Data Modeler/data Analyst Resume
CaliforniA
SUMMARY
- 4 years of experience in Data Analysis including Data Development, Implementation and Maintenance of databases and software applications.
- Working experience in both traditional Waterfall and sprinted Agile Methodologies.
- Having knowledge on gather business requirements and translate them into reporting needs.
- Solid hands on experience of data model repository, documentation in Meta data portals in such as Erwin, ER Studio and Power Designer tools.
- Experience with Teradata utilities like Fast Export, Fast Load, Multi Load to export and load data to/from different source systems including flat files.
- Experience in data cleansing, data transformation, data mapping specifications from source to target database.
- Extensive experience working with XML, Schema Designing and XML data.
- Good understanding of Ralph Kimball (Dimensional) & Bill Inmon (Relational) model Methodologies.
- Proficient in data mart design using dimensional data modeling - identifying Facts and Dimensions, Star Schema and Snowflake Schema.
- Extensive experience on usage of ETL & Reporting tools like SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS).
- Excellent knowledge in creating Databases, Tables, Stored Procedures, DDL/DML Triggers, Views, functions and Indexes using T-SQL.
- Extensive experience with T-SQL in constructing Triggers, Tables, implementing stored Procedures, Functions, Views, User Profiles, Data Dictionaries and Data Integrity.
- Well verse in system analysis, Relational and Dimensional Modeling, Database design and implementing RDBMS specific features.
- Proficiency in extracting data and creating SAS datasets from various sources like Oracle database, Access database, and flat files using Import techniques.
- Strong experience in using MS Excel and MS Access to dump the data and analyze based on business needs.
- Conduct data analysis, mapping, transformation, data modeling and data-warehouse concepts.
- Proficient in data governance, data quality, metadata management, master data management.
- Expertise in performing User Acceptance Testing (UAT) and conducting end user training sessions.
- Experience in testing Business Intelligence reports generated by various BI Tools like Cognos and Business Objects.
- Good knowledge and experienced in producing tables, reports, graphs and listings using various procedures and handling large databases to perform complex data manipulations.
TECHNICAL SKILLS
Data Modeling Tools: Erwin Data Modeler 9.7, Erwin Model Manager, ER Studio v17, and Power Designer.
Programming Languages: SQL, PL/SQL
Reporting Tools: SSRS, Power BI, Tableau, SSAS, MS-Excel, SAS BI Platform.
Cloud Management: Amazon Web Services(AWS), Redshift
Databases: Oracle 12c/11g, Teradata R15/R14, MS SQL Server 2016/2014, DB2.
Operating System: Windows, Unix, Sun Solaris
AWS tools: EC2, S3 Bucket, AMI, RDS, Amazon Redshift.
PROFESSIONAL EXPERIENCE
Confidential - California
Data Modeler/Data Analyst
Responsibilities:
- Massively involved as Data Modeler/Analyst role to review business requirement and compose source to target data mapping documents.
- Designed the business requirement collection approach based on the project scope and SDLC methodology.
- Designed and deployed scalable, highly available, and fault tolerant systems on Azure.
- Conducted data modeling JAD sessions and communicated data related standards.
- Extensively used Agile Method for daily scrum to discuss the project related information.
- Worked on Teradata SQL queries, Teradata Indexes, MDM Utilities such as Fast load and Fast Export.
- Created Data stage jobs (ETL Process) for populating the data into the Datawarehouse constantly from different source systems.
- Performed reverse engineering using Erwin to redefine entities, attributes and relationships existing database.
- Developed complex mapping to extract data from diverse sources including flat files, RDBMS tables, legacy system files, XML files, and Applications.
- Involved in writing T-SQL working on SSIS, SSAS, Data Cleansing, Data Scrubbing and Data Migration.
- Optimized and updated UML Models (Visio) and Relational Data Models for various applications.
- Worked on the Enterprise Metadata repositories for updating the metadata and involved in Master Data Management MDM .
- Involved in Dimensional modeling (Star Schema) of the Data warehouse and used Erwin to design the business process, dimensions and measured facts.
- Wrote Python scripts to parse XML documents and load the data in database.
- Written DDL and DML statements for creating, altering tables and converting characters into numeric values.
- Identified the Entities, attributes and designed a relational database system (RDBMS).
- Well versed in system analysis, ER/Dimensional Modeling, Database design and implementing RDBMS specific features.
- Translated business concepts into XML vocabularies by designing XML Schemas with UML.
- Extensively worked with enterprise data warehouse development by building data marts, staging and pre-staging.
- Used reverse engineering for a wide variety of RDBMS, including MS Access, Oracle and Teradata to connect to existing database and create graphical representation using Erwin.
- Worked on Data load using Azure Data factory using external table approach.
- Designed and Developed Oracle, PL/SQL and Data Import/Export, Data Conversions and Data Cleansing.
- Implemented end-to-end systems for Data Analytics, Data Automation and integrated with custom visualization tools using MongoDB.
- Worked on the reporting requirements and involved in generating the reports for the Data Model using crystal reports
- Developed several detailed reports to understand the trend analysis over periods using SQL Server Reporting Services (SSRS)
- Resolved the data type inconsistencies between the source systems and the target system using the Mapping Documents.
- Extensively used MS Access to pull the data from various data bases and integrate the data.
- Involved in T-SQL queries and optimizing the queries in SQL Server and Teradata
- Written and executed customized SQL code for ad hoc reporting duties and used other tools for routine report generation.
Environment: Erwin 9.8, Oracle 12c, SQL, PL/SQL, Agile, Teradata r15, ETL, SSIS, SSAS, MDM,XML Azure, MongoDB 4.0,T-SQL.
Confidential
Data Modeler
Responsibilities:
- Gathered the Business requirements from customers and creating data models for different branches using MS access and ER/Studio.
- Designed a STAR Schema for the detailed data marts and Plan data marts involving confirmed Dimensions.
- Worked on Teradata database, installed and configured the Teradata utility tools.
- Created reports using SQL Reporting Services (SSRS) for customized and ad-hoc Queries
- Worked on Metadata and Data Dictionary Management, Data Profiling, Data Mapping.
- Designed a normalized datamodel and several DE normalized datamodels for reports.
- Used SQL extensively for performing unit testing for the developed Modules.
- Performed data Ingestion for the incoming web feeds into the Datalake store which includes both structured and unstructured data.
- Developed reusable objects like PL/SQL program units and libraries, database procedures and functions, database triggers to be used by the team and satisfying the business rules.
- Created, managed, and modified logical and physical datamodels using a variety of data modeling philosophies and techniques including Inmon or Kimball
- Generated the DDL statements and working with the database team in creating the tables, views, keys in the database
- Managed the Metadata for the subject area models for the Datawarehouse environment
- Designed Activity, Sequence and Process FlowDiagrams using MSVisio to simplify and elaborate certain selection criteria and filter conditions
- Involved in cleaning of large data sets using python and Created named sets, calculated member and designed scope in SSAS, SSRS.
- Executed complex SQL sub queries to prepare ad-hoc reports in Oracle.
- Delineated and conducted walkthroughs of process flows using UMLdiagrams to identify data integration points to be secured.
- Designed and maintained the Logical & Physical dimensional data models using ER/Studio
- Extensively worked with Teradatautilities like fast Export, Fast Load, Multi Load to export and load data from different source systems including flat files.
- Delineated and conducted walkthroughs of process flows using UMLdiagrams to identify data integration points to be secured.
Environment: ER/Studio v15, Teradata r14, SSRSS, SQL, PL/SQL, SSAS, Oracle 10g
