---
title: "Anshul Garg - Open Source Contributor in Bengaluru | Tal"
description: "Meet Anshul Garg, SDE 3 | Walmart | Kafka · ClickHouse · Java · Python · Go · Spring Boot 3 · Distributed Systems · Event-Driven Architecture based in Bengaluru. AI stack includes cursor, opencode, and claudecode."
image: "https://tal.club/meet/anshul-garg-3/share-image"
---

# Anshul Garg on Tal

## Headline

SDE 3 \| Walmart \| Kafka · ClickHouse · Java · Python · Go · Spring Boot 3 · Distributed Systems · Event\-Driven Architecture

## About

I design distributed systems at Walmart that power supplier operations across the US, Canada, and Mexico\. My biggest impact so far: a Kafka audit platform processing 2M\+ events per day at under 5ms P99 overhead\. It is now the org\-wide integration standard\. Teams adopt it in a single day through one JAR dependency\. I also led a zero\-downtime Spring Boot 3 migration using canary releases\. I built a multi\-region Active\-Active Kafka setup with 15\-minute disaster recovery and zero data loss\. Before Walmart, I was at Good Creator Co\. I built the backend for a SaaS analytics platform with 6 microservices\. The data pipeline handled 10M\+ daily data points from Python scraping engines to ClickHouse analytics\. I also migrated logging from PostgreSQL to ClickHouse, cutting retrieval times by 2\.5x and costs by 30%\. Before that, I was at PayU\. I reduced loan disbursal failures by 93% and cut processing time by 66% through API optimisation\. What excites me is building event\-driven systems at scale, designing high\-throughput data pipelines, and making complex systems simple and reliable\. I also enjoy mentoring\. I served as a Teaching Assistant at IIIT Bangalore, guiding 50\+ students on production systems and CI/CD\. Outside work, I love experimenting with AI\-powered developer tools\. I build prototypes with FastAPI, LLMs, and workflow orchestration\. Skills: Java, Spring Boot 3, Python, Kafka, PostgreSQL, ClickHouse, Redis, Kubernetes, AWS, gRPC, Apache Airflow, Docker, Microservices, Distributed Systems, System Design, Event\-Driven Architecture, RabbitMQ, Avro, REST APIs, CI/CD\. anshulgarg\.garg509@gmail\.com \| \+91\-8560826690

## Location

Bengaluru

## AI stack

cursor

opencode

claudecode

## Work experience

Open Source Contributor at Google Workspace CLI, Mar 2026 \- Present · 6 mos, Contributed 10 merged pull requests to Google's official Workspace CLI, a Rust\-based unified CLI for Drive, Gmail, Calendar, Sheets, and Chat\. Contributions include security hardening \(path traversal validation\), timezone correctness fixes, OAuth scope mapping, first unit tests for Gmail triage, and documentation improvements including Homebrew installation guide\.

Software Engineer III \| Java, Kafka, Spring Boot, Distributed Systems at Walmart Global Tech India, Jun 2024 \- Jun 2026 · 2 y, Bengaluru, Designing distributed systems and event\-driven microservices for Walmart's supplier\-facing platform, serving operations across the US, Canada, and Mexico\. • Designed a three\-tier Kafka\-based audit logging system processing 2M\+ events per day at under 5ms P99 latency\. Uses Avro serialization, SMT\-based geographic routing \(US, CA, MX\), and GCS Parquet and BigQuery storage\. Now the org\-wide standard for API debugging, eliminating Splunk dependency\. • Built a reusable Spring Boot starter JAR with async HTTP body capture and a dedicated thread pool\. Adopted as the organization standard, reducing integration time from 2 weeks to 1 day per service\. • Implemented Active\-Active multi\-region Kafka across Azure EUS2 and SCUS with CompletableFuture failover\. Achieved 15\-minute disaster recovery \(vs 1\-hour RTO\) with zero data loss\. • Led Spring Boot 2\.7 to 3\.2 and Java 11 to 17 migration for the main supplier\-facing API\. Deployed Flagger canary releases \(10% to 100%\), achieving zero customer\-impacting issues\. • Developed DC Inventory Search API end\-to\-end using OpenAPI design\-first approach\. Enabled parallel consumer integration \(30% faster\) with a 3\-stage pipeline and factory pattern for multi\-site support \(US, CA, MX\)\. • Built a notification system for DSD suppliers\. Automated alerts to 1,200\+ Walmart associates across 300\+ store locations, improving stock replenishment timing by 35%\.

Software Engineer \| Python, ClickHouse, Kafka, Data Pipelines at The Good Creator Co\., Feb 2023 \- Jun 2024 · 1 yr 5 mos, Bengaluru, Built the backend infrastructure for a SaaS social media analytics platform with 6 microservices processing millions of daily data points across Instagram and YouTube\. • Owned a distributed data pipeline end\-to\-end\. Python scraping engine \(150\+ async workers\) feeding a Go gRPC service \(10K events per second\) through RabbitMQ into ClickHouse, processing 10M\+ daily data points\. • Migrated event logging from PostgreSQL to ClickHouse via RabbitMQ pipeline\. Solved write saturation at millions of logs per day with buffered sinkers \(1000 records per batch\), achieving 2\.5x faster retrieval, 5x compression, and 30% cost reduction\. • Orchestrated 20\+ Airflow workflows coordinating 30\+ DBT models with frequency\-based scheduling \(15\-min to weekly\)\. Implemented ClickHouse\-to\-S3\-to\-PostgreSQL sync with atomic table swaps, cutting data latency by 50%\. • Engineered dual\-database architecture \(PostgreSQL and ClickHouse\) with Redis caching, connection pooling, and 3\-level stacked rate limiting\. Reduced analytics query latency from 30s to 2s\. • Built an S3 asset pipeline processing 8M daily images and influencer discovery modules \(Genre Insights, Keyword Analytics, Leaderboard\) powered by ClickHouse aggregations, driving 10% engagement growth\.

Software Engineer \| Java, Spring Boot, REST APIs at PayU, Jan 2022 \- Feb 2023 · 1 yr 2 mos, Bengaluru, Joined as an intern during M\.Tech at IIIT Bangalore, then converted to full\-time\. Built and maintained the API lending platform powering loan disbursals for partners\. • Reduced loan disbursal failure rate by 93% \(from 4\.6% to 0\.3%\) through partner API integrations and process optimization\. Scaled business operations by 40%\. • Decreased loan disbursal TAT by 66% \(from 3\.2 min to 1\.1 min\) through API performance optimization using Java and Spring Boot\. • Refactored the Loan Origination System, increasing unit test coverage from 30% to 83% and cutting production bugs by over 50%\. • Introduced Flyway DB migrations, reducing deployment errors by 90% and doubling release frequency\.

Software Engineer Intern at PayU, Jan 2022 \- Feb 2023 · 1 yr 2 mos, • Reduced loan disbursal failure rate by 93% \(4\.6% to 0\.3%\) through partner API integrations and process optimization, scaling business operations by 40%\. • Decreased loan disbursal TAT by 66% \(3\.2 min to 1\.1 min\) through API performance optimization using Java and Spring Boot\. • Refactored the Loan Origination System, increasing unit test coverage from 30% to 83% and reducing production bugs\. • Introduced Flyway DB migrations, reducing deployment errors by 90% and doubling release frequency\.

## Education

Master of Technology \- M\.Tech, Computer Science, International Institute of Information Technology Bangalore

Bachelor of Technology, Computer Engineering, Swami Keshvanand Institute of Technology, Jaipur

[View the original profile](https://tal.club/meet/anshul-garg-3)

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