Hi, I am Prasad Seethinaseethina, a data engineer and ETL/BI consultant with extensive background in Data Engineering and ETL technologies. I have hands-on experience implementing Azure cloud solutions, data marts and data warehouses using Bill Inmon and Kimball methodologies. I have proven experience with ETL and BI tools, including designing extraction procedures from multiple source systems and implementing business rules to deliver BI front-end solutions such as reports and cubes. I have strong experience with SQL Server, Oracle, DB2, JSON, and Parquet, and broad exposure across Windows, Mainframe, and Unix platforms.
I have worked across government and enterprise environments, building data marts, EDW, preparing data quality checks, SCD Type 2, and migrations. I enjoy collaborating with business users to gather requirements, design scalable data pipelines, and mentor teams with knowledge transfer BAU support. I am comfortable working across cloud, on-premises, and hybrid environments and am always keen to adopt modern data platforms such as Azure Fabric, ADF, and Databricks to improve insight delivery.
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