Data Engineer
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Data/Analytics Engineer with experience delivering end-to-end data and reporting solutions. Own delivery from data ingestion and transformation through automated quality validation and stakeholder-ready reporting, while resolving real-world production issues and partnering cross-functionally to keep workflows reliable, scalable, and maintainable. Currently expanding into Agentic AI — actively learning agentic frameworks and building hands-on proof-of-concept solutions that explore AI-driven automation and intelligent workflow orchestration.
Currently working as a Software Engineer at MAQ Software, responsible for designing and developing enterprise data and analytics solutions using Microsoft Fabric, Python, PySpark, SQL, ADLS, and Power BI. My responsibilities include building end-to-end data pipelines, Dataflows Gen2, Fabric Pipelines, Semantic Models, and automated reporting solutions, along with data validation, production support, and root cause analysis. I also support the migration of Azure Databricks and Azure Data Factory workloads to Microsoft Fabric using Git and Azure DevOps.
Previously, as an Associate Software Engineer, I worked on C# and SQL-based reporting, Python automation, Power BI dashboards, and Azure Data Factory pipelines. My key achievement has been contributing to reliable, scalable analytics solutions and successful cloud data-platform modernization.
