
Strategic Technical Lead and Full Stack Architect with 15+ years of experience designing and evolving large-scale enterprise and data-driven systems. Proven expertise in modernizing legacy platforms into cloud-native, microservices-based architectures using .NET Core, Angular, and Microsoft Azure.
Currently leading multi-tenant, metadata-driven data platform initiatives for global financial organizations at Cognizant, operating within SAFe Agile environments. Strong ability to align business strategy with technical execution, transforming fragmented legacy systems into scalable, governed, and high-performance cloud ecosystems.
Deep experience in cloud data engineering and distributed system design using Azure services including Databricks, Data Lake, Service Bus, Functions, and Data Factory, with strong emphasis on Medallion Architecture. Skilled in SQL Server performance tuning, microservices design, and building resilient, event-driven architectures.
Recognized for delivering scalable enterprise platforms, improving system efficiency, and enabling secure, compliant, and high-availability solutions in regulated financial environments.
Responsibilities
• Lead the design and delivery of cloud-native, multi-tenant platforms on Azure, enabling scalable and secure data processing for enterprise clients.
• Translate business requirements into architecture, driving end-to-end solution design including backend services, data pipelines, and frontend applications.
• Architect and implement distributed systems using .NET Core, Angular, and Azure services (ADF, Service Bus, Databricks, ADLS).
• Drive legacy modernization initiatives by transforming monolithic and manual processes into automated, metadata-driven platforms.
• Establish data governance, security, and access control frameworks including RBAC, data classification, and auditability.
• Lead cross-functional teams in SAFe Agile, mentor engineers, and enforce best practices in Clean Architecture and system design.
• Collaborate with stakeholders, product owners, and business teams to align technical solutions with strategic objectives.
Projects:
B2B Data Onboarding & Validation Platform (Azure)
• Architected and developed an external-facing B2B data onboarding platform enabling secure partner registration, approval workflows, and role-based access using Azure Entra ID.
• Designed scalable backend services using .NET Core APIs and SQL Server to handle ingestion of large, schema-driven datasets (130+ metadata fields).
• Built a dynamic data validation engine supporting configurable rules for schema validation and data quality checks, significantly improving data accuracy and consistency.
• Enabled partners to upload Excel-based datasets, triggering automated validation workflows and reducing manual data processing efforts.
• Implemented metadata-driven architecture to support flexible onboarding of new partners and evolving data schemas.
• Integrated Azure Data Factory pipelines to orchestrate data movement and transformation workflows.
• Processed validated data through Azure Databricks (Unity Catalog), triggering batch jobs for aggregation and analytics aligned with business KPIs.
• Designed end-to-end data pipeline from ingestion → validation → transformation → publishing to downstream applications.
• Ensured data governance through structured schema management, auditability, and controlled data access patterns.
Multi-Tenant B2B Data Access & Collaboration Platform (Azure)
• Designed and implemented a micro-tenant architecture provisioning isolated environments for 80+ partners, ensuring scalability and secure data isolation.
• Built an external-facing platform with role-based access and approval workflows using Azure Entra ID.
• Automated provisioning of enterprise resources including SharePoint sites, ADLS storage, and Databricks catalogs/schemas using Microsoft Graph API and Databricks APIs.
• Reduced manual provisioning and user management effort by ~90% through API-driven automation and reusable infrastructure workflows.
• Implemented secure access control across systems:
- SharePoint via Microsoft Graph API
- Databricks user/group management via APIs
- Managed Identity for ADLS–Databricks integration
• Developed an event-driven file synchronization pipeline:
SharePoint Webhooks → Azure Event Grid → Azure Data Factory → ADLS
• Designed and enforced data classification–based access model (Public, Official Use Only, Confidential, Strictly Confidential).
• Enabled secure external uploads using short-lived SAS tokens for sensitive data.
• Established governed data flow from external ingestion → ADLS (~3TB data) → Databricks for downstream analytics.
• Reduced partner onboarding time from ~10 days to ~10 minutes by eliminating cross-team dependencies and introducing automation frameworks.
MS Teams App development using Dotnet MVC React App hosted in Azure
Lotus Notes to SharePoint Online Migration - SPFx Development
Responsibilities
Projects
SharePoint 2013 multilingual responsive Internet Website
SharePoint 2013 multilingual Intranet Portal
Projects
Sales Tools Optimization
Projects
Lotus Notus to SharePoint 2010 migration
Languages: C#, SQL, JavaScript
Backend: NET Core, REST APIs, Microservices
Frontend: Angular
Cloud: Azure (App Services, Functions, Service Bus, Data Factory, Data Lake, Databricks)
Data: SQL Server (Indexing, Query Optimization), Cosmos DB, Azure Databricks (Unity Catalog, Medallion Architecture)
Architecture: Distributed Systems, Event-Driven Design, Multi-Tenant Systems
Security & Identity: Azure Entra ID (RBAC, Authentication & Authorization), Managed Identity, SAS Token-based access control
English
Malayalam
Tamil
Hindi
Bengali