---
title: "Aniket Kalsait - Senior System Analyst in Mumbai | Tal"
description: "Meet Aniket Kalsait, Helping teams turn complex enterprise data into actionable insights | System Analyst at National Stock Exchange of India | ETL Engineering • Data Warehousing • Business Intelligence | Informatica • Hive • PostgreSQL based in Mumbai."
image: "https://tal.club/meet/aniket-13/share-image"
---

# Aniket Kalsait on Tal

## Headline

Helping teams turn complex enterprise data into actionable insights \| System Analyst at National Stock Exchange of India \| ETL Engineering • Data Warehousing • Business Intelligence \| Informatica • Hive • PostgreSQL

## About

Migrated terabytes of enterprise data, built 20\+ production ETL pipelines, and reduced critical data processing time from 10 hours to 2 hours through optimized data engineering workflows\. I’m a data engineering professional with 3\.8\+ years of experience designing and managing scalable data pipelines, supporting analytics platforms, and enabling data\-driven decision making across multiple business functions\. My work focuses on turning complex and fragmented datasets into reliable, structured, and accessible data assets\. Currently working as a System Analyst at National Stock Exchange of India, I contribute to enterprise\-scale data platforms that support financial market operations and analytics\. This environment requires building robust, high\-reliability data pipelines where data quality, performance, and scalability are critical\. Over the years, I have worked extensively on ETL development, large\-scale data migration, and data warehouse optimization, helping organizations modernize legacy data systems and move toward scalable big\-data platforms\. Some areas where I have delivered impact: • Migrated terabytes of data across enterprise platforms during large\-scale data modernization initiatives • Designed and deployed 20\+ ETL pipelines supporting multiple business teams • Optimized ETL workflows to reduce runtime from 10 hours to \~2 hours • Reduced manual operational effort by automating data workflows and monitoring processes • Supported analytics teams with reliable and structured datasets for reporting and business intelligence My core technical stack includes: SQL • Spark • Python • Hive • Linux I work across the full lifecycle of data engineering — from data ingestion and transformation to pipeline orchestration, warehouse modeling, and analytics enablement\. I enjoy solving complex data problems and building systems that make data easier to access, trust, and use\. With strong experience in enterprise data platforms and financial market data environments, I am now looking to grow into roles such as Senior Data Engineer or Data Architect, where I can design scalable data systems and help organizations build modern data infrastructure\. I’m always open to connecting with professionals in the data space and exploring the right opportunities to build impactful data platforms\.

## Location

Mumbai

## Work experience

Senior System Analyst at NSE India, Dec 2022 \- Present · 3 yrs 7 mos, Mumbai

## Education

PG\- DBDA, Big Data Analytics, SM\-VITA MUMBAI

Bachelor of Engineering \- BE, Electrical Engineering, University of Mumbai

[View the original profile](https://tal.club/meet/aniket-13)

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