---
title: "Gaurang Jain - Software Development Engineer in India | Tal"
description: "Meet Gaurang Jain, Software Development Engineer @ AWS | Backend, Distributed Systems & GenAI Platforms | Java, Python, AWS CDK, Kafka, Spark | ex-Razorpay, ex-Meesho | IIIT-J based in India. AI stack includes claude code, claude, and kiro. Explore public work links including github."
image: "https://tal.club/meet/gaurang-jain/share-image"
---

# Gaurang Jain on Tal

## Headline

Software Development Engineer @ AWS \| Backend, Distributed Systems & GenAI Platforms \| Java, Python, AWS CDK, Kafka, Spark \| ex\-Razorpay, ex\-Meesho \| IIIT\-J

## About

Software Development Engineer at AWS, building the Quick GenAI platform — Amazon's enterprise GenAI offering\. I design and ship backend systems that serve LLM\-powered workflows at scale\. What I do: → Backend & Distributed Systems: Java, Python, AWS Lambda, DynamoDB, Kafka, Spark → Infrastructure as Code: AWS CDK, CloudFormation, control\-plane services → Data Platforms: ETL pipelines, real\-time CDC, metadata cataloging, data lineage \(DataHub\), data lakes \(Snowflake, Redshift\) → AI/ML Integration: LLM applications, LangChain, RAG, FastAPI services Recent impact: • Cut integration test cycle from 2\+ hours to minutes via decoupled test pipeline • Implemented static throttling on control\-plane Lambdas using AWS CDK • Built real\-time data sync with <2s lag using Debezium CDC \+ MSK Kafka • Shipped DataHub metadata ingestion pipeline \(Airflow \+ KubernetesPodOperator\) • Reduced server load 40% with SQL FailFast instrumentation using SQLGlot Background: B\.Tech in Computer Engineering from IIITDM Jabalpur\. Previously shipped data products at Razorpay \(DataSync, real\-time CDC\) and Meesho \(Data Catalog, lineage APIs, Text\-to\-SQL\)\. Open to connecting on: backend engineering, distributed systems, GenAI infrastructure, data platforms\. Stack: Java • Python • Scala • AWS \(Lambda, CDK, DynamoDB, S3, EC2, MSK\) • Kafka • Spark • Airflow • Snowflake • Redshift • DataHub • FastAPI • LangChain • Kubernetes • Debezium 📩 jain\.gaurang2001@gmail\.com

## Location

India

## AI stack

claude code

claude

kiro

langchain

openai

openclaw

## Work experience

Software Development Engineer at Amazon, Apr 2025 \- Present · 1 y 4 mo, On\-site, Building backend systems for Amazon Quick GenAI — Amazon's enterprise GenAI platform serving thousands of internal teams\. • Architected a decoupled integration test pipeline that cut test execution time from 2\+ hours to <10 minutes, unblocking faster release cadence for the team • Designed and implemented static throttling for control\-plane Lambdas using AWS CDK, enforcing per\-product and per\-API rate limits and preventing noisy\-neighbor issues at the platform layer • Reverse\-engineered undocumented internal services to expand test coverage on scheduled connector workflows, eliminating a key reliability gap • Diagnosed and patched a critical NullPointerException in the UpdateDataSource API with defensive null\-safety validation, preventing a customer\-facing outage • Automated cleanup of stuck data\-source syncs via Python tooling, removing recurring manual operational toil for on\-call engineers Tech: Java, Python, AWS \(Lambda, CDK, DynamoDB, S3\), CloudFormation

SDE at Razorpay, Oct 2024 \- Apr 2025 · 7 mos, Shipped data products powering merchant analytics and real\-time data sharing at fintech scale\. • Built an in\-house querying & reporting platform replacing Looker, cutting BI tooling spend significantly while serving analysts and risk teams with native merchant\-data reports • Designed a metadata ingestion pipeline for DataHub on Airflow \+ KubernetesPodOperator — established data observability, cataloging, and governance across the org • Architected the Realtime DataSync flow: Debezium CDC → MSK Kafka, delivering streaming merchant data with <2\-second end\-to\-end lag • Implemented AES encryption \(Scala\) for sensitive payment data in Realtime DataSync, enabling compliant data\-sharing with merchants • Owned data shares on Snowflake & Redshift for the DataSync product, optimizing transformation and synchronization for payment & transaction data • Integrated Celery workers behind an API to trigger metadata\-ingestion scripts, optimizing task scheduling under bursty load Tech: Scala, Python, Kafka \(MSK\), Debezium, Snowflake, Redshift, Airflow, Kubernetes, DataHub

SDE Intern\(Data Platform\) at Meesho, Mar 2024 \- Sep 2024 · 7 mos, Bangalore Urban, Karnataka, India, • Designed and shipped a Data Cataloging service automating metadata ingestion to DataHub — eliminated manual lineage publishing entirely • Built APIs serving upstream/downstream lineage at column\- and dataset\-level from DataHub, used by data engineers across teams • Developed a SQLGlot\-based parser to extract partition filters, tables, and columns from real\-time SQL queries • Shipped FailFast instrumentation that aborts inefficient queries pre\-execution by analyzing partition data — reduced server load by 40% • Built a Trino event\-listener ETL on PySpark to surface user query\-access patterns from Metabase & Zeppelin — cut analyst investigation time by 25% • Drove IPO\-readiness data\-security work: configured governance groups to lock down access to confidential columns • Built a Text\-to\-SQL service \(FastAPI \+ LangChain\) letting business analysts query L0 metrics from Slack Tech: Python, PySpark, Trino, FastAPI, LangChain, DataHub, SQLGlot

Data Science Intern at GKM IT, Jan 2024 \- Mar 2024 · 3 mos, Udaipur, Rajasthan, India, \- Led the implementation of an ETL pipeline to organize and store food nutrient data from CSV files\. \- Developed Python scripts for scraping recipes to enrich the data repository\. \- Spearheaded the development of a ChatBot using Langchain technology, integrating OpenAI models for improved communication and efficiency within the team\. \- Utilized FAISS\-based embedding techniques for optimized data retrieval and analysis\. \- Leveraged SQL Toolkits and Agents from Langchain to enhance data processing capabilities\. \- Applied prompt engineering techniques to create effective prompts for various data\-related tasks and interactions\.

Software Engineer\(0\-\->1\) at Novaris\.Ai, May 2023 \- Oct 2023 · 6 mos, Remote, • Developed a stock price prediction app using OpenAI , achieving a 20% accuracy improvement \. • Enhanced security with Google OAuth2\.0 , reducing security incidents by 30% in 6 months \. • Deployed the app using AWS EC2, Route53, S3, CloudFront , improving page load times by 25% \. • Established a CI/CD pipeline using Github Actions & CodeDeploy , reducing deployment time by 50% \. • Implemented Jenkins automation jobs to swiftly revert failed deployments to minimize downtime\. Backend : Flask , Python Frontend : React\.Js

## Education

Bachelor of Technology, Computer Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur

12th, PCM, MDS Sr\. Sec\. School

## Public links

- github: https://github\.com/gjboxer

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

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