Srinivas R.

Srinivas R.

ETL/ELT Developer,Informatica Power Center,Oracle Data Integrator,Hadoop,Hive,Sqoop,Spark and Python

, India

Experience: 8 Years

Srinivas

ETL/ELT Developer,Informatica Power Center,Oracle Data Integrator,Hadoop,Hive,Sqoop,Spark and Python

13714.3 USD / Year

  • Immediate: Available

8 Years

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About Me

I am  having 8+ years of experience in ETL/ELT Developer,Informatica Power Center,Oracle Data Integrator,Hadoop,Hive,Sqoop,Spark and Python

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Portfolio Projects

Description

The Pacific Gas and Electric Company (PG&E) is an American investor-owned utility (IOU) with publicly traded stock that is headquartered in the Pacific Gas & Electric Building in San Francisco, California, United States. PG&E provides natural gas and electricity to most of the northern two-thirds of California. This CRCR is Customer care and billing report system.

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Description

McDonald's is an American fast food company, founded in 1940 as a restaurant operated by Richard and Maurice McDonald, in San Bernardino, California, United States. They rechristened their business as a hamburger stand, and later turned the company into a franchise, with the Golden Arches logo being introduced in 1953 at a location in Phoenix, Arizona.

As part of the project, Depreciation will be calculated for next 12 months at asset level at EBS side and we need to load this data to Data warehouse tables to access Hyperion application.

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Description

Millennium/Takeda is one of the world’s leading biotechnology companies. The aim of the Data Management Flat form (DMF) to load the Prescriber/Patient/Drug Information in the EDW (Enterprise Data Warehouse). The EDW is loaded with all the Drugs Information’s manufactured by the Takeda and as well as the Competitor Drugs. It enables the user to compare its Product’s with the competitor’s in the Market.

The Reports are created using Tableau on the EDW Layer to analyze the performance on different dimensions Prescriber/Patient/Payer/Drug. This project is all about extracting and cleansing the data about the drug Ninlaro which is market by various Specialty pharmacies in US. This data will be sent to Millennium for their analysis regarding drug journey in the market.

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Description

OHF is next generation version of EHA platform wherein multiple components of EHA are unified along with major enhancements to individual components. All the components are integrated and deployed through Oracle Universal Installer. The administration tasks like creating database users, repositories, integration services, configuring supported files are all auto-mated to bring down installation time and provide a better experience to users.

Oracle Health Sciences Translational Research Center is a comprehensive platform that Normalizes, aggregates, controls, and analyzes all the diverse clinical and molecular data needed to support complete biomarker lifecycle. With Oracle Health Sciences Translational Research Center researchers have real-time access to internal proprietary data as well as external public data such as The Cancer Genome Atlas, simplifying analysis and increasing statistical Power. The comprehensive platform that enables secondary use of electronic health records and omics data to help accelerate biomarker identification for drug discovery, clinical development and translational medicine. Enables answering complex clinical and genomic research questions by combining clinical with cross-platform genomic data. Allows visualization of the data using both in-house business intelligence tools and via integration with genomic viewers developed by the research community.

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Description

Oracle Health Sciences Translational Research Center is a comprehensive platform that Normalizes, aggregates, controls, and analyzes all the diverse clinical and molecular data needed to support complete biomarker lifecycle. With Oracle Health Sciences Translational Research Center researchers have real-time access to internal proprietary data as well as external public data such as The Cancer Genome Atlas, simplifying analysis and increasing statistical Power. The comprehensive platform that enables secondary use of electronic health records and omics data to help accelerate biomarker identification for drug discovery, clinical development and translational medicine. Enables answering complex clinical and genomic research questions by combining clinical with cross-platform genomic data. Allows visualization of the data using both in-house business intelligence tools and via integration with genomic viewers developed by the research community.

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