---
title: "Shubham Patel - Senior Engineering Manager in Bangalore Urban, Karnataka | Tal"
description: "Meet Shubham Patel, Engineering Leader | Data & Backend Systems | Scalable Infrastructure | AdTech | IIT Madras | LG Ad Solutions based in Bangalore Urban, Karnataka. AI stack includes antigravity, claude code, and codex. Explore public work links including medium and github."
image: "https://tal.club/meet/shubham-163/share-image"
---

# Shubham Patel on Tal

## Headline

Engineering Leader \| Data & Backend Systems \| Scalable Infrastructure \| AdTech \| IIT Madras \| LG Ad Solutions

## About

I am an engineering leader with over 7 years of experience specializing in high\-throughput backend systems and large\-scale data infrastructure\. My expertise lies in designing distributed systems, real\-time data pipelines, and cloud\-native architectures that drive business impact\. With a proven track record in both people management and technical architecture, I thrive in fast\-paced environments where I can lead high\-performing teams, mentor engineering talent, and bridge the gap between complex technical challenges and strategic product goals\.

## Location

Bangalore Urban, Karnataka

## AI stack

antigravity

claude code

codex

gemini

## Work experience

Senior Engineering Manager at LG Ad Solutions, Apr 2025 \- Present · 1 yr 4 mos, Bengaluru, Karnataka, India, \- Leading efforts on the migration of on\-prem Hadoop, Spark, Kafka, and Elasticsearch\-driven data\-compute ecosystem to Databricks\-based cloud infra\. \- Coaching and mentoring sub\-teams rebuilding data pipelines, improving cross\-region collaboration\. \- Contributing to defining modern data platform and infra\. Focused on building CCPA/GDPR compliance, Data Governance and Data Observability\.

Engineering Manager at LG Ad Solutions, Apr 2023 \- Jun 2025 · 2 yrs 3 mos, Bengaluru, Karnataka, India, \- Leading a high\-performing team of 9 engineers across data and backend systems, driving mentorship, performance reviews, and cross\-functional roadmap execution\. \- Scaled an Elasticsearch cluster from 30 to 75 nodes with comprehensive monitoring and automated detection of SSD degradation\. \- Optimized a Spark Streaming pipeline, increasing throughput from 1\.4M to 3M events per 250 seconds and improving ingestion latency from 18 hours to real\-time\. \- Improved SLAs and eliminated critical production incidents by redesigning pipelines, tuning retries, and scaling infrastructure\. \- Led the development of revenue data pipelines to automate financial and invoicing flows across product lines\. \- Delivered a high\-throughput pixel enhancement server \(25K QPS\) using Golang, Redis, and Kafka, supporting real\-time partner reporting\. \- Contributed to the hiring process by conducting 20\+ interviews, including data structures, system design, and cultural fit evaluations\.

Technologist at LG Ad Solutions, Jul 2019 \- Mar 2023 · 3 yrs 9 mos, Bengaluru, Karnataka, India, \- Built and maintained ETL pipelines processing over 4TB of data per day, contributing to $138M in annual revenue for the programmatic ad business\. \- Developed real\-time data pipelines using Apache Spark, Kafka, Elasticsearch, and Filebeat, reducing data latency from hours to seconds\. \- Designed and implemented a distributed fan\-out HTTP service handling 100K RPS input and 1M RPS output, improving SSAI efficiency by 20%\. \- Launched cloud infrastructure \(EC2, ELB, security groups, subnets\) on AWS for an in\-house SSP; supported load testing and pixel infrastructure\. \- Refactored and stabilized existing Pixel and ACR pipelines, fixing data gaps and improving data quality\. \- Built metadata crawlers and ranking pipelines for OTT platforms like Netflix, Prime Video, and Zee5, serving 100K\+ connected TVs across India\.

## Education

Master of Technology \- MTech, Computer Science, Indian Institute of Technology, Madras

Bachelor’s Degree, Information Technology, Institute of Engineering & Technology DAVV, Indore

## Profile highlights

I'm the person in every team who…: Who shows High Agency, Extreme ownership, Drive technical decision, Build consensus, Build Vision, Regularly reflect on what I do\.

What's hard for others but easy for me…: Sitting and digging into code for long hours\. Building great relationships across Engineering\.

My hot take about working with AI is…: You still need to understand code till one layer goes down\. Use for augmentation and refinement, but not intelligence replacement\.

The role I'd take a 20% pay cut for: Result in significant increase in ownership for the outcomes, should reflect for both financially and workwise\. Has to be a potentially rocketship\.

## Public links

- medium: https://medium\.com/@CodeKrafter
- github: https://github\.com/shubhampatel94

[View the original profile](https://tal.club/meet/shubham-163)

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