Solid understanding of SDLC, ETL, Data Warehouse, Data Vault 2.0, Data Mart, Data Integration, Data Cleansing, Containerized (Microservices) Architecture and DevOps.
Highly Experience of ETL process/pipelines to synthesize large sets of data from multiple sources.
Experience of Relational Database Modeling, Dimensional Modeling and Data Vault 2.0 Modeling concepts.
Experience in the design and development of cloud-native containerized application that uses Web APIs, MVC, Kubernetes orchestration and Docker.
Extensive experience to analyse the requirement to determine the complexity and to identify data gaps.
Experience of CI/CD & Proven analysis, problem solving, and troubleshooting expertise on both containerized and traditional application/system.
Knowledge about Modern Data Warehouse concept.
Experience working with multiple Azure Subscriptions and Tenants.
Exposure to Azure Virtual Networks (VNET), subnets and security policies.
Experience with Agile development and Project Management including gather user's requirements, task prioritization, planning, time management and development/design.
Unit, Integration, User Acceptance and Automated Regression Testing.
.Net, T-SQL, Powershell, Pester, NewMan/PostMan, JSON, XML
Azure Services: DevOps, Kubernetes Service, Key Vault, Cosmos DB (SQL API), Azure SQL, Application Insights, Container Registry, Data Factory, App Services, Azure CLI, Log Analytics, Acitve Directory, Service Bus, Storage Account (Blob, File), API Management Services, VNET
Business Intelligence Tools: SQL Server Integration Services, SQL Server Analytical Services, SQL Server Reporting Services
DevOps: Azure DevOps, GitHub, Git, YAML
Web API Development
Database Development
Cloud Development
Data Engineering
DevOps
Software Architecture
Microservices Architecture
Distributed System Architecture
Cloud Architecture
MSc in Business Information Systems
Bachelors in Computer Engineering