Sanghi
Lead Software Developer | Big Data & Cloud Solutions | Technical Lead at S&P Global
- Role
- Lead Software Developer at S&P Global
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Sanghi
I am a technology professional with over 10 years of experience delivering scalable, high-performance software solutions across Finance, Energy, and Security Data domains. My expertise lies in Cloud Infrastructure, Big Data Engineering, Infrastructure as Code (Terraform), and.NET Full-Stack Development. Cloud & Infrastructure (AWS + Terraform):Experienced in building and managing cloud-native solutions using AWS services like EMR, EC2, Lambda, Step Functions, EKS, ECS, S3, VPC, IAM, and more. I specialize in writing reusable Terraform modules to automate infrastructure provisioning across environments, integrating with GitHub Actions for full CI/CD workflows. Big Data & Spark Ecosystem:Strong experience with Apache Spark (Scala), Databricks, and AWS EMR for building large-scale, distributed data pipelines. I’ve designed and optimized workflows handling hundreds of millions of records, focusing on partitioning, job tuning, memory management, and real-time aggregation pipelines. DevOps & Automation:Implemented robust CI/CD pipelines using GitHub Actions, integrating with Terraform, AWS CLI, and shell scripts for automated deployment of infrastructure, Spark jobs, Lambda functions, and container-based workloads.NET & Enterprise Development:Over a decade of experience with C#.NET Core, ASP.NET MVC, WPF, and SQL Server. Developed enterprise-grade APIs, desktop apps, and backend systems with a focus on clean architecture, scalability, and maintainability. Workflow Orchestration & Data Flow:Worked on Apache NiFi for complex data ingestion flows and used AWS Step Functions for serverless orchestration, including EMR cluster automation and notebook execution. Emerging Tech – OpenAI & Agentic Workflows:Actively exploring OpenAI’s Model Context Protocol (MCP) and agentic systems for integrating AI-powered automation into cloud-native environments.I focus on delivering highly available, cost-optimized, and performance-tuned systems, aligning engineering outcomes with business goals. With a strong foundation in both infrastructure and software development, I bring a balanced, end-to-end approach to solving technical challenges.
Experience
Lead Software Developer
Apr 2024 — Present · Gurugram, IN
I am a Lead Software Developer & Technical Lead at S&P Global, specializing in designing and architecting cloud-native, AI-driven, and Big Data solutions that power mission-critical Energy & Commodity datasets. With over a decade of experience, I focus on building intelligent, scalable systems that harness the combined strengths of AWS Cloud, OpenAI, and MCP Agentic frameworks. AWS & Cloud Architecture: Proven expertise in architecting end-to-end cloud solutions using AWS EMR, Lambda, Step Functions, CloudWatch, and S3, ensuring high scalability, reliability, and cost optimization. AI & MCP Agentic Systems: Innovating with OpenAI and Model Context Protocol (MCP) to build autonomous, agent-driven platforms that analyze logs, optimize operations, and enhance decision-making. Big Data Engineering: Designed and delivered a Big Data platform handling 120+ billion data points, leveraging Spark (Scala), EMR, and Postgres for large-scale analytics. Automation & Infrastructure as Code: Strong background in Terraform and Python scripting to automate infrastructure, streamline deployments, and reduce operational complexity. Modern Application Development: Skilled in.NET Core, microservices, Docker, and Kubernetes, building resilient, distributed systems optimized for the cloud.I am passionate about advancing Cloud, AI, and Agentic technologies to deliver the next generation of intelligent data platforms.
Education
IET ALWAR
Bachelor of Technology, Computer Software Engineering
2009 — 2013
Centre for Development of Advanced Computing (C-DAC)
Master's Degree, Algorithm Design for Complex problem and Mobile Application Development
2013 — 2014
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