---
title: "Aman Agarwal - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Aman Agarwal, Senior Engineer @ Uber | CS @ IITG based in Bengaluru."
image: "https://tal.club/meet/aman-agarwal-8/share-image"
---

# Aman Agarwal on Tal

## Headline

Senior Engineer @ Uber \| CS @ IITG

## About

I’m a Software Engineer at Uber with 6\+ years of experience building scalable backend systems that power real\-world impact\. I graduated in Computer Science from IIT Guwahati, and I have a deep passion for solving complex problems through system design and data structures\. 🏆 Recipient of Individual Impact Award at Uber for designing and implementing the Table Availability Service \(TAS\) — a critical component managing status of datasets in hybrid data\-lake \- powering Uber's cloud migration\. This included building real\-time lag computation for hive\-synced datasets, blocking invalid secondary writes, and enabling delayed scheduling, significantly improving cloud query routing \(&gt;90% from the initial 30%\)\. TAS now supports migrations across pipelines like Presto, Piper, Ingestion, and MA\. Core Strengths: • System Design \(HLD/LLD\) • Scalable Backend Architecture • DS/Algo Problem Solving • Distributed Systems • Product Thinking &amp; Cross\-Functional Collaboration Let’s connect if you’re building something meaningful 🚀

## Location

Bengaluru

## Work experience

Senior Software Engineer at Uber, Aug 2025 \- Present · 1 yr 2 mos, Bengaluru, Karnataka, India · Hybrid, Working on a system to detect and heal anomalies in the control plane of uber’s data platform\.

Software Engineer 2 at Uber, Jan 2023 \- Aug 2025 · 2 yrs 8 mos, Bengaluru, Karnataka, India · Hybrid, Led the design and implementation of the Table Availability Service \(TAS\) — a critical internal platform managing the availability and health of millions of datasets within Uber's hybrid data lake\. Improved cloud read query routing from 30% to 90%\+ by deeply analysing query patterns and replicating/migrating frequently queried datasets\. Built features like real\-time lag detection, delayed scheduling of pipelines, and invalid write\-blocking\. Collaborated across orgs \(Hive Sync, HMS, Presto, Ingestion, MA, UDQ\) to integrate TAS for migration of workloads and datasets accelerating Uber’s move to the cloud\. 🏆 Recognized with the Individual Impact Award for this work \- Given to 1 person in 500 people Tech Stack: Java, Hive, MySQL, Kafka, Uber's internal orchestration tools\.

Back End Software Engineer at WinZO, May 2021 \- Jan 2023 · 1 yr 9 mos, New Delhi, Delhi, India, ​Architected and led the development of two high\-impact backend micro\-services, including one built from scratch to handle high throughput and low\-latency traffic on WinZO's gaming platform\. Owned end\-to\-end design, development, and deployment, ensuring scalability and observability from day one\. Mentored and led a team of 3 engineers, conducting design reviews and guiding feature rollouts in production\. Tech Stack: NodeJs, MongoDB, PostgreSQL, Kafka, New Relic, BullQueues\.

Software Developer at Myntra Jabong, Jul 2019 \- Apr 2021 · 1 yr 10 mos, Bengaluru, Karnataka, India, Redesigned and re\-architected the Wishlist service to address scale bottlenecks — resulting in a 75% latency reduction and significantly improved user experience during peak sales and flash events\. Worked on the cart micro\-service, which had a peak load of 800K RPM\.

## Education

Bachelor of Technology \- BTech, Computer Science, Indian Institute of Technology, Guwahati

[View the original profile](https://tal.club/meet/aman-agarwal-8)

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