Naim Panjwani

Lead Data Engineer

Old Toronto, Ontario, Canada
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Summary

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Senior
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Top School
Naim Panjwani is a Lead Data Engineer with over a decade of experience building scalable, parallel data-intensive applications and ETL pipelines across finance and genomics. He combines deep statistical and bioinformatics expertise—demonstrated by publications in top journals—with hands-on engineering managing 700+ production pipelines on Azure, OpenShift and Airflow. His background spans end-to-end analytics: GWAS annotation web apps, custom reference panels for imputation, large-scale HPC workflows, and ML-enabled data quality monitoring. A proven mentor and instructor, he has taught practical data analytics and visualization while guiding cross-functional teams to deliver robust data platforms. Notably, he bridges wet-lab science and cloud engineering, translating complex biological problems into reproducible, production-grade pipelines. Insatiably curious, he continuously adopts new tools to solve interdisciplinary physiological, financial and computational challenges.
code11 years of coding experience
job6 years of employment as a software developer
bookBachelor of Science, Biochemistry; Biotechnology Specialization, Bachelor of Science, Biochemistry; Biotechnology Specialization at University of Waterloo
bookMaster of Science (M.Sc.), Biostatistics, Master of Science (M.Sc.), Biostatistics at Dalla Lana School of Public Health, University of Toronto
bookMSc, Institute of Medical Science, A+, MSc, Institute of Medical Science, A+ at Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto
bookCertification in Data Analytics and Visualization, Computer Science, A+, Certification in Data Analytics and Visualization, Computer Science, A+ at University of Toronto School of Continuing Studies
languagesSpanish, Catalan, Hindi
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Stackoverflow

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Github Skills (5)

fine-mapping10
gwas10
sum10
localization9
testing8

Programming languages (3)

JavaScriptJupyter NotebookPython

Github contributions (5)

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naim-panjwani/scripts

Nov 2018 - Jun 2022

Contributions:32 pushes, 1 branch in 3 years 7 months
naim-panjwani/LocusFocus

Mar 2019 - Oct 2022

Application of the Simple Sum method for testing co-localization of GWAS with any other SNP-level data (e.g. eQTL data)
Contributions:7 reviews, 376 commits, 19 PRs in 3 years 7 months
mechanism-of-actionfine-mappingtestingmethodgwas-summary-statistics
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Naim Panjwani - Lead Data Engineer