Darshil Parmar
Founder at DataVidhya
Mumbai, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolDarshil Parmar is a seasoned data engineer and founder combining hands-on cloud-native architecture with data strategy advisory across AWS, GCP, and Azure, with nine years of experience in data engineering, warehousing, ML, and BI. As founder of DataVidhya and a freelance Senior Data Engineer, he designs scalable data warehouses, automated pipelines, real-time streaming, and interactive dashboards that deliver immediate and lasting business value. He has led high-impact migrations and optimizations, including moving 100TB+ of data to Redshift, migrating 1500 SQL ETL scripts, and cutting daily monitoring time through automated pipeline oversight. He excels at translating stakeholder requirements into robust data products and has hands-on experience migrating dashboards from Tableau to DataStudio, underpinned by cloud-native thinking. An active educator and YouTuber, he shares practical data engineering knowledge through DataVidhya courses and open-source work like the Python for Data Engineering course, based in Mumbai, India.
9 years of coding experience
4 years of employment as a software developer
Diploma, Information Technology, A, Diploma, Information Technology, A at Shree Bhagubhai Mafatlal PolytechnicBachelor’s Degree, Information Technology, A, Bachelor’s Degree, Information Technology, A at K. J. Somaiya Institute Of Engineering and Information Technology
English, Hindi, Gujarati, Marathi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (5)
pandas10
jupyter-notebook10
data-analysis10
python9
data-exploration9
Programming languages (3)
Github contributions (5)
darshilparmar/python-for-data-engineering
Feb 2023 - Mar 2023
This repo contains all the code used in the Python for Data Engineering Course
Role in this project:
Data Scientist
Data ScientistContributions:19 commits, 16 pushes, 1 branch in 23 days
Contributions summary:Darshil's primary contribution involves data analysis within a Jupyter Notebook. The user imports pandas, a data analysis and manipulation library, and reads a CSV file containing data on Apple products. The code then uses pandas to display the first few rows, count the number of rows, and determine the maximum and minimum values within the 'Mrp' column. This suggests a focus on initial data exploration and understanding using pandas.
darshilparmar/Step-by-step-DataScience
Jan 2019 - Jan 2019
Contributions:10 commits, 7 pushes, 1 branch in 1 day
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