---
title: "Udhav Mohata - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Udhav Mohata, Senior Software Engineer (SDE 3) | Distributed Systems Architect | 1M+ RPM & 10TB+ Scale | Java • Python • Kafka • ClickHouse • Apache Iceberg based in Bengaluru. AI stack includes claude code, claude, and cursor. Explore public work links including github, medium, and leetcode."
image: "https://tal.club/meet/udhav-mohata/share-image"
---

# Udhav Mohata on Tal

## Headline

Senior Software Engineer \(SDE 3\) \| Distributed Systems Architect \| 1M\+ RPM & 10TB\+ Scale \| Java • Python • Kafka • ClickHouse • Apache Iceberg

## About

Senior Software Development Engineer \(SDE 3\) \| 1M\+ RPM & 10\+ TB Scale I architect high\-performance backend systems and data lakehouses that handle massive scale \(1M\+ RPM & 10\+ TB\)\. Currently at BrightEdge \(Ex\-Shiprocket\), I specialize in building distributed services and real\-time pipelines that prioritize both technical elegance and cost\-efficiency\. Core Technical Impact: \- Scale & Performance: Engineered microservices handling 1M\+ RPM and optimized ClickHouse queries over 10\+ TB datasets to meet a strict 5\-second SLA\. \- Data Architecture: Architected a Data Lakehouse \(Apache Iceberg/ClickHouse\) that reduced ETL costs by 40%and accelerated data availability by 3x\. \- Reliability & Security: Built custom Kafka deduplication and rate\-limiting engines to ensure 99\.9% system stability during peak loads\. \- Cost Optimization: Reduced cloud infrastructure spend by 40% through strategic migrations to distributed SQL engines and resource tuning\. The Engineering Mindset: I am a language\-agnostic architect \(Java, Python, Go\) who believes technical excellence is a means to solve business problems\. I am a proponent of AI\-augmented development \(leveraging tools like Claude Code\) to ship higher\-quality code faster\. Current Research: Deep\-diving into Agentic AI and RAG architectures to understand the next evolution of distributed systems\. Tech Stack: Java, Python, Kafka, ClickHouse, Apache Iceberg, Spring Boot, Distributed Systems, Microservices architecture, Cloud Infrastructure\.

## Location

Bengaluru

## AI stack

claude code

claude

cursor

gemini

notebooklm

openai

## Work experience

Senior Software Engineer at BrightEdge, Oct 2025 \- Present · 11 mos, \- Architected a Data Lakehouse foundation using Apache Iceberg and Clickhouse, reducing ETL pipelines cost by 40% and accelerating data availability for analytics by 3x\. \- Led the end\-to\-end development of the Keyword Reporting backend, building high\-performance REST APIs that query 10\+ TB of data in ClickHouse with SLA of 5\-second\. \- Implemented Trino and Clickhouse as a distributed SQL engine to query heterogeneous datasources, significantly reducing ad\-hoc analytical latency compared to legacy MariaDB systems\. \- Designed a robust Data Collection Framework \(Python, Redis\) that reduced keyword dataingestion time from 4 to 2 days while maintaining >95% reliability\. \- Optimized cloud infrastructure costs by 40% through the migration of analytical workloads from MariaDB to ClickHouse\.

SDE 2 at BrightEdge, Sep 2024 \- Nov 2025 · 1 yr 3 mos, United States, \- Led ETL pipeline development \(Python, Redis\) to process 100\+ TB/week, transforming raw CSVs to Parquet on GCS for fast ClickHouse querying\. \- Migrated from MariaDB to ClickHouse, improving API response times by 60% and reducing cloud costs by 40%\. \- Reducing keyword related data collection time from 4 to 2 days, and implemented robust cleaning and deduplication logic to ensure >95% data reliability across the platform\.

Software Development Engineer \- 2 at Omuni, Jun 2023 \- Sep 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, \- Developed software solutions using Java, Spring Boot, Kafka, and AWS, demonstrating proficiency in modern development tools\. \- Engineered a reconciliation product optimizing order and payment processes, utilized by 5 Brands\. \- Played an integral role in designing a trend analysis product for data\-driven decisions by Brands\. \- Developing an algorithm for optimal store selection in order fulfillment, handling 200,000 daily API hits with <1000ms response time\. \- Achieved 95% accuracy in order/payment reconciliation and 80% accuracy in trend prediction/store selection\. \- Implemented custom Kafka features: delayed consumption, message prioritization, and rate\-limiting\. \- Implemented Redis\-based deduplication for efficient, real\-time inventory updates, eliminating Kafka duplicates\.

Software Development Engineer \- 1 at Omuni, Jan 2021 \- Jun 2023 · 2 yrs 6 mos, Bangalore Urban, Karnataka, India, \- Designs applications for omnichannel retail Platforms using the spring boot framework\. \- Integrated OMUNI products with eCommerce platforms like Magento and Shopify\. \- Developed and Worked on B2B projects that help top brands like Bata, Bestseller, and many others to integrate with OMUNI platform for Order, Inventory, and Logistic Management Systems\. \- Actively working on developing standard and scalable APIs for seamless communication using Java Spring boot\.

Software Development at Omuni, Jul 2020 \- Dec 2020 · 6 mos, Bangalore Urban, Karnataka, India, \- Designed and developed optimized and almost real\-time auto exception report generators for various microservices using Spring boot\. \- Implemented auditing of any kind of data using ELK stack to reduce overhead cost on MySQL database\. \- Build a recommendation engine, which does size recommendations to users based on past orders\. \- Developed a JSON MAPPER UI that edits Json and can also convert JSON to FTL file\.

## Education

Bachelor of Engineering \- BE, Telecommunications Engineering, Siddaganga Institute of Technology

High School Diploma, Geethanjali All India Senior Secondary School

## Public links

- github: https://github\.com/udhavmohata
- medium: https://medium\.com/@udhavmohata
- leetcode: https://leetcode\.com/udhavmohata

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

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