---
title: "Pratik Agarwal - Data Engineer - Intern in Mumbai Metropolitan Region | Tal"
description: "Meet Pratik Agarwal, Data Engineer | Azure Databricks | PySpark | SQL | Databricks Certified DE Associate | Open to Work | Kiit ’26 based in Mumbai Metropolitan Region."
image: "https://tal.club/meet/pratik-agarwal-1/share-image"
---

# Pratik Agarwal on Tal

## Headline

Data Engineer \| Azure Databricks \| PySpark \| SQL \| Databricks Certified DE Associate \| Open to Work \| Kiit ’26

## About

Recent BTech \(IT\) graduate from KIIT DU \(CGPA: 8\.8\) with hands\-on experience in building production\-grade data pipelines on Azure Databricks\. During my internship at V4C\.AI, I built an enterprise retail analytics lakehouse integrating Kafka streaming, MongoDB, and batch CSV data using the Medallion architecture with Delta Live Tables\. I implemented CI/CD via GitHub Actions and Databricks Asset Bundles, enforced Unity Catalog governance with RLS/CLS, and delivered an enterprise cost report with 1/3\-year TCO projections\. 🏅 Databricks Certified Data Engineer Associate 💻 Tech Stack: Python \| PySpark \| SQL \| Azure \| Databricks \| Kafka \| MongoDB \| GitHub Actions \| Delta Lake \| Unity Catalog 🔍 Actively looking for Data Engineer / Data Analyst / Junior Data Engineer / Python Developer/ BI Engineer / Analytics Engineer roles — immediate joiner\! 📩 Open to opportunities — feel free to reach out: pratikagarwal1109@gmail\.com

## Location

Mumbai Metropolitan Region

## Work experience

Data Engineer \- Intern at v4c\.ai, Feb 2026 \- May 2026 · 4 mos, Pune District, Maharashtra, India, During my 3\-month internship at V4C\.AI, I worked as a Data Engineering intern where I got hands\-on experience building real production\-grade data pipelines on Azure Databricks\. I worked on three main projects\. My biggest project was building a complete data lakehouse for a retail company called Maven Market\. I had to bring in data from three different sources — CSV files, MongoDB, and live Kafka streams — and process them through a Bronze, Silver, Gold Medallion architecture using Delta Live Tables\. The entire codebase was config\-driven with no hardcoded values, and I set up a full CI/CD pipeline using GitHub Actions and Databricks Asset Bundles so that deployments were fully automated\. I also implemented data security using Unity Catalog — things like row\-level and column\-level security, data masking, and storing credentials in Azure Key Vault\. On top of that, I built a custom Python logging framework and Databricks SQL dashboards for business and engineering teams, and delivered an enterprise cost report with 1 and 3 year projections\. My second project was an internal Databricks pipeline where I ingested multiple file formats, benchmarked different optimization techniques like Liquid Clustering vs Z\-Ordering, and achieved around 20–35% query performance improvement with full test coverage using pytest\. My third project was a Python\-based Employee Performance Tracking System where I used both SQL \(SQLite\) and NoSQL \(MongoDB\) databases together, built a CLI application with modular code, and wrote automated tests with over 80% code coverage\. During the internship I also cleared the Databricks Certified Data Engineer Associate exam\.

## Education

Bachelor of Technology, Information Technology, KIIT \- Kalinga Institute of Industrial Technology

Bachelor of Technology \- BTech, Information Technology, School of Computer Engineering, KIIT DU

[View the original profile](https://tal.club/meet/pratik-agarwal-1)

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