Vipul Gharde
Data Engineer
Jersey City, New Jersey, United States
Summary
👤
Senior🎓
Top SchoolVipul Gharde is a data engineer with a decade of industry experience and four years focused on building scalable data pipelines, lakehouses, and analytics platforms using Python, Spark, dbt, and AWS. He has delivered production-grade ETL, data modeling, and quality frameworks at both large enterprises (Fidelity) and high-growth startups (Breeze Airways), where he helped design a two-person team’s new data lakehouse for passenger and operational analytics. A Rutgers MS in Computer Science, he blends strong ML and visualization skills with practical engineering—using tools from Great Expectations to Snowflake and Airflow—to turn messy operational data into trusted BI assets. Vipul’s background in full-stack development and experience across Java/Scala and modern cloud tooling give him a rare ability to bridge data engineering, product, and analytics teams. He is based in Jersey City and consistently focuses on delivering solutions that improve decision-making speed and data reliability.
10 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Computer Science, 3.83, Master of Science - MS, Computer Science, 3.83 at Rutgers University–New BrunswickBachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Malaviya National Institute of Technology JaipurHigh School, Computer Science, High School, Computer Science at Delhi Public School, Kuwait
English, Hindi
Github Skills (22)
recursion8
binary-search-tree8
placement8
strings8
binary-search8
automated-tests6
dynamic-programming6
backtracking6
cracking6
python6
loops6
bengali6
java6
algorithms5
bit-manipulation4
Programming languages (4)
Github contributions (5)
Vipul97/proglang
Dec 2016 - May 2022
Contributions:21 commits, 16 pushes, 1 branch in 5 years 6 months
Vipul97/learnml
Nov 2019 - May 2022
Contributions:7 releases, 124 commits, 114 pushes in 2 years 6 months
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