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Sr. Data Modeler Resume

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Charlotte, NC

PROFILE SUMMARY:

  • Over 8+ Years of Experience in Data Analysis/Data Modeler, Report Generation, Maintenance of Business Report Processes and Data Verifications and Validations.
  • Experienced in Interacting with Users, analyzing client business processes, Documenting business requirements, Performing Design Analysis and Developing Design Specifications.
  • Experienced working with data modeling tools like Erwin, Power Designer and ER Studio.
  • Strong experience in Business and Data Analysis, Data Profiling, Data Migration and Data Integration.
  • Experienced with different Relational databases like Teradata, Oracle, SQL Server and MS Access.
  • Extensive SQL experience in querying, data extraction and data transformations.
  • Experienced in writing numerous SQL Queries and Performing ad - hoc analysis.
  • Experienced in developing business reports by writing complex SQL queries using views, macros, volatile and global temporary tables
  • Experienced in Automating and Scheduling the Teradata SQL Scripts in UNIX using Korn Shell scripting.
  • Created pivot tables and charts using worksheet data and external resources, modified pivot tables, sorted items and group data, and refreshed and formatted pivot tables.
  • Strong Experience in working on MS Access, MS Excel and MS Power Point
  • Experienced in handling all the domain and technical interaction with application users, analyzing client business processes, documenting business requirements.
  • Experience on SAS setup, coding, development, analysis, debugging, implementation and maintenance as an Analyst with experience in Windows or UNIX.
  • Excellent understanding of Data Warehousing Concepts - Star and Snowflake schema, SCD Type1/Type2, Normalization/De-Normalization, Dimension & Fact tables.
  • Proficient experience as a Data Analyst in gathering data from different sources, data profiling, data definition, and loaded the data to business warehouse.
  • Experience in conducting Joint Application Development (JAD) sessions for requirements gathering, analysis, design and Rapid Application Development (RAD) sessions
  • Expertise in broad range of technologies, including business process tools such as Microsoft Project, MS Excel, MS Access, MS Visio
  • Experience in testing and writing SQL and PL/SQL statements - Stored Procedures, Functions, Triggers and packages.
  • Excellent experience in Data mining with querying and mining large datasets to discover transition patterns and examine financial data.
  • Created various dashboards using Tableau, Excel, and Access with a focus on user interface and simple data consumption
  • Experience in Business Intelligence tools like Business Objects, Cognos and OBIEE
  • Experience in Data Transformation, Metadata, and Data dictionary, Data Loading, Modeling and Performance Tuning.
  • Experience with creating reports using Business Objects.
  • Excellent understanding of Microsoft BI toolset including Excel, Power BI, SQL Server Analysis Services, Visio, Access.
  • Strong knowledge of database management in writing SQL queries using complex joins, grouping, aggregation, nested sub queries, and resolving key performance issues.

SKILLS:

Analysis and Modeling Tools: Erwin 9.6/9.5, Sybase Power Designer, ER/Studio V17

Big Data: Hadoop, SQOOP, Hive, Cassandra, HBase, MapReduce.

Cloud Architecture: Amazon AWS, Redshift & MS Azure

Database Tools: Microsoft SQL Server2016/2014, Teradata 15/14, Oracle 12c/11g, MS Access, PostgreSQL, Netezza.

Languages: UNIX Shell Scripting, HTML, T-SQL, Data Structure, Algorithms.

OLAP Tools: Tableau, SAP BO, SSAS, Business Objects

ETL Tools: SSIS, SSRS, Informatica Power 9.6, SAP Business Objects XIR3.1/XIR2, Web Intelligence

Operating System: Windows, Linux, Unix

Reporting Tools: Business Objects, Crystal Reports8/9.0

Tools: & Software's: TOAD, MS Office, BTEQ, Teradata SQL Assistant

Other tools: SQL PLUS, SQL LOADER, MS Project, MS Visio, UNIX, PL/SQL etc

Project Execution Methodologies: Agile, SDLC, Ralph Kimball and Bill Inmon, RUP, RAD, JAD

WORK EXPERIENCE:

Confidential - Charlotte, NC

Sr. Data Modeler

Responsibilities:

  • Worked with SMEs, Business Analysts and Technology teams to understand the data requirements and the full attribute set for entities and dimensions.
  • Converted business processes, domain specific knowledge, and information needs into a conceptual model.
  • Created semantically rich logical data models (non-relational/No SQL) that define the Business data requirements.
  • Converted conceptual models into logical models with detailed descriptions of entities and dimensions for Enterprise Data Warehouse.
  • Extensively used agile methodology as the Organization Standard to implement the data Models.
  • Identified data organized into logical groupings and domains, independent of any application or system.
  • Provided centralized direction for metadata repositories, data definitions, and data relationships.
  • Developed and maintain fully defined conceptual, logical and physical dimensional data models to ensure the information models are capable of meeting end user and developer needs
  • Developed data models and data migration strategies utilizing sound concepts of data modeling including star schema, snowflake schema.
  • Developed Model aggregation layers and specific star schemas as subject areas within a logical and physical model.
  • Documented data models including a fully normalized version.
  • Provided data harmonization, master data development, data governance, data quality and metadata management.
  • Established measures to chart progress related to the completeness and quality of metadata for enterprise information.
  • Supported reduction of data redundancy and fragmentation and elimination of unnecessary movement of data and to improve data quality.
  • Developed the data dictionary for various projects for the standard data definitions related data analytics.
  • Generated DDL scripts from physical data models for implementation to the database platform.
  • Conducted data modeling for JAD sessions and communicated data related standards.
  • Facilitate ETL design efforts to provide direction and support implementation of ETL designs.
  • Investigate Data Quality Issues and provide recommendation & solution to address them.
  • Optimized and updated UML Models (Visio) and Relational Data Models for various applications.
  • Coordinate with Data Architects to Design Big Data, Hadoop projects and provide for a designer that is an idea-driven.
  • Used SQOOP for Data ingestion in Hadoop.
  • Worked on NoSQL Databases as Cassandra
  • Configured Hadoop Ecosystems to read data transaction from HDFS and Hive
  • Prepared reports to summarize the daily data quality status and work activities.
  • Performed ad-hoc analyses, as needed, with the ability to comprehend analysis as needed.
  • As a part of my functional responsibility, worked with Project Managers and Business users to gather requirements.

Environment: Erwin 9.7, No SQL, Sqoop, Cassandra 3.11, Hadoop 3.0, HDFS, Hive 2.3

Confidential, Eden Prairie, MN

Sr. Data Modeler/Data Analyst

Responsibilities:

  • Designed and maintenance of conceptual and logical data model for OLTP and other analytical applications using Erwin.
  • Analyzed functional and non-functional business requirements and translate into technical data requirements and create or update existing logical and physical data models.
  • Facilitated data modeling sessions ranging from information gathering to model validation.
  • Utilize data modeling phase methodology leveraging conceptual, logical and physical development to arrive at model solutions.
  • Reviewed and created documents and diagrams using Data models, Data mapping, Data dictionaries and Metadata.
  • Developed and maintain metadata definitions for sourcing data stores and all evolutions of the Data Lake from ingested sources to consumers.
  • Provided thought leadership to collecting data, staging data, cleansing data, standardizing data and publishing data into data marts.
  • Performed Forward Engineering the Data models, Reverse Engineering on the existing Data Models and Updates the Data models.
  • Developed data models for different class of ODS systems.
  • Participated in business process modeling, worked with the developers with respect to data mapping and validation of the data's life cycle.
  • Design the dimensional data model for the Data Lake, EDW and MDM solutions.
  • Ensure reuse of the conform dimensions and promote the use of common data objects.
  • Worked with the ETL and MDM teams to ensure correct implementation of the data models, data quality and validation rules.
  • Worked on Data governance, data quality, data lineage establishment processes.
  • Involved with data profiling for multiple sources and answered complex business questions by providing data to business users.
  • Worked with data investigation, discovery and mapping tools to scan every single data record from many sources.
  • Collaborate with architects and data owners to define efficient ETL and MDM strategy utilizing Informatica capabilities.
  • Worked on PL/SQL collections, index by table, arrays, bulk collect, FOR ALL, etc.
  • Used data model repository using Model Mart and drive the team to use the same for keeping master models repository.
  • Performed reverse engineering of physical data models from databases and SQL scripts.
  • Worked on Unit Testing for three reports and created Sql Test Scripts for each report as required.
  • Configured & developed the triggers, workflows, validation rules & having hands on the deployment process from one sandbox to other.
  • Extensively used Erwin as the main tool for modeling along with Visio
  • Established and maintained comprehensive data model documentation including detailed descriptions of business entities, attributes, and data relationships.
  • Worked on Metadata Repository (MRM) for maintaining the definitions and mapping rules up to mark.
  • Performed data cleaning and data manipulation activities using NZSQL utility.
  • Created and developed the stored procedures, triggers to handle complex business rules, history data and audit analysis.
  • Directed and overseeing data quality tests, including providing input to quality assurance team members.

Environment: Erwin 9.6, OLTP, PL/SQL, MS Visio, NZSQL, MDM, ETL, Informatica 9.5

Confidential, Richmond, VA

Sr. Data Analyst

Responsibilities:

  • Lead research projects on solutions to data problems; advise on methods to improve data related business processes; present results to senior management.
  • Worked with various Business users to gather reporting requirements and understand the intent of reports and attended meetings to provide updates on status of the projects.
  • Direct the development of Entity-relationship diagram (ERD) and Data Flow Diagram (DFD), user experience and configuration elements of solution design.
  • Coordinate and support proposals, feasibility studies, and new business development.
  • Direct the development of data dictionary for complex database and projects.
  • Lead development of complex database query, intermediate level DB procedures, functions or packages to pull relevant data for analysis.
  • Metadata
  • Created database objects like Procedures, Functions, Packages, Triggers, Indexes and Views using T-SQL in Development and Production environment for SQL Server.
  • Testing responsibilities included unit testing, integration testing, and business acceptance testing.
  • Worked on normalization techniques Normalized the data into 3rd Normal Form (3NF).
  • Produce complex reports, complex dimensional models, data dictionary, physical and Logical data model.
  • Translated the requirements into Business (Functional) and System (Technical) requirements and review with the customer to get their approval.
  • Wrote complex SQL queries to analyze and understand data.
  • Generated reports from SAS, Business Objects or Crystal reports depending on the customer requirement.
  • Write SQL queries to create mock up reports as per the business requirements and got user approval.
  • Validated the data during UAT testing.
  • Worked on analysis of Master Data Management (MDM) for Data Sourcing.
  • Wrote business rules in source to target data mapping document to make it easy and clear for developers and testers.
  • Performed data analysis, data governance and data profiling using Informatica on various source systems.
  • Involved in developing ad-hoc reporting for various sales operations for different customers using Tableau dashboards.
  • Assisted my team members in querying complex data bases (customer) to prepare meaningful data sets for Tableau reporting.
  • Worked with the Business Analysts and the QA team for validation and verification of the development.
  • Created pivot tables and charts using worksheet data and external resources, modified pivot tables, sorted items and group data, and refreshed and formatted pivot tables.
  • Developed numerous PROC SQL Queries by creating SET or MULTISET Tables, Views, Volatile Tables, using Inner and Outer Joins.
  • Utilize advanced SQL optimization techniques using INDEX, COLLECT STATS and PARTITION to optimize data.
  • Created a flat script with all the required tables in a report by eliminating duplicates and by using several point in time tables by joining on snap dates.

Environment: SQL, T-SQL, SAS, Informatica, 3NF, Crystal reports, MS Excel, Tableau, Sql Scripts, ad-hoc, MS Visio.

Confidential

Data Modeler/Data Analyst

Responsibilities:

  • Involved in requirement gathering along with the business analysts group.
  • Gathered all the report prototypes from the business analysts belonging to different Business units.
  • Gathered various requirement matrices from the business analysts.
  • Participated in Joint Application Development(JAD) sessions
  • Designed the data marts using the Ralph Kimball's Dimensional Data Mart modeling methodology using Power Designer.
  • Conducted Design discussions and meetings to come out with the appropriate Data Model
  • Designed for the various reporting requirements
  • Designed a logical data model using database tool Power Designer.
  • Used Power Designer to create logical and physical data models for enterprise wide OLAP system.
  • Developed monthly summary and downstream data marts from enterprise wide databases in accordance with reporting requirements with dimensions like time, customers, services and accounts.
  • Used Normalization (1NF, 2NF & 3NF) and De-normalization techniques for effective performance in OLTP and OLAP systems.
  • Developed data Mart for the base data in Star Schema, Snow-Flake Schema involved in developing the data warehouse for the database.
  • Developed Star and Snowflake schemas based dimensional model to develop the data warehouse
  • Modeled the dimensions and facts using Erwin for centralized data warehouse.
  • Identified and tracked slowly changing dimensions and determined the hierarchies in dimensions
  • Actively participated in data mapping activities for the data warehouse.
  • Created summary tables using de-normalization technique to improve complex join operations.
  • PerformedDataAnalysis andDataProfiling and worked ondatatransformations anddataquality rules.
  • Involved in extensivedatavalidation by writing several complex SQL queries and Involved in back-end testing and worked withdataquality issues.
  • Collected, analyze and interpret complexdatafor reporting and/or performance trend analysis
  • Wrote and executed unit, system, integration and UAT scripts in adatawarehouse projects.
  • Generated comprehensive analytical reports by running SQL queries against current databases to conduct data analysis pertaining to Loan products.
  • Participated in the tasks of data migration from legacy to new database system.
  • Worked on Metadata exchange among various proprietary systems using XML.
  • Conducted Design reviews with the business analysts, content developers and DBAs.
  • Designed and implemented a physical data model to handle marketing strategies and to satisfy reporting needs dynamically.
  • Organized User Acceptance Testing (UAT), conducted presentations and provided support for Business users to get familiarized with Loan products application.
  • Handled performance requirements for databases in OLTP and OLAP models.
  • Worked with the Implementation team to ensure a smooth transition from the design to the implementation phase.

Environment: Power Designer, SQL Server 2008, Windows XP, Oracle 10g, UML, SQL Loader, OBIEE.

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