---
title: "Muskan Budhiraja - Senior Software Engineer in India | Tal"
description: "Meet Muskan Budhiraja, Senior Backend & Cloud Engineer | Python, C#/.NET, Azure | Scalable Microservices & Distributed Systems | Cloud-Native, LLM/GenAI | Tech Lead (5+ yrs) based in India. AI stack includes claude code, github copilot, and langchain."
image: "https://tal.club/meet/muskan-budhiraja/share-image"
---

# Muskan Budhiraja on Tal

## Headline

Senior Backend & Cloud Engineer \| Python, C\#/\.NET, Azure \| Scalable Microservices & Distributed Systems \| Cloud\-Native, LLM/GenAI \| Tech Lead \(5\+ yrs\)

## About

Senior Backend & Cloud Engineer with 5\+ years designing and building scalable microservices, data pipelines, and AI/GenAI platforms on Azure, Kubernetes, FastAPI, Python/\.NET\. I specialize in cloud\-native systems that turn complex business challenges into high\-impact solutions across pharma, energy, and retail\. Recently, I led the Eli Lilly AI analytics platform, automating media and competitive reporting via scalable pipelines \(ADF/Databricks\), REST APIs, LLM insights, and Graph RAG—slashing turnaround from 30 days to near real\-time, enabling data\-driven decision\-making and optimization\. Led 5–6 engineers on technical design, code reviews, and stakeholder alignment to deliver business\-aligned solutions\. Core Expertise: • Microservices / Distributed Systems \(Azure APIM, Service Bus, Terraform, Scalable Systems, High Availability\) • Data Engineering & Analytics \(ADLS, Synapse, Spark SQL, pgvector\) • AI/GenAI / LLM \(Semantic Search, Prompt Engineering, Vector DBs\) • Observability & CI/CD \(Application Insights, Grafana, Azure DevOps\) • Technical Leadership, Mentoring & Team Management Open to Senior/Lead Backend Engineer roles driving architecture, scalability, and AI innovation\.

## Location

India

## AI stack

claude code

github copilot

langchain

langgraph

openai

## Work experience

Senior Software Engineer at Publicis Sapient, Jan 2024 \- Present · 2 yrs 10 mos, Eli Lilly, Pharmaceutical \- Led a team of 5–6 engineers to design and deliver an AI\-driven analytics platform, automating media spend and competitive reporting using Azure, Databricks, FastAPI, Python, and LLM insights\. \- Reduced reporting turnaround from 30 days to near real\-time, enabling faster, data\-driven decision\-making\. \- Architected scalable data pipelines ingesting daily/weekly data from 5\+ external sources, ensuring reliability, quality, and performance\. \- Built microservices\-based backend APIs to orchestrate analytics workflows and deliver near real\-time insights\. \- Integrated Graph RAG and vector databases \(pgvector\) for contextual querying and AI\-driven insights\. \- Developed dashboards and exportable reports for stakeholders, enhancing visibility and business decision\-making\. \- Mentored engineers, drove technical design decisions, and collaborated with product owners and analysts\. Key Project: Internal AI Toolkit – Implemented semantic search using embeddings and vector indexing for context\-aware search across large datasets\. ASDA, Retail \- Designed and developed C\#/\.NET REST APIs using Azure Functions for seamless integration across retail components\. \- Implemented centralized API governance and security via Azure APIM, reducing vulnerabilities by \~30%\. \- Built event\-driven integrations using Azure Service Bus with publish/subscribe and request\-reply patterns\. \- Contributed to highly available cloud architecture with Azure Front Door, Application Gateway, and WAF\. \- Established centralized observability via Application Insights and New Relic dashboards\. \- Implemented Infrastructure as Code using Terraform, improving deployment scalability and reproducibility\.

Software Engineer at Publicis Sapient, Apr 2022 \- Dec 2023 · 1 yr 9 mos, Chevron, Credit Automation \- Designed and developed a centralized data solution ingesting 50\+ GB and 300\+ documents for analytics\. \- Built end\-to\-end ETL pipelines from extraction to ADLS using Databricks and Spark SQL\. \- Modeled and stored 4TB\+ structured and unstructured data for analytics and compute use cases\. \- Migrated critical BizTalk interfaces and data jobs to Azure Data Factory, processing daily million\-dollar transactions\. \- Optimized ETL pipelines, Logic Apps, dataflows, and SQL queries to improve performance and reliability\. \- Implemented disaster recovery solutions for Azure SQL DB to ensure high availability and minimize downtime\.

Associate Software Engineer at Publicis Sapient, Sep 2020 \- Apr 2022 · 1 yr 8 mos, Chevron Supply Chain Management \(CSCM\) \- Migrated legacy data platform to a cloud\-based solution, improving efficiency, profitability, and data availability for collaboration and decision\-making\. \- Delivered 200\+ ELT/ETL jobs, semantic objects, and critical business reports, resolving QA and performance issues within project timelines\. \- Optimized pipelines, dataflows, stored procedures, and SQL queries for mission\-critical workflows\. \- Migrated complex stored procedures from on\-premises databases to Azure Synapse, improving performance and reliability\. \- Worked with Azure Databricks, Data Factory, Synapse, Teradata, DevOps, and Power BI, quickly adapting to the required tech stack\.

Summer Internship at ISRO \- Indian Space Research Organization, Jun 2019 \- Jul 2019 · 2 mos, Built RNN model for satellite image classification, with GUI to read BIL images\.

## Education

Bachelor of Technology, Electronics and Communications Engineering, Dr\. B\. R\. Ambedkar National Institute of Technology \(NIT\), Jalandhar

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

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