Nithy Anand

Background

About Nithy Anand

As a seasoned Data & Database professional with over 20 years of experience, I have evolved from a strong foundation in SQL Server and Enterprise Database Administration into a Modern Azure Data Engineer with hands-on skills in Microsoft Fabric, ADF, PySpark, Delta Lake, OneLake, and Power BI. Over the past year, I have immersed myself in real-world, scenario-based projects to master the Microsoft data ecosystem. I’ve built end-to-end data pipelines using Azure Data Factory, transformed and curated data using PySpark and Fabric notebooks, and architected Lakehouse solutions using OneLake and Delta tables for scalable analytics. This transition is not a leap, but a natural evolution of my deep experience in: Data platform architecture and performance optimization Building reliable, governed, and modern data pipelines Supporting data analytics through robust modelling and integration Key Competencies: Microsoft Fabric & Azure Data Engineering (Lakehouse, OneLake, ADF, Delta Tables, Dataflow Gen2) ETL & Orchestration using ADF Pipelines and PySpark notebooks Data Warehousing & Modelling with Power BI integration Data Governance, access control, and metadata management Legacy-to-Modern Migration, leveraging 16+ years of DBA experience (SQL Server, Sybase ASE, SSIS) Having led critical database initiatives in Australia, PNG, and India, I now bring both legacy system insight and modern cloud data expertise to enable businesses in their data modernization journey. I’m open to opportunities where I can contribute as a Microsoft Fabric / Azure Data Engineer, while continuing to expand on real-world implementations that deliver immediate value. Mobile /Whatsapp