Dhrumil Parmar has a diverse work experience with roles in various companies and organizations. Dhrumil started their career as a Research Intern at Bharat Sanchar Nigam Limited in 2012. Dhrumil then worked as a Research Intern at IIIT Hyderabad in 2013, where they deployed PurposeNet using RDBMS which resulted in a significant reduction in query response time.
In 2014, Dhrumil joined Amdocs as a Software Developer, where they were involved in full stack software development and ETL pipeline development for telecommunication subscriber data. Dhrumil also migrated data from Oracle to HDFS using scripts.
Following that, Dhrumil interned at Clairvoyant LLC in 2018 as a Big Data Intern, where they worked with various technologies such as Airflow, Hadoop, Spark, and MySQL. Dhrumil developed a spark streaming application and set up a kerberized cluster on AWS.
In the same year, Dhrumil worked as a Research Assistant at Arizona State University, where they provided analysis tools for training and predicting RNA secondary structure. Dhrumil also developed a web app using Django and hosted it on Amazon Web Services.
From 2019 to 2021, Dhrumil worked at Google as a Software Engineer, gaining valuable experience in software development.
Most recently, they joined Level in 2021 as a Software Engineer. In this role, they led a team responsible for developing an end-to-end online unified processing pipeline. Dhrumil designed and developed a crucial component in the real-time processing pipeline and facilitated cross-collaboration meetings between different verticals in the company.
Currently, Dhrumil is set to join Arta Finance as a Software Engineer in 2023.
Dhrumil Parmar completed their education in the field of Computer Science. Dhrumil obtained a Master of Science (MS) degree from Arizona State University from 2017 to 2019. Prior to that, they earned a Bachelor's degree in Computer Engineering from Sardar Vallabhbhai National Institute of Technology between 2010 and 2014.
In addition to their formal education, Dhrumil has also obtained several certifications. These include completing courses such as "Algorithms on Graph" from Coursera, "Software Construction: Data Abstraction" and "Big Data Fundamentals" from edX, and various data science courses from DataCamp such as "Intermediate R Course", "Introduction to R Course", "Statistical Thinking in Python (Part 1) Course", "pandas Foundations Course", "Intermediate Python for Data Science", and "Intro to Python for Data Science Course".
Sign up to view 0 direct reports
Get started