(: 571-224-4550 :: shagufta.begum1@gmail.com

Shagufta Begum

CERTIFICATIONS:

STRENGTHS

  · IT Professional with over 6+ years of experience in all phases of SDLC and expertise experience in Data

Warehousing, ETL and Business Intelligence projects using Informatica, Talend, OWB, Datastage, and

Pentaho ETL with Oracle, SQL Server, Mysql and Netezza RDBMS.

  · Specialty expertise in Education, Healthcare and Advertising domains.

  · Data Warehousing experience using Star schema and Snowflake schema with Facts, Measures and Slowly

Changing Dimensions (SCD) Type1, Type2, and Type3.

  · Extensive experience in developing ETL mappings for XML, .csv, .txt sources and also loading the data

from these sources into relational tables with ETL tools loaders like Talend loader, Informatica loader,

Datastage loader and Sql * Loader.

  · Extensive experience in creating fact, lookup, dimension, staging tables and other database objects

like views, stored procedure, function, indexes, and constraints.

  · Well versed with Ralph Kimball (Bottom up) and Bill Inmonn (Top Down) methodologies, and Star and

Snow flake schemas.

  · Well versed with Facts and dimensions and have extensive experience in developing the mapping to

load the data in dimension and facts.

  · Extensive experience in analyzing and tuning the ETL flow for better performance and scheduling the

ETL mappings on daily, monthly, quarterly and yearly basis.

  · Guides, trains, instruct and assist team members on complex technical issues.

  · Extensive experience in requirement gathering, Data quality and developing physical and logical design

documents.

  · Well versed with Agile methodology, Scrum and Sprint process.

  · Excellent communication, interpersonal and Team Lead skills.

  · Highly motivated team player with excellent analytical, problem solving, interpersonal and

communication skills, commitment, result oriented and zeal to learn new technologies and undertake

challenging tasks.

EDUCATIONAL QUALIFICATIONS

  · Pursuing MBA-IT from Goldey Beacom College, USA 2011.

  · Masters of Information Systems (MIS) from University of N.Virginia, USA in 2011.

  · 2 yrs Advanced Diploma in Software Development with specialization in data warehousing tools, Oracle,

Sql-server from National Institute of Information Technology(NIIT) in 2002.

  · Bachelor of Science in Business Administration from Rohilkhand University, India in 2000.

TECHINCAL SKILL SET

Skills Profile

ETL Tools

Databases

Others Skills

Dimensional Modelling Tools

Languages

Methodologies

Operating Systems

Informatica Power Centre(8.x,7.x, 6.x), Talend Integration Suite 3/4/5,

Datastage(7.5/8.0/8.5), OWB(11g,10g,9i)

Oracle 8i/9i/10g, Ms-Sql Server 2005/2008, MySql, Netezza, Hadoop

OBIEE 10g, Salesforce

Erwin, Visio

Sql, Pl-Sql, T-Sql, Xml, java

Ralph Kimball Methodology, Bill-Inmon Methodology

Windows 2000/XP,UNIX, Ms-Dos

EMPLOYMENT HISTORY

  · Working for Infomatics Corp as Sr. ETL Developer from Apr-2012 – till now.

  · Worked for Meta Dimensions as Sr. ETL Developer from July 2011- Apr 2012.

  · Worked for Koofers, Inc as Sr. ETL Developer from Aug 2010 – June 2011.

  · Worked for Infomatics Corp as ETL Developer form Mar 2008- July 2010.

  · Worked for Emirates Neon as IT Analyst from Oct 2003- Sept 2005.

  · Worked for Jamia University as Computer Analyst from Jan 2001- Sept 2003.

AWARDS/ACHIEVEMENTS

  · Best Performer award by Koofers.

  · Created Fun@Work team 1st time in Koofers, which aims at best interaction possible between

employees of whole IT department.

  · Streamlined Data Integration process in Koofers by implementing cost effective Talend ETL solution

which results in higher performance and cost saving.

  · Assisted MIS director in University of Jamia to prepare Informatica Standards and guidelines, which are

now being followed by university MIS division.

Projects History

Project Number

Project Name

Client Name

Date –From/To

Position

Technology Used

1

Noah Data Integration

Apollo Global

Feb 2012- till now

Sr. ETL Developer

Informatica 8.6, Talend 4.2, Oracle, Sql-server, Hadoop, Mysql, OBIEE, Salesforce

Client Info: Apollo Global is a $1 billion joint venture between Apollo Group and private equity firm The

Carlyle Group formed in September, 2007. Apollo Global intends to make a range of investments in the

international education services sector targeting investments and partnerships primarily in countries outside

the U.S. with attractive demographic and economic growth characteristics.

Project Info:

Purpose of this project is to build an Enterprise Data Warehouse to integrate a suite of best-in-class core

applications to share across multiple universities. The project requires extensive Data Integration process to

load the data into Enterprise Data Warehouse from 1500+ multi format data sources. The project requires

development of complex transformation routines for data profiling, data cleaning, and data transformation to

streamline the Data Integration process. Eleven enterprise system applications and multiple work streams will

be integrated into a new technology infrastructure to support the core business functions of the organization.

Informatica ETL modules like Designer, Workflow Manager, Metadata Manager, Workflow Statistics are

extensively used to develop the new complex ETL jobs from different universities and also to support the

existing jobs and fixing issues. Talend Integration Suite 4.2 is used extensively to migrate the jobs from

Informatica and to integrate the multiple sources data into one standardized format, and to develop ETL

mapping for fact, dimension, staging, ODS, data warehouse and data mart loads. Hadoop has been used to

archive the heavy data files from different universities and to perform extensive map and reduce operations.

Role & Responsibilities

  · Documenting, designing and constructing the Extract, Translate and Load jobs that will move data for

the Operational Data Store using Informatica and Talend platform.

  · Used Informatica and Talend admin console to provide privileges, creating users, folders, repositories

etc.

  · Use Md5 and CRC 32 hashing algorithm to mask the data.

  · Develop complex ETL jobs from source to prep, prep to stage, stage to datamarts & datamarts to data

warehouse layers.

  · Develop complex data quality rules to clean the data like first name and last name swap rule, phone no

cleaning rule, cleaning special characters like “@,*/&$,;” from the address, structure standardization

rule and deduplication rules to filter the duplicate and unknown records.

  · Implemented auditing and batches process to capture the data load information like rows loaded, rows

rejected, file location, success, failure, load start date, load end date etc.

  · Implemented error handling strategy to capture the statistics rejects, and data flow with components

like tstatcatcher, tlogcatcher, tflowmeter.

  · Working on Informatica Power Center 8.6 and used most of the Informatica functions extensively to build

business rules to load data. Most of the transformations used were like the Source qualifier, Aggregators,

lookups, Filters, Sorting, Source Qualifier, SQL, Joiner, Expression, Router, Reject Strategy, Update

Strategy & Sequence generators.

  · Used parameters to handle the values of database connections, file path, data load history dynamically.

  · Develop Informatica session, task and workflow to execute the ETL jobs and load the data from

heterogeneous sources like Salesforce ERP system, .csv, .xml, .excel, oracle, mysql and sqlserver.

  · Develop Informatica jobs to FTP the files and to send success and failure notifications.

  · Used most of the Talend components like tmap, thashinput, tdie, tfilter, tjoin, tsetglobalvar, contexts,

twarn, taggregaterow, tfilelist, trunjob etc.

  · Develop Talend jobs to FTP the files and to send notification with components like tftpget, tftpput and

tsendemail.

  · Performed requirement gathering, Data Profiling, and unit testing of ETL jobs.

  · Develop ETL mapping with Talend to load the data from multiple sources like .csv, .xml, .txt formats.

  · Develop complex ETL jobs like SCD type 1 & Type2. The SCD Type 1, & 2 are used extensively to

captures the changes in the from source data into data marts and data warehouse.

  · Applied best practices and naming convention to standardize the data integration process like source to

target mapping document, source file definition document, job turnover document and job review

documents.

Project Number

Date –From/To

Project Name

Client Name

Position

Technology Used

2

July 2011- Jan 2012

University Data Integration

State of Georgia

Sr. ETL Developer

Informatica 8.6, Talend 4.2, Oracle, Sql-server, XML, Netezza, OBIEE, Salesforce

Worked on a State of Georgia data integration project to streamline and standardized the department of

education data. This project is in development stage to develop new ETL process for State of Georgia data

integration process. Informatica ETL modules like Designer, Repository Manager, Workflow Manager, Metadata

Manager, Workflow Statistics were extensively used to develop the new complex ETL jobs from different

universities and also to support the existing jobs and fixing issues. Informatica 8.6 was used extensively to

develop and maintain the ETL and data cleaning jobs. Informatica ETL was used to develop the jobs from the

multiple sources data into one standardized format, and to develop the new ETL mapping for fact, dimension,

staging, ODS, data warehouse and data mart loads. Talend Integration Suite 4.2 has been used as the new open

source ETL solution and to migrate the existing ETL jobs from Informatica ETL.

Role & Responsibilities

  · Develop complex ETL jobs from source to prep, prep to stage, stage to datamarts & datamarts to data

warehouse layers.

  · Used Informatica and Talend admin console to provide privileges, creating users, folders, repositories

etc.

  · Use Md5 and CRC 32 hashing algorithm to mask the data.

  · Implemented auditing and batches process to capture the data load information like rows loaded, rows

rejected, file location, success, failure, load start date, load end date etc.

  · Implemented error handling strategy to capture the statistics rejects, and data flow with components

like tstatcatcher, tlogcatcher, tflowmeter.

  · Worked on Informatica Power Center 8.6 and used most of the Informatica functions extensively to build

business rules to load data. Most of the transformations used were like the Source qualifier, Aggregators,

lookups, Filters, Sorting, Source Qualifier, SQL, Joiner, Expression, Router, Reject Strategy, Update

Strategy & Sequence generators.

  · Used parameters to handle the values of database connections, file path, data load history dynamically.

  · Develop Informatica session, task and workflow to execute the ETL jobs and load the data from

heterogeneous sources like Salesforce ERP system, .csv, .xml, .excel, oracle, mysql and sqlserver.

  · Develop Informatica jobs to FTP the files and to send success and failure notifications.

  · Develop complex data quality rules to clean the data like first name and last name swap rule, phone no

cleaning rule, cleaning special characters like “@,*/&$,;” from the address, structure standardization

rule and deduplication rules to filter the duplicate and unknown records.

  · Implemented error handling strategy to capture the statistics rejects, and data flow with components

like tstatcatcher, tlogcatcher, tflowmeter.

  · Used most of the Talend components like tmap, thashinput, tdie, tfilter, tjoin, tsetglobalvar, contexts,

twarn, taggregaterow, tfilelist, trunjob etc.

  · Develop Talend jobs to FTP the files and to send notification with components like tftpget, tftpput and

tsendemail.

  · Performed requirement gathering, Data Profiling, and unit testing of ETL jobs.

  · Develop ETL mapping with Talend to load the data from multiple sources like .csv, .xml, .txt formats.

  · Develop complex ETL jobs like SCD type 1 & Type2. The SCD Type 1, & 2 are used extensively to

captures the changes in the from source data into data marts and data warehouse.

  · Applied best practices and naming convention to standardize the data integration process like source to

target mapping document, source file definition document, job turnover document and job review

documents.

Company Name

Project Title

Date –From/To

Position

Technology Used

Koofers.com

Koofers Data Integration

Aug 2010- June 2011

Sr. ETL Developer

The main objective of this project is to develop the ETL jobs with Informatica Powercenter to integrate the

multiple sources data into one standardized format and to streamline the data Integration process of the

organization.

Informatica 8.1.1, Talend 3.2/4.1, Mysql, Sql-Server, Oracle, XML, .csv, .txt,

Smerfer, Unix, java

Phases of the Project : This projet involves five phases for the ETL development.

--------------------------·

Raw Files, Database tables( Sql Server, Oracle) è Data Profiling à ETL Prep Layer(Informatica, Mysql)

  · ETL Prep Layer à Data Quality à Standardization ETL Layer ( Talend, Mysql)

  · Standardization ETL Layer à Taxonomy Data Marts ( Informatica , Oracle) à BI Dashboard

  · Standardization ETL Layer à Data Warehouse ETL à BI Dashboard

  · Informatica ETL à Migrate à Talend ETL

Role & Responsibilities

  · Develop ETL mapping with Informatica & Talend to load the data from multiple sources like .csv, .xml,

.txt formats.

  · Develop complex ETL jobs from source to prep, prep to stage, stage to datamarts & datamarts to data

warehouse layers.

  · Used Informatica and Talend admin console to provide privileges, creating users, folders, repositories

etc.

  · Use Md5 and CRC 32 hashing algorithm to mask the data.

  · Develop complex data quality rules to clean the data like first name and last name swap rule, phone no

cleaning rule, cleaning special characters like “@,*/&$,;” from the address, structure standardization

rule and deduplication rules to filter the duplicate and unknown records.

  · Develop complex ETL jobs like Standarized convention in Koofers to standardize the data integration

process like source to target mapping document, source file definition document, job turnover

document and job review documents.

  · Worked on Informatica Power Center 8.1.1 and used most of the Informatica functions extensively to

build business rules to load data. Most of the transformations used were like the Source qualifier,

Aggregators, lookups, Filters, Sorting, Source Qualifier, SQL, Joiner, Expression, Router, Reject Strategy,

Update Strategy & Sequence generators.

  · Used parameters to handle the values of database connections, file path, data load history dynamically.

  · Develop Informatica session, task and workflow to execute the ETL jobs and load the data from

heterogeneous sources like Salesforce ERP system, .csv, .xml, .excel, oracle, mysql and sqlserver.

  · Develop Informatica jobs to FTP the files and to send success and failure notifications.

  · Performed requirement gathering, Data Profiling, and unit testing of ETL jobs.

  · Implemented error handling strategy to capture the statistics rejects, and data flow with components

like tstatcatcher, tlogcatcher, tflowmeter.

  · Used most of the Talend components like tmap, thashinput, tdie, tfilter, tjoin, tsetglobalvar, contexts,

twarn, taggregaterow, tfilelist, trunjob etc.

Project Number

Project Name

Date –From/To

Position

Technology Used

4

Healthcare Analytics

Mar 2008- July 2010

ETL Developer

Involved in ETL development projects with healthcare client to integrate the multiple sources data into one

standardized format, and to develop ETL mapping for fact, dimension, staging and ODS loads. Informatica was

used initially to develop the ETL jobs. Datastage 8.0/8.5 has been introduced to develop the new ETL

development from source to staging, staging to ODS, ODS to data warehouse and data warehouse to data

marts. This project includes fact tables like total no of Claims, Patient Treatment, Patient enrollment, Patient

Hospitalization, Providers, and In-Network Doctors etc. Develop complex loads for ScD type 1 & Type 2. Applied

complex data cleaning process to standardize the data into client required format.

Informatica 8.1.1, Datastage 8.0/8.5, Talend 3.2, OWB 10g, Oracle, Sql-server,

XML, Netezza, Microstratgy

Role & Responsibilities

  · Implemented Datastage error handling strategy to capture the statistics rejects, and data flow.

  · Used Informatica, Talend and Datastage admin console to provide privileges, creating users, folders,

repositories etc.

  · Used most of the Datastage components like Administrator, Designer, Director and Manager.

  · Used most of the Datastage stages like filter, sort, transformer, join, aggregator, peek, copy etc

  · Developed Datastage jobs to FTP the files and to send notification with components like email

activity, FTP stage.

  · Performed requirement gathering, Data Profiling, and unit testing of ETL jobs.

  · Develop ETL mapping with Datastage, Talend to load the data from multiple sources like .csv, .xml,

.txt formats.

  · Worked on Informatica Power Center 8.1.1 and used most of the Informatica functions extensively to

build business rules to load data. Most of the transformations used were like the Source qualifier,

Aggregators, lookups, Filters, Sorting, Source Qualifier, SQL, Joiner, Expression, Router, Reject Strategy,

Update Strategy & Sequence generators.

  · Used parameters to handle the values of database connections, file path, data load history dynamically.

  · Develop Informatica session, task and workflow to execute the ETL jobs and load the data from

heterogeneous sources like Salesforce ERP system, .csv, .xml, .excel, oracle, mysql and sqlserver.

  · Develop Informatica jobs to FTP the files and to send success and failure notifications.

  · Develop complex ETL jobs from source to prep, prep to stage, stage to datamarts & datamarts to data

warehouse layers.

  · Develop complex data quality rules to clean the data like first name and last name swap rule, phone no

cleaning rule, cleaning special characters like “@,*/&$,;” from the address, structure standardization

rule and deduplication rules to filter the duplicate and unknown records.

  · Develop complex ETL jobs like SCD type 1 & Type2. The SCD Type 1, & 2 are used extensively to

captures the changes in the from source data into data marts and data warehouse.

  · Applied best practices and naming convention to standardize the data integration process like source to

target mapping document, source file definition document, job turnover document and job review

documents.

Project Number

Project Title

Date –From/To

Position

Technology Used

5

Neon Advertising Data Warehouse

Oct 2003- Sept 2005

Analyst

Informatica 6.5, DataStage 7.5, XML, Oracle, Sql-Server, Business Objects 6.5

The objective of this project was to develop the data marts for EmiratesNeon advertising division. The data

was extracted from third party online ad campaign databases and multi format source files into one

standardized format to develop data marts for various departments of the advertising organization which use

integrated information to implement new business strategies based on online campaign customer behavior,

customer interest, customer geography etc. This information is helpful for the Senior Executives & Top

Management for decision making to target the new customers. The data was coming in .csv, .xml , .txt

formats. Informatica ETL was used extensively to develop the mappings from source to staging, staging to ODS,

ODS to data warehouse and data warehouse to data marts. Complex data quality rules has been applied to

clean the data like first name and last name swap rule, phone no cleaning rule, cleaning special characters like

“@,*/&$,;” from the address, structure standardization rule and deduplication rules to filter the duplicate and

unknown records. Business Objects reporting is used to pull the data from data-marts and represent into the

front end layer. Involved with ETL migration project from Informatica ETL to Datastage ETL.

Project Number

Project Title

Date –From/To

Position

Technology Used

6

University Taxonomy Warehouse

Jan 2001- Sept 2003

Computer Analyst

Informatica 6.0, XML, Oracle, Sql-Server, Linux

University MIS department was struggling to streamline the multi format source files and databases integration

process. The main objective of this project is to develop a datawarehouse to clean the data and to create

university courses taxonomy for each quarter, university centers taxonomy and then display the results with

dashboard solution. This project is critical for the university to grow further as at one point, it’s difficult for

the university to give correct information course schedule, faculty availability to the students as the source

data was corrupt and there were no rule in place to satisfy these needs. The data was coming in multiple

formats like .csv, .txt, xml, oracle db, sql-server database and contain lot of junk and dirty records.

Informatica ETL is used extensively to develop the mappings from source to staging, staging to ODS, ODS to

data warehouse and data warehouse to data marts. Complex data quality rules has been applied to clean the

data like first name and last name swap rule, phone no cleaning rule, cleaning special characters like

“@,*/&$,;” from the address, structure standardization rule and deduplication rules to filter the duplicate and

unknown records. Region and Courses dimensions are developed to incorporate the university taxonomies

relationships.