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