Data Solution Architect /modeler Resume
Columbus, OhiO
SUMMARY
- Result - oriented IT professional experience with strong background in Database development and designing data models for online transactional processing (OLTP) and online Analytical Processing (OLAP) systems for Health Care, Banking, Financial, Insurance & Telecom domains.
- Strong background in various Data Modeling tools using ERWIN, IBM Data Architect, Power Designer, MS Visio.
- Expert knowledge in SDLC (Software Development Life Cycle) and good experience in the field of business analysis, reviewing, analyzing, and evaluating business systems and user needs, business modeling, document processing.
- Extensive experience in Relational Data Modeling, Dimensional Data Modeling, Logical data model/Physical data models Designs, ER Diagrams, Forward and Reverse Engineering, Publishing ERWIN diagrams, analyzing data sources and creating interface documents.
- Designed and developed Data Marts by following Star Schema and Snowflake Schema Methodology, using industry leading Data Modeling tools like Erwin.
- Participated in JAD sessions, created Use Cases, workflows and Power Point presentations.
- Gathering and translating business requirements into technical designs and development of the physical aspects of a specified design.
- Gathered and documented Functional and Technical Design documents.
- Have experience in extensive data profiling & Analysis.
- Worked extensively on Data Governance. Implemented metadata management to achieve regulatory compliance and quality in business intelligence.
- Have worked with ETL tools to extract, transform and load data from relational databases and various file formats and loaded to target database.
- Excellent knowledge in SQL and coding PL/SQL Packages, Procedures.
- Experience in SQL Performance Tuning and Optimization (Design, Memory, Application, IO) and using Explain plan, Tracing and TKPROF.
- Experience in creating Materialized views, Views, Lookups for the Oracle warehouse.
- Experience with Erwin model manager.
- Experience working with Master Data Management
- A dedicated team player with excellent communication, organizational and interpersonal skills.
TECHNICAL SKILLS
DBMS: Oracle 11/12, Hadoop Big Data, Hive, MS SQL SERVER 2016/2017, Sybase, Teradata, Netezza
Database Specialties: Database Architecture, Data Analysis, Enterprise Data Warehouse, Database Design and Modeling, Data extraction, Integration, transformation and Migration, ETL Architecture and Design Data Warehouse, OLTP, OLAP, Report Design and Development.
Data Analysis: User Requirement Gathering, JAD Sessions, Gap Analysis, Data Cleansing, Data Transformations, Data Profiling, Source Systems Analysis, Data Relationships
Data Modeling: Erwin, Info sphere Data Architect (IDA), MS Visio, Toad, Power Designer, ER Studio
ETL Tools: BO DS 3.X, BO DI XI R2/6.5, Informatica, Data Stage
Reporting Tools: Tableau
Programming: PL/SQL, T-SQL, JAVA, C/C++, VB 6.0, Python
Scripting languages: Java script, PHP
Web technologies: HTML, XML, AWS
Microsoft Office: Word, MS Excel, Access
PROFESSIONAL EXPERIENCE
Confidential, Columbus, Ohio
Data Solution Architect /Modeler
Responsibilities:
- Responsible for delivering and coordinating data-profiling, data-analysis, data-governance, data-models (conceptual, logical, physical), data-mapping, data-lineage and reference data management.
- Participated in meetings & JAD sessions to gather and collect requirements from the business end users as well as reporting requirements. Worked with Business Analysts, SQL Developers, end users and stakeholders to understand the requirements and signoff on the various deliverables
- Create team strategies and establish project scopes of work; communicate project deliverable time frames and benchmarks to project sponsors.
- Created process flows and data flow diagrams of the current and future systems.
- Suggest architectural improvements, design and integration solutions, and formulate methodologies to optimize database development.
- Performed Data profiling and exploration using Informatica IDQ
- Performed gap analysis for different data sources
- Created Source to Target mapping to include transformations and data quality rules needed for EDW Integration
- Created Data Marts to support enterprise reporting.
- Maintained metadata, version controlling of the data model.
- Utilized hybrid data model architecture to deliver project goals with limited budget.
- Developed Data Exploration zone stores to manage raw data for exploratory analytics
- Created Materialized views & Summary tables for Reporting
- Integrated physical data model with business glossary.
- Implemented data lineage of Metadata workbench tool
- Implemented metadata management as one part of data governance. Worked with the business users to populate business glossary.
- Worked in Agile environment to help teamwork toward our goals
- Performance Tuning on SQL Queries for efficiency and performance
- Build and Manage AWS Data Lake for data storage and analytics
Environment: Erwin, IBM Infosphere Data Architect (IDA), Hadoop Hive, HDFS, Teradata, Oracle 11g, Oracle VLDB, Big Integrate, SQL Server, AWS Cloud Computing Services
Confidential, Columbus, Ohio
Data Modeler/Analyst
Responsibilities:
- Attended and participates in information and requirements gathering sessions.
- Translated business requirements into working logical and physical data models for Staging, Operational Data Store and Data marts applications.
- Customized IBM UDMH Model to satisfy multiple use cases.
- Performed gap analysis and dependency analysis for current & future systems.
- Designed Star Schema Data Models for Enterprise Data Warehouse using InfoSphere IDA.
- Created Mapping documents for ETL using InfoSphere Fast Track tool
- Created and maintained Logical & Physical Data Models for the project. Included documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.
- Implemented metadata management as one part of data governance. Worked with the business users to populate business glossary.
- Imported model to business glossary and performed integration of the technical and business terms.
- Implemented data lineage of Metadata workbench tool
- Worked with Cognos reporting team to export xml framework manager model from IDA
- Validated and updated the appropriate Models to process mappings, screen designs, use cases, business object model, and system object model as they evolved and changed.
- Regular work reviews & supporting test units
- Created Model reports including Data Dictionary, Business reports.
- Generated SQL scripts and implemented the relevant databases with related properties from keys, constraints, indexes & sequences.
- Netezzza Performance tuning: grooming, distribution keys etc.
Environment: IBM Infosphere Data Architect (IDA), DB2, Teradata, Oracle 11g, IBM Data Stage, Toad, SQL Server, Informatica DataStage
Confidential, Madison, NJ
Sr. Data Analyst
Responsibilities:
- Attended and participates in information and requirements gathering sessions.
- Translated business requirements into working logical and physical data models for OLTP & OLAP systems.
- Performed gap analysis and dependency analysis for current & future systems.
- Worked with Informatica Data quality tool to do data profiling.
- Designed Star Schema Data Models for Enterprise Data Warehouse using Power Designer.
- Created Mapping documents for Staging, ODS & Data Mart Layers.
- Created and maintained Logical & Physical Data Models for the project. Included documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.
- Validated and updated the appropriate Models to process mappings, screen designs, use cases, business object model, and system object model as they evolved and changed.
- Created Model reports including Data Dictionary, Business reports.
- Generated SQL scripts and implemented the relevant databases with related properties from keys, constraints, indexes & sequences.
- Performance tuning
Environment: ER Studio, Oracle 10g, Data Stage, Toad, Salesforce
Confidential
Data Modeler/Analyst
Responsibilities:
- Attended and participated in information and requirements gathering sessions
- Ensured that business requirements can be translated into data requirements
- Translated business requirements into working logical and physical data models for OLTP and OLAP applications.
- Designed Star and Snowflake Data Models for Enterprise Data Warehouse using ERWIN
- Created and maintained Logical Data Model (LDM) for the project. Includes documentation of all entities, attributes, data relationships, primary and foreign key structures, allowed values, codes, business rules, glossary terms, etc.
- Validated and updated the appropriate LDM's to process mappings, screen designs, use cases, business object model, and system object model as they evolve and change.
- Created business requirement documents and integrated the requirements and underlying platform functionality.
- Maintained data model and synchronized it with the changes to the database.
- Designed and developed use cases, activity diagrams, and sequence diagrams using UML.
- Extensively involved in the modeling and development of Reporting Data Warehousing System
- Experience in MPP architectures.
- Designed the database tables & created table and column level constraints using the suggested naming conventions for constraint keys.
- Used ETL tool SAP DS to extract, transform and load data into data warehouses from various sources like relational databases, application systems, temp tables, flat files etc.
- Developed stored procedures and triggers.
- Wrote packages, procedures, functions, exceptions using PL/SQL.
- Created & maintained ETL queries.
- Reviewed the database programming for triggers, exceptions, functions, packages, procedures.
- Involved in the testing phase right from the Unit testing to the User Acceptance testing.
- Involved with all the phases of Software Development Life Cycle (SDLC) methodologies throughout the project life cycle.
Environment: Erwin 4, 7, MS Visio, Teradata, SAP Data Services, Toad
Confidential, Ashburn, VA
Data Analyst
Responsibilities:
- Reviewed functional requirements and use cases to determine the relevant data requirements.
- Created conceptual, logical and physical data models and updated according to the updates in the business requirements.
- Manage the Metadata for the Subject Area models for the Data Warehouse environment. Highly involved in maintaining the Data Dictionary for all the models across Enterprise.
- Worked with ETL Team to load sequential files (flat files, text files, CSV files) in data stage.
- Involved in writing complex queries as part of data analysis and producing fact tables.
- Managed multiple OLAP and ETL projects for various needs.
- Responsible for the replication of the tables into the Operational Data Store (ODS)
- Debugging the SQL-Statements and stored procedures for various business scenarios.
- Developed advanced SQL queries to extract, manipulate, and/or calculate information to fulfill data and reporting requirements including identifying the tables and columns from which data is extracted.
- Performed extensive Data Validation, Data Verification against Data Warehouse.
- Implemented slowly changing dimensions Type2 and Type3 for accessing history of reference data changes.
- Worked with the database administrators (DBAs) to finalize the physical properties of the tables.
- Extensively made use of Compressor, Table Spaces, Indexes, Sequences, Materialized Views, Procedures and Packages in Data Models.
- Tested and validated the BO reports by running similar SQL queries against the source system(s).
- Responsible for Data Mapping, Data Governance, Transformation and cleansing rules for the Master Data Management Architecture involving OLTP, ODS and OLAP.
- Testing the source and target databases for conformance to specifications.
Environment: Erwin, MS Visio, Toad, Oracle 9/10, PL/SQL, SQL*Plus, Toad, Data Stage