Harsh Maheshwari
Principal MTS at Salesforce
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolHarsh Maheshwari is a Principal MTS with over 16 years of experience building high-performance, highly scalable data platforms and distributed systems, currently contributing to Salesforce Data Cloud. He has driven architecture and implementation across ingestion, query execution, and table maintenance for lakehouse platforms (notably at Dremio) and built ad-serving and analytics pipelines that handled peak loads approaching 20k RPS. Hands-on across the stack, he combines deep expertise in distributed caches, NoSQL/RDBMS, stream/batch processing, IAM and security, and is comfortable with HA deployments and integration work. A certified Scrum Master and mentor, he’s led cross-team delivery and improved developer productivity through test automation—evident from contributions to the popular open-source Nessie project enhancing serialization, testing, and Spark catalog validation. He is also an inventor with eight published patents, reflecting a pattern of pragmatic innovation alongside production engineering. Based in Hyderabad, he blends enterprise-grade product architecture experience with a track record of shipping resilient, maintainable systems.
6 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and ScienceHSC, HSC at ABPS NagdaB.E. Computer Science, B.E. Computer Science at MEDICAPS INSTITUTE OF TECHNO MANAGEMENT, INDORE
Github Skills (13)
javas10
spark10
java10
testing10
apidoc9
jackson9
api9
ice8
apache-iceberg8
git7
data-model6
user-data6
data-set6
Programming languages (1)
Github contributions (5)
projectnessie/nessie
Sep 2021 - Nov 2021
Nessie: Transactional Catalog for Data Lakes with Git-like semantics
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:44 reviews, 7 commits, 7 PRs in 1 month
Contributions summary:Harsh primarily focused on enhancing the project's testing infrastructure and improving the quality of the codebase. Their contributions included implementing and testing Jackson serialization/deserialization for data models, ensuring data integrity. They also worked on validating the Spark catalog configuration and refactoring test cases to improve maintainability and coverage. Additionally, the user addressed issues related to handling list entries and improved the user interface by fixing redirects and API examples.
data-lakesdatatransactionalaws-lambdaspark
harshm-dremio/gitevaluation
Nov 2019 - Dec 2019
Repo is created for checking the mutation and frequency of operations, that can be performed on GIT
Contributions:1 PR, 1214 pushes, 2 branches in 21 days
performedpythonmutationchecking
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