---
title: "Vignesh V - Business Intelligence Analyst in Bengaluru | Tal"
description: "Meet Vignesh V, Data & Analytics Engineer | Pipelines + dashboards leaders decide with | Python · SQL · Snowflake · dbt · Airflow | Open to work based in Bengaluru. AI stack includes claude code, claude, and cursor. Explore public work links including github."
image: "https://tal.club/meet/vignesh-v-1/share-image"
---

# Vignesh V on Tal

## Headline

Data & Analytics Engineer \| Pipelines \+ dashboards leaders decide with \| Python · SQL · Snowflake · dbt · Airflow \| Open to work

## About

I'm a Data & Analytics Engineer \(\~5 yrs across Indeed and TCS\) who builds the pipelines and the dashboards leaders decide with\. I work across the data stack — Python and SQL for ingestion and transformation, Snowflake for warehousing, and Tableau / Power BI reporting that the C\-suite actually opens\. I'm now extending into the modern orchestration stack \(Airflow, dbt, CI/CD\) and shipping public projects to prove it — you'll find them on my GitHub and portfolio below\. 🟢 Open to: Data Engineer · Analytics Engineer · BI Analyst\. Immediate joiner, open to relocation, comfortable across global time zones\. Stack: Python · SQL · Snowflake · Tableau · Power BI · Airflow · dbt · Git · CI/CD

## Location

Bengaluru

## AI stack

claude code

claude

cursor

replit

claudecode

## Work experience

Business Intelligence Analyst at Indeed, Nov 2024 \- May 2026 · 1 yr 7 mos, Bengaluru, I have successfully contributed to data\-driven decision\-making at Indeed by enhancing visibility and engagement metrics\. • Developed dashboards that significantly improved data visibility for sales teams and product teams\. • Built efficient ETL pipelines to streamline data processing for lead generation tools\. • Collaborated on A/B testing initiatives to optimize user entry points and monitor subscription revenue health\.

Data Analyst at Tata Consultancy Services, Jul 2021 \- Nov 2024 · 3 yrs 5 mos, Bengaluru, Karnataka, India, Spearheaded automation of 10\+ manual processes with Python Scripts, resulting in a 75% reduction in data analysis time\. \- Analyzed client behavior by generating sales reports from 40\+ geographies and implemented a data warehouse handling 150 GB of data in SQL Server and Excel\. \- Created a reporting tool in Python \(Django\) improving efficiency by 94% in tracking website statistics across 20\+ branch office locations\. Responsibilities: \- Automated manual processes using Python scripts \- Conducted client behavior analysis based on sales data \- Stored, organized, and examined large datasets \- Developed reporting tools for efficient data tracking \- Produced monthly reports with advanced Excel functions Achievements: \- Reduced data analysis time by 75% through process automation \- Improved efficiency by 94% in tracking website statistics \- Handled 150 GB of data comfortably with a developed data warehouse Tech\-stack: Python\( Numpy, Pandas, Seaborn, Matplotlib\) , SQL Server, Excel, Power BI\-

## Education

Master of Business Administration \- MBA, Finance and marketing, University of Madras

Bachelor of Technology, Rubber and Plastics Technology, Anna University Chennai

## Public links

- github: https://github\.com/vigneshv\-analytics

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

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