Geeta K.

Geeta K.

Sr Analyst 12+ yrs exp in Oracle PL/SQL Safe Scrum Certified

Delhi , India

Experience: 11 Years

Geeta

Delhi , India

Sr Analyst 12+ yrs exp in Oracle PL/SQL Safe Scrum Certified

28800 USD / Year

  • Immediate: Available

11 Years

Now you can Instantly Chat with Geeta!

About Me

 

  • Dynamic senior IT professional with more than 12yrs of developement experience in Data Analysis, Data Migration ,Development, Oracle PL/SQL, Performance Tuning,

  • Involved in all SDLC phases including requ...

  • Involved in all SDLC phases including requirement gathering, development, testing, debugging, deployment, documentation, production support.

  • Strong analysis/coding/testing skills in Oracle, SQL, PL/SQL, Performance Tuning, Forms/Reports, SQL 2000. Developed, maintained, and documented databases in Oracle 9i,10g.

  • Good Knowledge in Data Modeling ,ETL Process & Data Warehousing Concepts

  • Strong at problem solving, collaboration and faster adoptability to given situation.

  • Good understanding on data quality issues and providing technical solutions

  • Worked intensively on SQL & Performance tuning like Query Optimization, index creations,TKPROF,Explain Plan

  • Worked intensively on advanced PL/SQL (collections, Native Dynamic SQL etc).

  • Experienced in Agile development projects

  • Worked in Unix shell scripting,developement of perl scripts for automation and c++ scripting

  • Excellent technical and analytical, problem-solving, inter-personal and communication skills.

  • SAFE Scrum Master Certified, Agile trained.

  • Worked in different domains like finance,telecom,media and energy.

Show More

Portfolio Projects

BFG Application

Contribute

Developement & maintenance of backend application.Part of the release support team which was responsible for smooth deployment of Source code in environments.

Description

The objective of the project CS&C Inventory Management is to merge the databases of various Source Systems into BFG (Big Friendly Giant) database, which will act as the primary database. The Extraction Transformation and Loading process was being carried out after suitable validations and checks so as to make the data in BFG database compliant with the Source System databases. Central Repository is the primary database for several systems like Sales tools, Order Management, Fault management to significantly improve the data quality. As each system has its own data requirements, the Central repository projects offers interfaces tailored to the requirements of each system and ensures that interface changes be made for one system does not affect other systems.

Show More Show Less

LRF SVG

Contribute

• Lead the implementation of Oracle backend for the processing applications • Coding, Unit testing and deployment for database objects in Development and the pre-productions servers.

Description

Project LRF-SVF (Long Range Forecast-Shop Visit Forecast) is the development of marketing applications (LRF and SVF) for the Life Cycle prediction of an aircraft. The technology used is J2EE with ORACLE as Database.

Show More Show Less

Award choice

Contribute

Developement & maintenance of backend application for the Award choice stock option platform.

Description

Awardcboice is a record keeping based stock option system.Bank of America, Merill Lynch has over 450+ Clients under this Project. Under this system, Company will be providing employees with stock options based on their performance.

Show More Show Less

BRAYTON GE

Contribute

• Coordination with Team and distribution of story points allocated for each sprint • Develop a conceptual model and further a Physical model and design based on Customer specifications

Description

Project is a part of GE Power Gen Services -Total plant solutions. These are basically a web-based application to stay connected to the fleet performance, Reliability and Availability. The database contains data about the turbine equipment, its features, aspects and characteristics which it receives from M&D team on a daily basis.

Show More Show Less