Data Modeler/data Analyst Resume
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Bentonville, AR
SUMMARY
- Around 8 years of working experience in Data Analysis, Data Profiling, Data Migration, Data Conversion, Data Quality, Data Integration and Metadata Management Services and Configuration management.
- Good understanding of Software Development Life cycle (SDLC) including planning, analysis, design, development, testing, implementation.
- Good Knowledge and working experience on AWS tools like Amazon S3, and Amazon Red Shift.
- Extensive experience in using ER modeling tools such as Erwin and ER/Studio, Power Designer.
- Experience in conducting Joint Application Development (JAD) sessions with SMEs, Stakeholders and other project team members for requirements gathering and analysis.
- Excellent proficiency in Agile/Scrum and waterfall methodologies.
- Good experience in working with different reporting tool environments like SQL Server Reporting Services (SSRS), and Business Objects.
- Good Knowledge on SQL queries and creating database objects like stored procedures, triggers, packages and functions using SQL and PL/SQL for implementing the business techniques.
- Experience in developing Conceptual, logical models and physical database design for Online Transactional processing (OLTP) and Online Analytical Processing (OLAP) systems.
- Good experience in Technical consulting and end - to-end delivery with data modeling, data governance.
- Efficient in all phases of the development lifecycle, coherent with Data Cleansing, Data Conversion, Data Profiling, Data Mapping, Performance Tuning and System Testing.
- Excellent experience in writing SQL queries to validate data movement between different layers in data warehouse environment.
- Experience in generating DDL (Data Definition Language) Scripts and creating Indexing strategies.
- Proficient in Normalization/De-normalization techniques in relational/dimensional database environments and have done normalizations up to 3NF.
- Experience in data analysis to track data quality and for detecting/correcting inaccurate data from the databases.
- Excellent knowledge on creating reports on SAP Business Objects, for multiple data providers.
- Conduct data analysis, mapping transformation, data modeling and data-warehouse concepts.
- Capture, validate and publish metadata in accordance with enterprise data governance policies and MDM taxonomies.
- Excellent experience in writing and executing unit, system, integration and UAT scripts in a data
- Good understanding of Ralph Kimball (Dimensional) & Bill Inman (Relational) model Methodologies.
- Experience with Teradata utilities such as Fast Export, MLOAD for handling various tasks.
- Having good working experience in Data Vault which is used in maintain Historical Data in the Enterprise Data Warehouse.
- Experience with DBA tasks involving database creation, performance tuning, creation of indexes, creating and modifying table spaces for optimization purposes.
PROFESSIONAL EXPERIENCE
Confidential, Bentonville, AR
Data Modeler/Data Analyst
Responsibilities:
- As a Data Modeler/Data Analyst to generate Data Models using Erwin and subsequent deployment to Enterprise Data Warehouse.
- Wrote DDL and DML statements for creating, altering tables and converting characters into numeric values.
- Participated in design discussions and assured functional specifications are delivered in all phases of SDLC in an Agile Environment.
- Worked with Business users during requirements gathering and prepared Conceptual, Logical and Physical Data Models.
- Worked on Data load using Azure Data factory using external table approach.
- Created various Physical Data Models based on discussions with DBAs and ETL developers.
- Used Normalization (1NF, 2NF & 3NF) and De-normalization techniques for effective performance in OLTP and OLAP systems.
- Worked on Data load using Azure Data factory using external table approach.
- Worked on Master data Management (MDM) Hub and interacted with multiple stakeholders.
- Designed the data marts in dimensional data modeling using star schemas and snowflake schemas.
- Maintained and implemented Data Models for Enterprise Data Warehouse using Erwin.
- Developed the data warehouse model (Kimball's) with multiple data marts with conformed dimensions for the proposed central model of the Project.
- Used windows Azure SQL reporting services to create reports with tables, charts and maps.
- Developed rule sets for data cleansing and actively participated in data cleansing and anomaly resolution of the legacy application.
- Developed and deployed quality T-SQL codes, stored procedures, views, functions, triggers and jobs.
- Worked on Data Mining and data validation to ensure the accuracy of the data between the warehouse and source systems.
- Involved in development and implementation of SSIS, SSRS and SSAS application solutions for various business units across the organization.
- Developed Data mapping, Transformation and Cleansing rules for the Data Management involving OLTP and OLAP.
- Worked with project management, business teams and departments to assess and refine requirements to design/develop BI solutions using MS Azure.
- Configured Hadoop Ecosystems to read data transaction from HDFS and Hive.
- Created data flow, process documents and ad-hoc reports to derive requirements for existing system enhancements.
- Performed Data Manipulation using MS Excel Pivot Sheets and produced various charts for creating the mock reports.
Environment: Erwin 9.7, Agile, MS Azure, OLTP, OLAP, MDM, T-SQL, SSIS, SSRS, Hadoop 3.2, HDFS, Hive 3.1, MS Excel 2019
Confidential Rochester MN
Data Analyst
Responsibilities:
- Gathered user requirements, analyzed, and designed software solution based on the requirements.
- Designed and developed real time recommendation engine to rank sales leads for upsell opportunities
- Transformed raw data into MySQL with custom-made ETL application to prepare unruly data for machine learning
- Automated ETL processes across millions of rows of data, which reduced manual workload by 20% monthly
- Leveraged Survey Monkey responses to develop sentiment analysis model that helped improve sales and marketing strategies
- Developed views, functions, procedures, and packages using PL/SQL & SQL to transform data between source staging area to target staging area.
- Loading data from flat files into to database tables using SQL* loader.
- Collaborated with the infrastructure, network, database, application, and BA teams to ensure data quality and availability.
- Designed, documented operational problems by following standards and procedures using JIRA.
- Analyzed and processed complex data sets using advanced querying, visualization, and analytics tools.
- Identified, measured, and recommended improvement strategies for KPIs across all business areas.
- Partnered with 3 cross-functional teams: UI/UX, product testing and marketing to drive product discovery, development, and delivery of new mobile applications
- Created database objects like tables, views, procedures, triggers, functions to provide definition, structure and to maintain data efficiently.
- Designed and implemented data profiling and data quality improvement solution to analyze, match, cleanse, and consolidate data before loading into data warehouse.
- Created data stories, reports and visualizations using Tableau
- Created ad-hoc, weekly and monthly reports in compliance with the client requirement with Excel.
Confidential Washington, PA
Data Modeler/Data Analyst
Responsibilities:
- Worked as a Data Modeler to generate Data Models using Erwin and developed relational database system.
- Worked on Software Development Life Cycle (SDLC) with good working knowledge of testing, agile methodology, disciplines, tasks, resources and scheduling.
- Conducted Design reviews with the business analysts and the developers to create a proof of concept for the reports.
- Worked on Amazon Redshift and AWS and architecting a solution to load data, create data models.
- Analyzed the data which is using the maximum number of resources and made changes in the back-end code using PL/SQL stored procedures and triggers
- Performed thorough data analysis for the purpose of overhauling the database using SQL Server.
- Designed different type of Star schemas for detailed data marts and plan data marts in the OLAP environment.
- Extracted Mega Data from Redshift AWS, and Elastic Search engine using SQL Queries to create reports.
- Created and maintained data model standards, including master data management (MDM)
- Created SSIS package for daily email subscriptions to alert Tableau subscription failure using the. PostgreSQL database.
- Connected to AWS Redshift through Tableau to extract live data for real time analysis.
- Created Logical & Physical Data Model on Relational (OLTP) on Star schema for Fact and Dimension tables using Erwin.
- Designed the data marts using the Ralph Kimball's Dimensional Data Mart modeling methodology using Erwin.
- Identified and documented data sources and transformation rules required to populate and maintain data Warehouse content.
- Worked on Metadata exchange among various proprietary systems using XML.
- Developed Entity-Relationship diagrams, Star/Snow Flake Schema Designs, and expert in modeling Transactional Databases and Data Warehouse.
- Performed detailed data analysis to analyze the duration of claim processes and created the cubes with Star Schemas using facts and dimensions through SQL Server Analysis Services (SSAS).
- Worked on normalization techniques, normalized the data into 3rd Normal Form (3NF).
- Implemented Forward engineering to create tables, views and SQL scripts and mapping documents.
- Performed data analysis and data profiling using complex SQL on various sources systems.
- Generated parameterized queries for generating tabular reports using global variables, expressions, functions, and stored procedures using SSRS.
- Monitored the Data quality and integrity of data was maintained to ensure effective functioning of department.
Environment: Erwin 9.6, agile, AWS, PL/SQL, OLAP, MDM, SSIS, OLTP, XML, SSAS, 3NF, SSRS
Confidential
Data Analyst/Data Modeler
Responsibilities:
- Worked as a Sr. Data Analyst/Modeler to generate Data Models using Power Designer and developed relational database system
- Analyzed the business requirements of the project by studying the Business Requirement Specification document.
- Developed long term data warehouse roadmap and architectures, designs and builds the data warehouse framework per the roadmap.
- Worked in generating and documenting Metadata while designing OLAP systems environment.
- Designed logical and physical data models using data provisioning and consumption techniques.
- Involved in data mapping document from source to target and the data quality assessments for the source data.
- Involved in development and implementation of SSIS, SSRS and SSAS application solutions for various business units across the organization.
- Designed both 3NF data models for OLTP systems and dimensional data models using star and snow flake Schemas.
- Designed and Developed Oracle, and Shell Scripts, Data Import/Export, Data Conversions and Data Cleansing.
- Facilitated in developing testing procedures, test cases and User Acceptance Testing (UAT).
- Wrote T-SQL statements for retrieval of data and Involved in performance tuning of T-SQL queries and Stored Procedures.
- Conducted JAD Sessions with the SME, stakeholders and other management teams in the finalization of the User Requirement Documentation.
- Involved in Data profiling and performed Data Analysis based on the requirements, which helped in catching many Sourcing Issues upfront.
- Wrote DDL and DML statements for creating, altering tables and converting characters into numeric values.
- Developed and maintained data dictionary to create metadata reports for technical and business purpose.
- Created ER diagrams using Power Designer modeling tool for the relational and dimensional data modeling.
- Created SQL tables with referential integrity and developed queries using SQL, and PL/SQL.
- Involved in Normalization / De-normalization, Normal Form and database design methodology.
- Conducted user interviews, gathering requirements, analyzing the requirements using Rational Rose, Requisite pro RUP.
Environment: Power Designer, OLAP, SSIS, SSRS, OLTP, 3NF, PL/SQL, SQL
Confidential
Data Analyst
Responsibilities:
- Performed data analysis and data profiling using complex SQL on various sources systems and answered complex business questions by providing data to business users.
- Generated Data dictionary reports for publishing on the internal site and giving access to different users.
- Created complex Stored Procedures, SSIS packages, triggers, cursors, tables, views and SQL joins and statements for application.
- Worked with Data Analyst for requirements gathering, business analysis and project coordination.
- Translated business concepts into XML vocabularies by designing XML Schemas with UML
- Created, modified, deployed, optimized, and maintained Business Objects Universes using Designer.
- Worked with business analyst to design weekly reports using combination of Crystal Reports.
- Applied various data mining techniques Linear Regression & Logistic Regression, classification, clustering.
- Produced report using SQL Server Reporting Services (SSRS) and creating various types of reports.
- Developed all the required stored procedures, user defined functions and triggers using T-SQL and SQL
- Performed Data Analysis and Data validation by writing SQL queries using SQL assistant.
- Worked in generating and documenting Metadata while designing OLTP and OLAP systems environment.
- Wrote a complex SQL, PL/SQL, Procedures, Functions, and Packages to validate data and testing process.
- Worked on Data Mining and data validation to ensure the accuracy of the data between the warehouse and source systems.
- Developed SQL Joins, SQL queries, tuned SQL, views, test tables, scripts in development environment.
- Developed SQL queries, Ad Hoc for Extracting data from production databases to build data structures, reports.
Environment: SQL, SSIS, XML, SSRS, T-SQL, OLTP, OLAP, PL/SQL