Senior Data Engineer at Accenture, with a strong focus on MS Fabric and data architecture. Successfully led teams in the creation of innovative solutions, including a comprehensive examination module, and a customer data hub. Expertise in ETL processes and project management, ensuring exceptional data quality and governance. Committed to driving efficiency and innovation within application development.
Role: Data Architect
Project Objective: Migration solution to modern architecture using Microsoft Fabric
Responsibilities:
Technologies Used:
Microsoft Fabric, Lakehouse, Notebooks, Data Pipelines, PySpark, SQL, Power BI, Medallion Architecture, Event Stream
Role: Azure Data Engineer
Project Objective: Modernization of the existing data platform
Responsibilities:
Technologies Used: Azure Data Factory, Azure Event Stream, Event House, KQL, Lake House.
ICATRole: Azure Data Engineer
Project Objective: Design and implement a centralized data warehouse serving multiple systems
Responsibilities:
Technologies Used:
Microsoft Fabric, Lakehouse, Azure Databricks, Event Streams, SQL, Power BI, Dataflows
Role: Technical Lead
Duration: Jan 2017 – Dec 2017
Project Objective: Development of a mortgage banking application for a UK-based client
Responsibilities:
Technologies Used:
.NET, C#, ASP.NET MVC, SQL Server, JavaScript, HTML/CSS, Agile (Scrum), TFS (Team Foundation Server)
Role: Technical Lead,
Client: Indian client,
Project Objective: Development of a GST-compliant application with IGST-to-SGST handling logic.
Responsibilities:
Technologies Used:
.NET, C#, ASP.NET MVC/Web API, SQL Server, GST Logic Layer, Agile Methodology
Role: Senior Developer / Individual Contributor
Project Objective: Application development for vehicle support services including cloud connectivity for failure scenarios
Responsibilities:
Technologies Used:
C#.NET, ASP.NET, SQL Server, REST APIs, POSTMAN, JIRA, Agile (Scrum)