Self-directed and driven technology professional with comprehensive accomplishments applying data analytics, data engineering, building ETL/ELT pipelines using Microsoft Azure to ensure success and achieve goals. Strong Reinsurance, healthcare and financial industry acumen.Inject analytical rigor, scalable data architecture and latest cutting edge technologies to continually improve and add value for cross functional business teams.SummaryPlanning and implementing the overall analytics and data engineering strategy also involved in designing and developing analytical projects designed to understand key business performances to improve the efficiency.• Involved in planning cut-over strategy and go-live planning.• Co-ordinating with Product owner to track and maintain JIRA items and log defects.• Utilize Azure DevOps and GitHub for automating the deployment of artifacts using CI/CD.• Perform validation and verify pipeline results at all testing phases which includes Functional testing, System Integration Testing,• Efficiently using tools and techniques to explore and discover new patterns, finding business solution, using predictive analysis to solve complex business issues.• User Acceptance testing, reconciliation testing and pre-production testing.Expertise:Microsoft Power BI | DAX | Microsoft Power Automate | Microsoft Azure Data Factory | Microsoft Azure Synapse | Python(Pandas & NumPy) | Microsoft SQL Server | Data Modelling | Data Analytics | Data Engineering | Business Intelligence | ETL(Extract, Transform & Load) | ELT(Extract, Load & Transform) | Data Visualisation | Requirement Analysis | Data Migration