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Azure Data Engineering Complete Tutorial

Azure Data Engineering with Databricks: Course & Projects
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About me

• Proven expertise in working across functions with agile teams on Big Data Engineering Project and building data pipelines in cloud technologies. • Designed and Enforced Data governance across all functions that ensured proper documentation of Data assets and enabled value creation. • Proficient in Erwin, tableau, Power BI, tableau server administration, tableau server, and Power BI administration, Big Data tools, Python, Jupyter • Possess an understanding of HIS, Patient Portal, Physicians Portal, EMR, and EHR. • Created Tableau data sources from various databases. Skilled in ETL processes and worked on data extracting, cleansing/integration, and loading from multiple data sources using Hadoop, Spark. • Facilitated significant data migrations, transfers using utilities as Data Transformation Services (DTS), SSIS, Bulk Copy Program (BCP), and Bulk Insert, Hadoop, Spark. • Have good experience in big data tools like Hadoop, Spark, Scala, Hive, Pig, MySQL. Having good experience in exploring, debugging data quality issues and defining data quality rules across complex data pipelines. • Have good experience in Linear Regression and Clustering algorithm’s using Pandas, Numpy, Scikit Learn, Matplotlib Libraries. • Have good experience in ETL jobs, Data ingestions and data streaming using Spark. • Well versed with data modelling techniques: Start Schema, Snow-Flake. Developed dashboards using Tableau and Power BI. • Proven experience in T-SQL and query optimization, SQL Server, SSIS, SSRS, and SSAS, tableau, Power BI, Python, Pig, Hive. • Worked with a multi-valued source (Universe DB), and sources as Excel, Oracle, MySQL, DB2, Flat Files, XML, JSON, Unstructured Data, Notes. • Have experience in integrating data from multiple source systems, creating data pipeline and use analytics power to uncover hidden relationships from vast amounts of data, focusing on agility, cost, and quality to deliver measurable business value. • I am proficient in directing a robust and strategic data governance program against the background of changing risk and regulatory landscape. • I am adept at leveraging data science techniques to optimize investments, expand advanced technologies across businesses, and scale opportunities as they occur.