Narase Gowda Kumbaiah
@narasegowdakumbaiah
Software and Data Engineer specializing in Azure data platforms, PySpark pipelines, and scalable C#/.NET backend systems.
What I'm looking for
I’m a Software and Data Engineer with 8+ years of experience spanning data engineering, cloud data platforms, and backend software development in C# and .NET. I build Azure-first solutions using PySpark and Medallion Architecture (Bronze/Silver/Gold) with hands-on expertise in Azure Databricks, Azure Data Factory, and Azure Fabric.
I design reliable data transformations and ingestion workflows across structured and unstructured formats (CSV, JSON, Parquet, XML), while applying data modelling and dimensional modelling to improve analytics and querying. I also support foundational data science—feature engineering and basic predictive modelling with Python (Pandas, NumPy, Scikit-learn)—and maintain production-ready C#, ASP.NET MVC, Blazor, and REST APIs with strong testing, monitoring, and CI/CD in Azure DevOps.
Experience
Work history, roles, and key accomplishments
Software Developer & Data Engineer
WPS Management GmbH
Feb 2022 - May 2025 (3 years 3 months)
Designed and implemented PySpark data transformation pipelines using Medallion Architecture and leveraged Azure Fabric for unified data and analytics workloads. Built Azure Data Factory ingestion/integration pipelines, supported data quality and reliability, and developed backend services in C#/.NET with REST APIs alongside Power BI reporting.
Student Trainee Data Engineer
Quipu GmbH
Dec 2020 - Dec 2021 (1 year)
Built Power BI dashboards for internal banking KPI reporting and automated recurring data extraction and transformation tasks using Python and SQL. Contributed to CI/CD pipelines with Azure DevOps and Git and supported .NET backend features and Angular frontend components in an Agile Scrum environment.
Senior Data & Software Engineer
Mindtree Ltd
May 2018 - Jan 2020 (1 year 8 months)
Implemented end-to-end Medallion Architecture on Azure Databricks using PySpark to support structured ingestion, transformation, and analytics/ML serving. Built and orchestrated Azure Data Factory pipelines across structured and unstructured sources, designed Azure Data Lake solutions with dimensional modelling, and supported ML model training pipelines with Scikit-learn basics.
Associate Application & Data
DXC Technology
Sep 2015 - May 2018 (2 years 8 months)
Developed SQL-based reporting tools, dashboards, and scheduled data jobs to deliver consistent, accurate enterprise reporting for business stakeholders. Built and maintained enterprise web applications and backend APIs using C#, ASP.NET, and SQL Server while supporting continuous improvements to data and application components.
Education
Degrees, certifications, and relevant coursework
Universität Paderborn
Master of Science in Computer Science, Computer Science
2020 - 2024
Master of Science in Computer Science at Universität Paderborn from 2020 to 2024.
Acharya Institute of Technology
Bachelor of Engineering in Computer Science, Computer Science
2011 - 2015
Bachelor of Engineering in Computer Science at Acharya Institute of Technology from 2011 to 2015.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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