Hi, I’m Snigdh Sharma.
I build the applications and data platforms that help people do better work. From a clean interface to the cloud infrastructure behind it.
Enterprise applications, purposeful automation,
and the systems that make them work.
Architected a high-availability financial ledger system featuring multi-tier approval workflows, automated escalation chains, and intelligent reminder notifications — streamlining compliance for enterprise-scale financial operations.
Engineered an end-to-end legal document generation platform with dynamic billing templates, integrated digital signature workflows, and automated client distribution — reducing document turnaround from days to minutes.
Designed a sophisticated Azure Entra ID role delegation framework enabling subscription-level resource management through on-behalf-of authentication, dynamic workflow orchestration, and self-service provisioning capabilities.
Good software starts with understanding the problem.
Software professional with 3+ years of experience designing and delivering enterprise-grade applications across the full stack. From architecting scalable cloud-native platforms on Azure to engineering intuitive front-end experiences, I bring ideas to life with clean code and purposeful design. Passionate about solving complex problems at the intersection of data, cloud, and modern web technologies.
Today, as a Data Analyst at Optum Global Solutions, I work at the intersection of healthcare data, cloud platforms, and business decisions.
Honours — IoT Specialization
Seven synthetic scenarios. Four authorization controls. See what changes when an agent requests the wrong data or an unapproved action.
Optum Global Solutions
Optum Global Solutions
Optum Global Solutions
Optum Global Solutions
Across the stack, from interface
to infrastructure.
Architecting scalable, cloud-native data platforms on Azure — from Databricks lakehouses to automated ETL pipelines — that turn raw data into a reliable, governed asset for the business.
Translating messy operational data into clear KPIs, dashboards, and self-service analytics that help leaders make faster, evidence-based decisions instead of relying on gut feel.
Designing and shipping enterprise-grade web applications end to end — secure authentication, clean APIs, and intuitive front-ends — built to scale with the organisation.
Removing manual toil with background jobs, notification systems, and orchestrated workflows — cutting process turnaround from days to minutes while improving auditability.
Notes on data, technology,
and making useful things.
A small open-source experiment comparing unchecked tool execution with tenant ownership, tool scope, exact approval, and identity checks. Includes an interactive lab and executable tests.
A practical release checklist for agents that query enterprise data or call business APIs, with a worked example and explicit failure tests.
How to define freshness, completeness, and failure handling before a dataset feeds a dashboard or AI assistant. Includes a small SQL validation example.
A snapshot of the technologies and business themes I am actively exploring, betting on, or keeping an eye on right now.
Databricks & Delta Lake · Azure Entra ID · Next.js · .NET 8
LLM-assisted analytics · dbt-style modeling · Retrieval-augmented apps
AI agents for ops · Data contracts · Vector databases · FinOps tooling
Healthcare data interoperability · Self-service decision intelligence · AI governance & trust
Have a project in mind, a role to discuss, or just want to talk tech? Grab a virtual coffee with me ☕