---
title: "Pratyush Guleria - Data Engineer | SwiffyLabs in Greater Bengaluru Area | Tal"
description: "Meet Pratyush Guleria, Data Engineer @ Swiffy Labs | Real-Time CDC (Debezium, Kafka) | Databases & Deployment (Postgres, ClickHouse, Docker) | Advanced Analytics | Applied Math | Machine Learning based in Greater Bengaluru Area. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/pratyush-guleria/share-image"
---

# Pratyush Guleria on Tal

## Headline

Data Engineer @ Swiffy Labs \| Real\-Time CDC \(Debezium, Kafka\) \| Databases & Deployment \(Postgres, ClickHouse, Docker\) \| Advanced Analytics \| Applied Math \| Machine Learning

## About

Highly driven and detail\-oriented professional with a solid foundation in software development\. I create scalable, user\-focused solutions by combining intuitive design with analytical insight\. Focused on clarity, efficiency, and long\-term value, I thrive in fast\-paced environments that prioritize innovation and strategic impact\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

cursor

gemini

## Work experience

Data Engineer \| SwiffyLabs at Finfactor, Feb 2026 \- Present · 9 mos, Bengaluru, Karnataka, India, • Built real\-time CDC pipelines from PostgreSQL using Debezium and Kafka, and developed an end\-to\-end migration POC using PostgreSQL and dbt for scalable and reliable data movement\. • Improved ClickHouse query performance and reduced storage by transforming semi\-structured JSON into optimized schemas using materialized views and Python\-based benchmarking\. • Developed tenant\-level analytical reports using advanced SQL \(CTEs, joins, aggregations, and window functions\) and automated reporting workflows through AI\-assisted validation and standardization\.

Data Analyst at Finfactor, Nov 2025 \- Feb 2026 · 4 mos, Pune City, Maharashtra, India, • Built a Python\-based transaction clustering module using Scikit\-learn and DBSCAN to segment customer financial behavior, reducing manual classification effort by 40%\. • Processed and standardized 300,000\+ transaction records from multiple FIPs, developed Regex\-based data cleaning pipelines, and improved model performance by 30%\. • Executed advanced SQL analysis in DBeaver to identify banking charge patterns and collaborated with engineering and product teams to validate transaction categories for downstream financial risk models\.

Jr Full Stack Developer Intern at Webhizzy, Jan 2025 \- Mar 2025 · 3 mos, New Delhi, Delhi, India, • Built responsive user interfaces using React\.js, improving navigation efficiency by 30% through optimized component architecture and enhanced user experience\. • Integrated geofencing with real\-time event triggers, improving location\-based engagement accuracy by 40% for scalable real\-world use cases\. • Developed RESTful APIs using Node\.js and MongoDB, reducing response latency by 25% and contributing to end\-to\-end full\-stack feature delivery and deployment\.

Analytics & Frontend Intern at Lovely Professional University, Dec 2023 \- Jun 2024 · 7 mos, Phagwara, Punjab, India, • Designed responsive email templates in Figma, converted them to HTML/CSS, and managed automated marketing campaigns for Lovely Professional University to streamline outreach and improve engagement\. • Built client\-specific frontend solutions using React\.js, including interactive dashboards, enhancing UI/UX and increasing user engagement by 30%\. • Developed real\-time Power BI dashboards for KPI monitoring and reporting, reducing manual analysis effort by 70% and improving tracking efficiency by 50%\.

## Education

Master of Technology, AI and Data Science Engineering, Indian Institute of Technology, Patna

Bachelor of Technology \- BTech, Computer Science \(Hons\.\), Lovely Professional University

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

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