Leena Nayak

With an overall experience of 13 years spread across technology migration of legacy systems to competitive business systems as per new tech stacks, I have ensured the products I worked, met adapt to newer datacenter and technology requirements.

I hereby declare that the above-mentioned information is true to the best of my knowledge and belief.

JPMORGAN

ALM is privileged access discovery tool that enables privileged account owner to monitor , manage and control privileged access accounts.Account details are collected by ALM on a weekly basic .We receive the data from different platforms like Xygate,Synscort, Active directory, Spohia, EPV  etc every week for detection of account controls.

Cognizant

Projcect-1

Test Data Management Humana is managed Health care Company that markets and administers health insurance in the United States. Humana Inc. is an American Louisville, Kentucky-based for-profit health insurance company. As of 2014 Humana has had over 13 million customers in the U.S, reported a 2013 revenue of US$41.3 billion, and has had over 52,000 employees. In 2013, the company ranked 73 on the Fortune 500 list, which made it the highest ranked (by revenues) company based in Kentucky. It has been the third largest health insurance in the nation. The U.S. Dept. of Health and Human Services investigated Humana in 2009 for sending flyers to MediCare recipients that the AARP characterized as deceptive. The company's managed care model has also been criticized for ethical lapses and limitations. The health insurer Aetna had acquired Humana for $37 billion. 

Projcect-2

CMDM (Campaign Management Data Mart) deal with pulling the claims, inbound/outbound responses, dispositions, preferences, and demographic info etc. data from multiple data sources like user files, EDW (Oracle) in to campaign database (Netezaa), where EMM (Enterprise Marketing Management) can use for creating reports and send to end users.

Tech Mahindra

Project-1

FDL is the collection and consolidation of nearly all available financial data related to GE activities. FDL makes this data available to the industries, business units and corporate management to support internal and external operative reporting just as ad-hoc and advanced analytics.

We integrate data from several heterogeneous sources like Oracle, Teradata, and Flat-files etc. into a centralized Greenplum database using ETL tool like Talend Studio.

Project-2

GE aviation, a subsidiary of General Electric, is headquartered in Evansdale, Ohio (a Cincinnati suburb).GE Aviation is the top supplier of aircraft engines in the world and offers engines for the majority of commercial aircraft.GE Aviation is part of GE Technology infrastructure, itself a major part of the conglomerate General Electric, one of the world’s largest Corporations.

System Engineering DWH application is responsible to get financial data as flat file source from corporate system and loading into GE Aviation data warehouse. Financial data like Invoice, Payment, Requisition, Purchase, Supplier, Receipt etc. Source file is having both header and details level information with having identification of Rec type and also coming from different vendor and organization. System Engineering DWH application splitting the record based on rec type. 

Project-3

GE Aviation, a subsidiary of General Electric, is headquartered in Evansdale, Ohio (a Cincinnati suburb). GE Aviation is the top supplier of aircraft engines in the world and offers engines for the majority of commercial aircraft. GE Aviation is part of GE Technology Infrastructure, itself a major part of the conglomerate General Electric, one of the world's largest corporations.

Pulling Best-Version-of-Truth Master data (Like Customers, Part, Product, Engine Hierarchy, ESN, Contracts etc.) from MDM, EBOM and ADW for different sources and loading to CSA DATA, where downstream application team can access the master data from single system.

Project-4 

CSAi: The primary objective of the CSAi dashboard is to provide BI capabilities to a wide range of GE Aviation personnel. These are complex and robust BI applications that will provide a great degree of development flexibility. Most importantly, the CSAi dashboard will bring high visibility about the state of the business to a wide array of users.

The CSA Intelligence dashboard will automate the delivery of shop visit results to operational and shops leads and upper management. They will be used to track the ongoing health of CSA contract performance in an effort to understand the impact on operating margin and identify those variables which can be brought to bear for cost migration and target modeling accuracy.