About Me.
I’m Deepika Muniasamy, a Finance & Analytics professional with over 4+ years of experience across banking, finance operations, and data analytics. With a background in engineering and a postgraduate specialization in finance and analytics, I focus on creating data systems that are reliable, well-structured, and ready for downstream analytics.
My work centers on building reliable, scalable data solutions using Microsoft Fabric, SQL, Power BI and PySpark, where I design Lakehouse architectures and data pipelines that transform raw data into trusted analytical assets.
What I Do
I build end-to-end data engineering solutions using Microsoft Fabric, including:
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Designing Lakehouse architectures using Bronze, Silver, and Gold layers
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Developing incremental and batch data pipelines using Fabric pipelines and notebooks
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Transforming and optimizing data with PySpark and SQL
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Modeling analytics-ready datasets for Power BI and downstream consumption
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Implementing data quality checks and monitoring to ensure reliable pipelines
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Optimizing data workflows for performance and cost efficiency
