Niroshan Wickramasinghe

Lead Data Engineer

Melbourne, Victoria, Australia
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Summary

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Senior
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Top School
Niroshan Wickramasinghe is a Lead Data Engineer based in Melbourne with eight years of experience designing and delivering cloud-native data platforms and metadata-driven ETL frameworks. He has led greenfield projects across Australian government and enterprise clients—building ingestion pipelines, dbt-based warehouses, and PII obfuscation strategies on Azure and Databricks. Comfortable both mentoring teams and rolling up his sleeves, he has translated academic research (a PhD in Computer Science) into production systems, including a detailed synthetic population generator used for urban planning. Beyond standard data engineering, he has entrepreneurial experience co-founding a mental-health smart-home startup and has built interactive scientific visualisations for public-facing government sites, demonstrating a blend of technical depth and public-impact thinking.
code8 years of coding experience
job9 years of employment as a software developer
bookBachelor of Science (B.Sc.), Computer Science, Second Class (Upper), Honours, Bachelor of Science (B.Sc.), Computer Science, Second Class (Upper), Honours at University of Colombo
bookMathematics, Mathematics at Ananda College, Sri Lanka
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at RMIT University
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Stats
2,064reputation
332kreached
14answers
43questions
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Github Skills (34)

synthetic10
million10
data-validation9
data-quality9
eda9
data-integrity9
exploratory-data-analysis9
pipeline9
data-profiling9
faust9
python8
mlops8
dvc8
data-science8
data-engineering7

Programming languages (3)

JavaJavaScriptPython

Github contributions (5)

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wniroshan/great_expectations

Sep 2021 - Jun 2024

Always know what to expect from your data.
Contributions:10 pushes, 4 branches in 2 years 9 months
data-analysispythondatadata-science
denizens/freesyn

Aug 2018 - Dec 2018

Contributions:8 pushes, 1 branch in 4 months
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Niroshan Wickramasinghe - Lead Data Engineer