Chandra Kumar Mani

About Chandra Kumar Mani

Enterprise cloud solution Architect in a wide variety of business applications. Particularly interested in Solution and technical architect, design, build, deployment and maintenance.Over 22+ years of experience in technology strategy, architecture and design of technology solutions.To developing knowledge in Architecture principles, practices, Quality of services, Azure Open AI services, API, Data architect and cloud platform.• Architecture – principles and practices• Architecture QOS • Microservices, API • Data Architecture• Knowledge Graph• Architecting multi-channel platform - Web, Mobile, and Desktop • Enterprise cloud Integration Solutions• Architecting Cloud Applications - Azure cloud platform• Azure Open AI and Copilot• Domain knowledge: BFSI – Investment and Banking, Information Systems, Energy Utility and Healthcare RCMHaving good knowledge in the below technology’s specialization with good hands-on experience. • Azure cloud PaaS, IaaS, Azure Open AI Services, Azure AI services, Security Technologies concept in Azure, Networking concept in Azure, Solution architect and designing in azure cloud, Azure Data platform architect• API, Microservices full stack development - Implementing Microservices using Java/SpingCloud /.Net Core with Service fabric • Azure Data platform Architecture- Azure synapse analytics and azure databricks, ADLS, ADF.• Knowledge Graph Architecture• Azure Integration services - Logic app, service bus, azure function, Event hub, Event grid• Data Streaming – Azure Event Hub, Azure Stream Analytics, Azure Function etc. • Prometheus• Docker• Kubernetes with any cloud platform like AKS etc. • OOPS concept• C# and Java• Net Core Web API• Azure DevOps Knowledge • Microsoft Entra ID, Azure AD B2B, Azure B2C (user flow - Sign in, change password, policy etc) and MFA• Azure Load balancer - Front door, Application gateway, traffic manager, Load balancer• Azure Kubernetes Services, Azure App service, Serverless Architecture• API Management, Azure DNS, CDN, Private link, private endpoint, Azure Key valut, App insights etc• Azure monitor, Azure App configuration, Azure Open AI services, Azure AI search, Azure Cognitive • services (OCR), VNet, subnet, public and private endpoints, NSG and ASG, • Azure Database services• Azure storage services: blob storage, ADLS• Azure Security - Azure monitor, SSL certificate (wildcard, Custom domain), Web application • firewall, Firewall, Data Encrypt at rest, Data masking, NSG, API gateway, JWT, RBAC, policy, • Microsoft defender, and many more

Experience

1. Enterprise Solution Architect - Azure Cloud-gen Ai - Data Architect, Azure Devops, Microservices

   Tata Consultancy Services

   Dec 2022 — Present · Bengaluru, IN

   BFSI Alternative Investment Management provides public fixed income, private capital, and real estate investment solutions to institutional investors worldwide. Focused on managing Public Fixed Income, Private Capital and Real Estate assets, Alternative Investment cloud data integration to vision, build and support the data integration and data engineering capabilities of investments that enable the organization to manage, organize, and share data, utilizing azure cloud native technology and practices Developed Blazor server/ web assembly application and Middle tier as microservice and hosted on Azure Cloud in Azure App Service and Microservices on AKS. Handled multiple sources of data as upstream Using azure event hub, API, and ADF and store to Repository Investment Data lake platform and Consumer can subscribe data from Invest,emt Data platform with data bricks notebook is a set of python code that reads the data from the Investmetn Data Repository to construct a materialized view Enabled automate functional test script using Spec flow and Rest sharp platform in Azure DevOps Implemented data bricks unity catalog analysis in data bricks cluster workspace to maintain governance of investment data’s. Centralize app configuration helps manage application settings and control their access centrally. Implemented Gen AI use case for MetLife investment using Azure Open AI services such as text – GPT 4 & 3.5, DALL-E for image, Whisper for audio etc.• Azure Cloud Services, Azure Open AI Service ( GPT, DALL-E, Whisper etc), Azure Databricks with PySpark, ADLS, Azure Event Hub, Azure Data Factory, AKS, Azure App Service, Azure App Configuration.Net 7 Web API Microservice, GitHub, Git, DevOps – Azure DevOps, Azure Cosmos, Azure function, React, Typescript, HTML, CSS, Sass, SQL Server 2016, C#.Net 6 /7/8, Blazor Server / Web Assembly, API. APIM• Visual Studio Code, Eclipse, STS, Visual Studio IDE, Azure Open AI Studio

Education

• Rama Kirshna Higher sec school - Tirupathur

  Higher secondary school

• Bharathidasan University

  M.C.A.,, Master of computer applications

• Sacred Heart College -Tirupathur -Vellore - Tamil Nadu

  B.Sc, Physics

Skills

• Program Development
• Team Building
• Vb.net
• Visual Studio
• Project Delivery
• Javascript
• C#
• Asp.net Mvc
• Troubleshooting
• Wcf
• Problem Solving
• Enterprise Architecture
• Microsoft Technologies
• Software Development
• Biztalk Server
• Xml
• Microsoft Sql Server
• Mobile Applications
• Asp.net