Darshil Parmar - Founder at Freelance

Darshil Parmar

Founder at Freelance

Mumbai, Maharashtra, India

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Summary

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Senior

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Darshil Parmar is a founder and senior data engineer with nine years’ experience designing and delivering scalable cloud-native data platforms, ETL pipelines, and BI solutions across AWS, GCP, and Azure. He has led large migrations (100TB+ and thousands of ETL scripts), real-time streaming projects handling billions of rows, and performance-driven moves from MSSQL/Netezza to BigQuery and Redshift that yielded major latency and cost improvements. As a freelance consultant and educator (DataVidhya founder and YouTuber) he pairs hands-on implementation with teaching, sharing practical Python-for-data-engineering code and notebooks. Comfortable from architecture and data strategy to ML/NLP prototyping and dashboarding, he’s known for automating monitoring and speeding report cadence from hours to minutes. Based in Mumbai, he blends entrepreneurial drive with deep executional experience across the full modern data stack.

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 Polytechnic

Bachelor’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

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Github Skills (5)

pandas10

jupyter-notebook10

data-analysis10

python9

data-exploration9

Programming languages (3)

JavaScriptJupyter NotebookPython

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

Contributions: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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