Neelesh Salian

Software Engineer at Apple

San Francisco, California, United States
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Summary

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Neelesh Salian is a software engineer with 11 years of experience based in San Francisco, specializing in data engineering and infrastructure. He contributes to prominent open-source projects like dbt-core, where he improved testing frameworks and addressed cross-platform adapter issues such as BigQuery varchar compatibility. A practiced conference speaker on data lineage and evolving data infrastructure, he blends hands-on engineering with clear technical communication. Neelesh holds degrees from the University of Mumbai and North Carolina State University and maintains a public-facing technical voice through talks and Medium posts. Outside work he’s a foodie, amateur photographer and budding writer—details he weaves into talks to make complex data topics more relatable. P.S. he prefers targeted outreach (add :: to your note) and declines recruiter contacts.
code11 years of coding experience
bookMaster's Degree, Master's Degree at North Carolina State University
bookBachelor's Degree, Bachelor's Degree at University of Mumbai
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Stackoverflow

Stats
119reputation
14kreached
11answers
1question
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Github Skills (20)

python10
data-engineering10
testing10
data-modeling10
dbt10
postgresql9
bigquery9
sql8
analytics8
business-intelligence7
elt7
maven6
hadoop-streaming6
amazon-emr6
log4j6

Programming languages (8)

JavaC++RustScalaJavaScriptGoJupyter NotebookPython

Github contributions (5)

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dbt-labs/dbt-core

Jan 2023 - May 2025

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Role in this project:
userData Engineer
Contributions:16 reviews, 22 PRs, 22 pushes in 2 years 4 months
Contributions summary:Neelesh primarily focused on adapting and extending testing frameworks within the dbt-core project. They refactored and relocated test suites related to simple snapshots and seeds, enhancing the testing infrastructure. The user also addressed platform-specific issues, such as fixing a BigQuery-related varchar type issue to ensure cross-platform compatibility. Furthermore, the user demonstrated expertise in adapting the dbt framework for specific database adapters such as BigQuery.
dbtdbt-viewpointslackpypadata-modeling
nssalian/spark

Jun 2015 - Mar 2016

Contributions:55 pushes, 18 branches in 8 months
apachebig-datasparkscalaapache-spark
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