---
title: "Nishit Agarwal - Data Engineer in Gurugram | Tal"
description: "Meet Nishit Agarwal, Data Engineer | PySpark · AWS · SQL · Airflow · GenAI Pipelines | Building Scalable Data Platforms @ TCS based in Gurugram."
image: "https://tal.club/meet/nishit-agarwal/share-image"
---

# Nishit Agarwal on Tal

## Headline

Data Engineer \| PySpark · AWS · SQL · Airflow · GenAI Pipelines \| Building Scalable Data Platforms @ TCS

## About

I build data infrastructure that moves fast and breaks nothing\. Over the past 3\+ years, I've designed and owned end\-to\-end data platforms at TCS — from PySpark ETL pipelines on AWS Glue processing 10M\+ records daily, to a FastAPI service that cut API latency from 10 seconds to 3\. Most recently, I've been working at the intersection of data engineering and Generative AI — building agentic workflows that automate data quality validation and a natural language SQL assistant using RAG architecture\. My stack: Python · PySpark · AWS \(Glue, Lambda, S3, DynamoDB, Athena\) · Apache Airflow · FastAPI · SQL · Power BI · GenAI I'm currently open to Senior Data Engineer and Data Platform Engineering roles at product\-first companies where data is a core competitive advantage\. 📩 Open to connecting — especially with engineers and teams solving hard data problems at scale\.

## Location

Gurugram

## Work experience

Data Engineer at Tata Consultancy Services, Dec 2023 \- Present · 2 yrs 7 mos, Gurugram, Haryana, India, • Designed and scaled distributed PySpark ETL pipelines on AWS Glue processing 10M\+ records daily, delivering curated datasets powering 20\+ Power BI dashboards for business analytics\. • Built and automated 5\+ production\-grade data pipelines integrating AWS Glue, S3, Lambda, and DynamoDB, enabling reliable ingestion and transformation of enterprise datasets\. • Built a centralized FastAPI\-based service for downstream data integrations, optimizing query execution, caching, and async handling, reducing API latency from 10s to 3s\. • Orchestrated streaming jobs and batch workflows using Apache Airflow, enabling automated data pipeline execution\. • Optimized complex SQL queries powering Power BI dashboards, refactoring joins and indexing strategies to reduce report execution time by 30–40%\. • Automated data quality validation using an agentic AI workflow, reducing manual validation efforts and eliminating operational incidents related to failed data uploads\.

Engineering Associate at Innovation and Technology, Jan 2023 \- Dec 2023 · 1 yr, Gurugram, Haryana, India, • Assisted in building basic ETL pipelines using Python and SQL to support internal reporting needs\. • Contributed to data cleansing and validation processes to improve dataset quality and consistency\. • Developed simple automation scripts to reduce manual data preparation tasks\. • Supported the engineering team in preparing datasets for dashboards and business intelligence tools\. • Gained hands\-on exposure to AWS services such as S3 and Lambda through small configuration tasks and team collaborations

## Education

Bachelor of Technology \- BTech, Electrical, Electronics and Communications Engineering, Guru Gobind Singh Indraprastha University

12th, Science, dav public school

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

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