Kranthi V Email & Phone Number

• Above 9+ years of professional experience in IT, which includes work experience in Big Data, Hadoop ecosystem for data processing, Data Warehousing and Data Pipeline design and implementation. • Expertise in using Cloud based managed services for data warehousing (Azure Data Lake Storage, Azure Data Factory).• Experience in database design to create scalable, efficient, and robust systems for collecting, storing, and accessing large amounts of data.• Good understanding of cloud configuration in Amazon web services (AWS).• Extensive experience in using ER modeling tools such as Erwin and ER/Studio.• Excellent proficiency in Agile/Scrum and waterfall methodologies. • Proficient in data governance, Experience in Data Ingestion projects to inject data into Data Lake using multiple sources systems using Talend BigData. • Experience in working with creating ETL specification documents, & creating flowcharts, process workflows and data flow diagrams. • Experience in execution of Batch jobs through the data streams to SPARK Streaming. . • Worked on Cloud Environments and has experience in automating, configuring, and deploying instances on Cloud.• Extensive familiarity with PySpark, Python Pandas, NumPy, Scikit-learn, seaborn, and Matplotlib packages. • Excellent knowledge in Data Analysis, Data Validation, Data Cleansing, Data Verification and identifying data mismatch, data quality, metadata management, master data management. • Experience on Apache Hadoop ecosystem components like Sqoop, Spark, Hive, HBase.• Experience in integration of various data sources with multiple Relational Databases like SQL Server, Teradata, and Oracle. • In-depth knowledge of T-SQL, SSAS, SSRS, SSIS, OLAP, OLTP, BI suite.• Proficient in crafting SQL queries, PL/SQL Packages, Stored Procedures, Functions, Triggers, and optimizing query performance. Skilled in creating partitions, indexes, and aggregating tables to meet user requirements and reporting needs.• Solid knowledge of Data Marts, Operational Data Store, OLAP, Dimensional Data Modeling with Ralph Kimball Methodology (Star Schema Modeling, Snow-Flake Modeling for FACT and Dimensions Tables) using Analysis Services.• Followed best practices for Data visualization to effectively convey messages to the intended business audience.• Specialize in the healthcare sector, specifically in handling pharmacy claims data for various insurance payers including Medicare, Medicare Advantage, and Commercial insurance.

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  The University Of Texas At Arlington