesex UniversityMaster of Science (MSc) Visualization and Virtual Enviroments, Master of Science (MSc) Visualization and Virtual Enviroments at University of Hull
German, Greek, English
Stackoverflow
696reputation
14kreached
36answers
6questions
Github Skills (12)
data-science10
documentation10
sphinx10
python9
json6
apache-spark6
csv6
pyspark6
python-packaging6
graph-theory6
scala6
graphframes6
Programming languages (14)
Github contributions (5)
moj-analytical-services/splink
Dec 2019 - Jan 2023
Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
Role in this project:
Data Scientist
Data ScientistContributions:2 releases, 10 reviews, 105 commits in 3 years 1 month
Contributions summary:Theodore primarily contributed to the documentation and setup of a data linkage project, "splink", demonstrating expertise in data science and documentation practices. Their commits involved setting up the Sphinx documentation, including configuration files and initial content, indicating a focus on making the project accessible and understandable. They also addressed code issues related to term frequency adjustments, demonstrating their contribution to the core functionality and mathematical underpinnings of the project.
data-matchingrecord-linkagelinkagescalableduckdb
mamonu/mamonu
Jul 2020 - Oct 2021
Contributions:24 commits, 46 pushes, 1 branch in 1 year 3 months
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