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Asha Uday Patki

from Phoenix, AZ
Age ~67
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Also known as:
Asha U Patki, Asha H Patki, Asha V Patki, Asha Y Patki, Asha L Patki, Uday D Patki, Vday D Patki, Uday I, Asha Patui
Phone and address:
742 Tierra Buena Ln, Phoenix, AZ 85023
(602) 942-9558
Related to:
Manali G Kasbekar, 46Jinita KasbekarVinita Kasbekar, 69Shantharam Nekkanti, 50
Connected to:
Sandeep A Patki, 42Shrishail A Patki, 43Swati S Patki, 35James D Patkin, 81Randall Patkin, 66Annette Patko, 50Carrie M Patko, 89Michael J Patkoske, 87James A Patla, 48John A Patla, 67

Asha Patki Phones & Addresses

  • 742 Tierra Buena Ln, Phoenix, AZ 85023 (602) 942-9558 (602) 942-1480
  • 742 W Tierra Buena Ln, Phoenix, AZ 85023 (602) 999-1014

Work

Company: General motors Jun 1, 2014 Position: Senior solutions architect

Education

Degree: Bachelor of Engineering, Bachelors School / High School: University of Mumbai 1974 to 1978 Specialities: Engineering

Skills

Solutions • Solutions Architect • Motors

Emails

a***[email protected]

Industries

Information Services

Resumes

Resumes

Asha Patki Photo 1

Senior Solutions Architect

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Location:
Phoenix, AZ
Industry:
Information Services
Work:
General Motors
Senior Solutions Architect
Ibm Jun 2013 - May 2014
Executive Architect, Bao , Global Business Services
Infosys Feb 2004 - May 2013
Associate Vice President , Consulting and Systems Integration
Avnet 2002 - 2004
Data Warehouse Architect
Apex Business Systems 1997 - 2002
President
Education:
University of Mumbai 1974 - 1978
Bachelor of Engineering, Bachelors, Engineering
Skills:
Solutions
Solutions Architect
Motors

Business Records

Name / Title
Company / Classification
Phones & Addresses
Asha Patki
President/ceo
APEX BUSINESS SYSTEMS INC
742 W Tierra Buena Ln, Phoenix, AZ 85023

Publications

Us Patents

Methods For Managing Data Intake And Devices Thereof

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US Patent:
20130246376, Sep 19, 2013
Filed:
Mar 16, 2012
Appl. No.:
13/422910
Inventors:
Rajan Padmanabhan - Chennai, IN
Asha Uday Patki - Phoenix AZ, US
Girish Shantharama - Mangalore, IN
Assignee:
INFOSYS LIMITED - Bangalore
International Classification:
G06F 17/30
US Classification:
707694, 707E17005
Abstract:
This technology defines one or more of initial validation rules, one or more source to target mapping instructions, one or more data filtering rules, one or more data validation rules, one or more data transformation rules, and one or more file definition rules. The initial validations are performed on one or more source files based on the initial validation rules. The initially validated source files are mapped into a staging database based on the source to target mapping instructions. The data filtering rules are applied to the mapped source files in the staging database. Validation and transformation are performed on each of the successfully filtered source files based on the data validation rules and the data transformation rules. The validated and transformed source files are loaded into a core database. One or more load ready files are generated from the loaded source files based on the target file generation filtering rules.

Automated Data Warehouse Migration

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US Patent:
20120265726, Oct 18, 2012
Filed:
Apr 18, 2011
Appl. No.:
13/088556
Inventors:
Rajan Padmanabhan - Phoenix AZ, US
Asha Uday Patki - Phoenix AZ, US
Assignee:
Infosys Limited - Bangalore
International Classification:
G06F 17/30
US Classification:
707602, 707E17005
Abstract:
Systems, apparatus, computer-readable storage media, and methods are disclosed for allowing analysis, migration, and validation of data from a source environment (such as an RDBMS system) to a target environment (such as a data warehouse (DW) appliance). In one example, a method comprises analyzing a source database, a source ETL environment, a target database, and a target ETL environment to produce configuration data, the configuration data being used for generating a mapping of the source database to a target database in the target database environment, a mapping of the source DDL code to target DDL code in the target database environment, and a mapping of source ETL code to target ETL code for the target database environment, and migrating at least one table from the source database, at least a portion of the source DDL code, and at least a portion of the source ETL code to the target database environment, where the migrating is based at least in part on the mapping generated using the configuration data.
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Asha Uday Patki from Phoenix, AZ, age ~67 Get Report