---
title: "Guru Sudhan Muthuvel - Data Engineer in Bengaluru | Tal"
description: "Meet Guru Sudhan Muthuvel, Data Engineer at Rubrik based in Bengaluru. AI stack includes claude, gemini, and openai."
image: "https://tal.club/meet/guru-sudhan-muthuvel/share-image"
---

# Guru Sudhan Muthuvel on Tal

## Headline

Data Engineer at Rubrik

## About

I’m a Senior Data Analyst with around four years of experience across risk analytics, data engineering, and business analytics\. At PayPal, I was part of Seller Risk domain, where I focused on seller losses and the risk they brought to the PayPal portfolio and worked on monitoring losses and TPV of PayPal merchants, performing loss diagnostics across seller segments, automating recurring reports using Python, and building Tableau dashboards to track metrics and transaction\-level datasets to analyze fraud trends and their impact on the business\. Currently, I’m a Senior Data Analyst at Rubrik, where I work extensively with SQL, Python, Snowflake, and ETL\. I’ve built end\-to\-end ETL data pipelines and scalable Snowflake datasets to automate data ingestion and transformation from AWS S3\. I’ve also developed Claude skills to monitor test case trends and infrastructure\-related Jiras, helping with faster anomaly detection and quantifying the impact of infrastructure issues\.

## Location

Bengaluru

## AI stack

claude

gemini

openai

ChatGPT

Glean

Google ADK

## Work experience

Data Engineer at Rubrik, Jun 2025 \- Present · 1 y 3 mo, Bengaluru, Karnataka, India, • Built a GenAI analytics agent to compare backend job runtimes against historical baselines, identifying bottlenecks and redundant jobs and reducing PR Sail time by 50 mins/PR\. • Designed a Snowflake pipeline for Claude session data using Snowpipe auto\-ingest from an S3 stage into a staging table and a stream\-driven stored procedure, enabling reliable token usage tracking and optimization\. • Engineered and enabled daily ingestion and deduplication of code coverage data into Snowflake, orchestrating the pipeline end\-to\-end with Airflow and PySpark across 12\+ Jira components\. • Built Claude AI skills with Snowflake MCP to analyze test\-case KPIs across 20\+ engineering components and identify top infra\-related JIRAs, reducing MTTR by 4\+ hours\. • Performed data quality validation, data cleaning, cross\-table reconciliation, and integrity checks across 8\+ Snowflake schemas to ensure data accuracy and reliability\.

Data Scientist at PayPal, Jul 2022 \- Jun 2025 · 3 yrs, Bengaluru, Karnataka, India, • Owned end\-to\-end fraud investigations, from suspicious pattern detection and risk assessment to decisions and mitigation, preventing $1M–$1\.5M in risky TPV/month\. • Led MBRs/QBRs with cross\-functional stakeholders to communicate analytical findings, align on risk KPIs, and drive mitigation strategies, preventing $1M in monthly net loss on average\. • Performed ad\-hoc analysis of transaction and behavioral data to identify trends, generate actionable insights, and recommend business strategies\. • Partnered with management and cross\-functional stakeholders to translate business questions into analytical hypotheses, define requirements, and develop data\-driven solutions\. • Automated recurring quality and loss reporting and standardized stakeholder communication, reducing investigation time by 1 day/week and improving reporting consistency\. • Developed and analyzed transaction\-level datasets to identify fraud trends, support loss forecasting, and quantify business impact\. • Built an actions coverage dashboard to identify gaps across fraud trends and restrictions, enabling operational prioritization and reducing loss by 1\.5 bps/month\. • Applied statistical analysis to identify loss trends and forecast monthly losses for new business accounts, supporting risk assessment and business planning\.

Data Analyst Intern at PayPal, Jan 2022 \- Jun 2022 · 6 mos, Chennai, Tamil Nadu, India, • Monitored high\-risk merchants, tracking TPV, losses, and restrictions, and automated reporting for consolidated visibility\. • Built point\-in\-time loss datasets and loss arrival curves to assess the impact of the Russia\-Ukraine war on seller\-side losses\.

Product Intern at Doubtnut, Jul 2021 \- Dec 2021 · 6 mos, Gurugram, Haryana, India, • Monitored key success metrics, including user drop\-off, search accuracy, and optimization performance, to identify improvement opportunities\. • Designed product workflows and algorithms to solve user\-specific problems, driving a 6% improvement in a key KPI\.

## Education

Master of Science \- MS, Mathematics, BITS Pilani, Hyderabad Campus

Bachelor of Engineering \- BE, Mechanical Engineering, BITS Pilani, Hyderabad Campus

[View the original profile](https://tal.club/meet/guru-sudhan-muthuvel)

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