raw_events · unformatted, unfiltered, unmistakably me · Colombo, Sri Lanka
Engineering data for better decisions.
I'm Ruwan Pathirana, a cloud data engineer with experience designing, supporting, and optimizing analytics solutions on Microsoft Fabric and Azure. I enjoy solving data challenges and building scalable pipelines that deliver trusted insights.
I started in data on the reporting side building dashboards that business teams actually depend on and gradually moved upstream as I became more involved in understanding and fixing data issues closer to the source.
Today I work as an Associate Consultant in Data & AI, where I split my time between developing Power BI solutions and supporting Azure-based data platforms for enterprise clients across multiple regions. The role combines building, maintaining, and troubleshooting production data systems to keep analytics reliable and trusted.
Outside of client work, I explore machine learning and generative AI to deepen my understanding of how end-to-end data and AI systems behave in real scenarios.
- Design and optimize Power BI semantic models, dashboards, and reports that enable data-driven business decisions.
- Build, maintain and troubleshoot enterprise data pipelines across Microsoft Fabric, Azure Data Factory and Azure Databricks.
- Provide managed services for Azure-based analytics platforms, investigating production issues, performing root cause analysis and delivering long-term solutions for global enterprise clients.
- Support and enhance analytics solutions built on Microsoft Fabric ensuring reliable data integration, transformation, and reporting performance.
- Maintain and support Infor BI ERP analytics solutions, collaborating directly with customers to resolve technical issues and improve reporting capabilities.
- Engineered end-to-end Azure ETL pipelines using Azure Data Factory, Databricks, and Azure Synapse to transform and integrate enterprise data.
- Designed interactive analytics dashboards in Power BI, Tableau, and D3.js for banking and financial reporting.
- Developed AI-powered document processing solutions with Document Classification and OCR, including optimization of an eKYC OCR engine recognized as the AI Technology of the Year 2024 at National ICT Awards.
- Built machine learning pipelines for loan default prediction and credit card payment risk analysis, exposing models through FastAPI.
- Created intelligent chatbots using modern NLP techniques for business information retrieval and database interaction.
- Provided customer service by assisting clients with banking inquiries and day-to-day financial services.
- Developed strong communication and customer relationship skills through direct customer interactions.
- Supported loan processing activities and gained hands-on experience with banking operations.
- Built a solid understanding of the banking and fintech industry, including core financial products and workflows.
- Collaborated with branch staff to ensure efficient service delivery and maintain operational accuracy.
Open to new opportunities, Microsoft Fabric and Power BI projects, and conversations about data engineering, analytics, and AI. Feel free to reach out.
"email": rpathirana836@gmail.com,
"linkedin": in/ruwanpathirana,
"github": github/ruwanpathirana,
"location": Colombo, Sri Lanka
}