SUMMARY:

• Over 8 years of Senior Data Architect/Modeler/Analyst with IT professional experienced in Data Analysis, Data Modeling, Data Architecture, designing, developing, and implementing data models for enterprise - level applications and systems.
• Data Warehousing: Full life-cycle project leadership, business-driven requirements, capacity planning, gathering, feasibility analysis, enterprise and solution architecture, design, construction, data quality, profiling and cleansing, source-target mapping, gap analysis, data integration/ETL, SOA, ODA, data marts, Inman/Kimball methodology, Data Modeling for OLTP, canonical modeling, Dimension Modeling for data ware house star/snowflake design.
• Experience in Dimensional Data Modeling, Star/Snowflake schema, FACT & Dimension tables.
• Expertise on Relational Data modeling (3NF) and Dimensional data modeling.
• Worked on Informatica Power Center tools-Designer, Repository Manager, Workflow Manager.
• Practical understanding of the Data modeling (Dimensional & Relational) concepts like Star-Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables.
• Expertise in Data Governance, Collibra Software, and Business Analytics.
• Experience in Big Data Hadoop Ecosystem in ingestion, storage, querying, processing and analysis of big data.
• Experience in BI/DW solution (ETL,OLAP, Data mart), Informatica, BI Reporting tool like Tableau and Qlikview and also experienced leading the team of application, ETL, BI developers, Testing team
• Logical and physical database designing like Tables, Constraints, Index, etc. using Erwin, ER Studio, TOAD Modeler and SQL Modeler.
• Solid experience in Relational Modeling, Dimensional Modeling, Conceptual, Logical Modeling, Physical Modeling, Star Schema, Snowflakes Schema, ERD (IDEF1X and IE notation) ER Diagrams, Granularity, Cardinality and Database Reengineering.
• I’ve implemented tools to extract, transform and Load Data using Hive, pig and HBase with data mining and management with huge data sources (Oracle /Teradata, Hadoop, NoSQL, Netezza ) with solid experience in working and creating 3rd Normal Forms (ODS) and Dimensional models (OLAP).
• Excellent knowledge in preparing required project documentation and tracking and reporting regularly on the status of projects to all project stakeholders.
• Implemented tools to extract, transform and Load Data using Java, Hive, pig and HBase with data mining and management with huge data sources ( Oracle/Teradata, Hadoop ) with solid experience in working and creating 3rd Normal Forms (ODS) and Dimensional models (OLAP).
• Extensive ETL testing experience using Informatica 9x/8x, Talend, Pentaho.
• Work on Background process in oracle Architecture. Also drill down to the lowest levels of systems design and construction.
• Experienced in Technical consulting and end-to-end delivery with architecture, data modeling, data governance and design - development - implementation of solutions.
• Heavy use of Access queries, V-Lookup, formulas, Pivot Tables, etc. Working knowledge of CRM Automation Salesforce.com, SAP.
• Broad design, development and testing experience with Talend Integration Suite and knowledge in Performance tuning of mappings.
• Experienced in integration of various relational and non-relational sources such as DB2, Teradata, Oracle, Netezza, SQL Server, NoSQL, COBOL, XML and Flat Files, to Netezza database.
• Business Intelligence: Requirements analysis, Key Performance Indicators (KPI), metrics development, sourcing and gap analysis, OLAP concepts and methods, aggregates / materialized views and performance, rapid prototyping, tool selection, semantic layers Excellent experience in writing SQL queries to validate data movement between different layers in data warehouse environment.
• Assist in creating communication materials based on data for key internal /external audiences.
• Skillful in Data Analysis using SQL on Oracle, MS SQL Server, DB2 & Teradata.
• Proficient in System Analysis, ER/Dimensional Data Modeling, Database design and implementing RDBMS specific features.

TECHNICAL SKILLS:

Data Modeling Tools: Erwin, Rational System Architect, IBM Infosphere Data Architect, ER Studio and Oracle Designer

Database Tools: Microsoft SQL Server2012/2015, Teradata 15.0, Oracle 11g/9i/12c and MS Access.

ETL/Data warehouse Tools: Informatica 9.6/9.1/8.6.1/8.1 , SAP Business Objects XIR3.1/XIR2, Web Intelligence, Talend, Tableau 8.2.

Big Data: Hadoop, Hive, Pig, Hbase, Spark.

Cloud: AWS.

BI Tools: Tableau 7.0/8.2, Tableau server 8.2, Tableau Reader 8.1,SAP Business Objects, Crystal Reports Packages Microsoft Office 2010, Microsoft Project 2010, SAP and Microsoft Visio, Share point Portal Server

Quality Assurance Tools: Win Runner, Load Runner, Test Director, Quick Test Pro, Quality Center, Rational Functional Tester.

Tools: OBIE 10g/11g, SAP ECC6 EHP5, Go to meeting, Docusign, Insidesales.com, Share point, Mat-lab.

Project Execution Methodologies: Agile, Ralph Kimball and BillInmon data warehousing methodology, Rational Unified Process (RUP), Rapid Application Development (RAD), Joint Application Development (JAD)

Version Tool: VSS, SVN, GIT.

Testing and defect tracking Tools: HP/Mercury (Quality Center), Quick Test Professional, Performance Center, Requisite, MS Visio.

Operating System: Windows, Unix, Sun Solaris

PROFESSIONAL EXPERIENCE:

Confidential, Westlake, TX

Sr. Data Architect/Modeler

Responsibilities:

• Massively involved in Data Architecture role to review business requirement and compose source to target data mapping documents.
• Responsible for Data Architecture, Data Modeling, Data Integration, Data quality & Metadata management solution design and delivery for Enterprise EDW and Hadoop environment.
• As a Architect implement MDM hub to provide clean, consistent data for a SOA implementation
• Independently coded new programs and design Tables to load and test the program effectively for the given POC's using Big Data/Hadoop.
• Worked with BTEQ to submit SQL statements, import and export data, and generate reports in Teradata.
• Defined and deployed monitoring, metrics, and logging systems on AWS.
• Translate business and data requirements into Logical data models in support of Enterprise Data Models, ODS, OLAP, OLTP, Operational Data Structures and Analytical systems.
• Full life cycle of Data Lake, Data Warehouse with Big data technologies like Spark, Hadoop.
• Responsible for technical Data governance, enterprise wide Data modeling and Database design.
• Developed Data Migration and Cleansing rules for the Integration Architecture (OLTP, ODS, DW).
• Designed both 3NF data models for ODS, OLTP systems and dimensional data models using Star and Snow flake Schemas.
• Worked extensively on ER Studio for multiple Operations across Hartford in both OLAP and OLTP applications.
• Involved in OLAP model based on Dimension and FACTS for efficient loads of data based on Star Schema structure on levels of reports using multi-dimensional models such as Star Schemas and Snowflake Schema.
• Performed the Data Mapping, Data design (Data Modeling) to integrate the data across the multiple databases in to EDW.
• Generate metadata, create Talend etl jobs, mappings to load data warehouse, data lake.
• Created Communities, Domains, Assets, hierarchies in Collibra .
• Spearheaded the establishment of the Enterprise Business Glossary, including Business Terms, BT Descriptions, and Business Rules; the Tiering Criteria, encompassing Tier 1, 2 or 3; and the Data Linkages between the Metadata and Lineage documents for Collibra, IDQ, and IMM data governance tools. Integrated process to manage data quality
• Preparation of business (Collibra) and technical metadata (IBM Infosphere)
• Perform administrative tasks, including creation of database objects such as database, tables, and views, using SQL DCL, DDL, and DML requests.
• Work with Enterprise Data Governance team to review enterprise standards for data quality playbook.
• Prepare Data Flows and Write SQL Quiries for Data Profiling/Data Quatily check list on Source/Target data and formalize Data Governance Rules. Presenting Data profiling results from QlikView for decision making.
• Participated in several project activities including Data Architect design, ETL design, QA support, Code review.
• Designed the data marts using the Ralph Kimball's Dimensional Data Mart modeling methodology using ER Studio.
• Experience using MapReduce, and "Big data" work on Hadoop and other NOSQL platforms.
• Review system architecture, data flow, data warehouse dimensional model, DDL to identify the area for improvement to reduce the loading & reporting time for a meter reading system.
• Managed and worked with offshore teams to create workflows on Collibra
• Incorporated business requirements in quality conceptual, logical data models using ER Studio and created physical data models using forward engineering techniques to generate DDL scripts.
• Designing normalized and star schema data architectures using ER Studio and forward engineering these structures into Teradata.
• Responsible for Big data initiatives and engagement including analysis, brainstorming, POC, and architecture.
• Transformation Services (DTS), and DataStage and ETL package design, and RDBM systems like SQL Servers, Oracle, and DB2.
• Identifying Data Governance issues and formulating refined business process and data flow for long term solution.
• Installation and Configuration of other Open Source Software like Pig, Hive, HBase, Flume and Sqoop.
• Prepared a web UI for the HBase database for crud operation like put, get, scan, delete and update.
• Generated periodic reports based on the statistical analysis of the data using SQL Server Reporting Services (SSRS).
• Worked on NoSQL databases including HBase, Mongo DB, and Cassandra. Implemented multi-data center and multi-rack Cassandra cluster.
• Used Talend for Big data Integration using Spark and Hadoop.
• Selecting the appropriate AWS service based on data, compute, database, or security requirements.
• Used Flume extensively in gathering and moving log data files from Application Servers to a central location in Hadoop Distributed File System (HDFS) for data science.
• Working on Amazon Redshift and AWS and architecting a solution to load data, create data models and run BI on it.
• Migrated DTS packages to SSIS and modified using DTS editor wizard.
• Business Data Lineage from Critical Data Elements to DQ Measures to Business Rules mapped on Collibra
• Developed and configured on Informatica MDM hub supports the Master Data Management (MDM), Business Intelligence (BI) and Data Warehousing platforms to meet business needs.
• Worked with Hadoop eco system covering HDFS, HBase, YARN and Map Reduce.
• Developed a dashboard solution for analyzing STD statistics by building SSIS cubes and Tableau.
• Developed, Implemented & Maintained the Conceptual, Logical & Physical Data Models using ER/Studio 9 (ER Studio)- Forward/Reverse Engineered Databases.
• Involved in Agile project management environment.
• Developed PL/SQL scripts to validate and load data into interface tables
• Involved in maintaining data integrity between Oracle and SQL databases.

Environment: ERStudio9.7, Teradata15, Star Schema, Snowflake Schema, AWS, HBase, Pig, Hive, Sqoop, OLAP, OLTP, Oracle12c, ODS, Business Objects, MDM, Hadoop, SQL Server 2012, Spark, Cassandra.

Confidential, Tampa, FL

Sr. Data Architect/Modeler

Responsibilities:

• Worked as a Data Modeler/Architect to generate Data Models using Erwin and developed relational database system.
• Involved in requirement gathering and analysis with Business analyst, systems analysts, Developers and DBA and translated them into detailed reporting requirements.
• Designed the Logical Data Model using ERWIN 9.64 with the entities and attributes for each subject areas.
• Developed long term data warehouse roadmap and architectures, designs and builds the data warehouse framework per the roadmap.
• Specifies overall Data Architecture for all areas and domains of the enterprise, including Data Acquisition, ODS, MDM, Data Warehouse, Data Provisioning, ETL, and BI.
• Designed and developed architecture for data services ecosystem spanning Relational, NoSQL and Big Data technologies.
• Designed, developed, and maintained Enterprise Data Architecture for enterprise data management including business intelligence systems, data governance, data quality, enterprise metadata tools, data modeling, data integration, operational data stores, data marts, data warehouses, and data standards.
• Data modeling, Design, implement, and deploy high-performance, custom applications at scale on Hadoop /Spark.
• Developed and implemented data cleansing, data security, data profiling and data monitoring processes.
• Applied data analysis, data mining and data engineering to present data clearly.
• Worked with multiple Databases including RDBMS Technologies (MySql, Oracle) and NoSQL databases (Cassandra, HBase, Neo4J)
• Ensured high-quality data and understand how data is generated out experimental design and how these experiments can produce actionable, trustworthy conclusions.
• Reverse engineered some of the databases using Erwin.
• Knowledge with multiple Hadoop clusters using Kerberos and Sentry.
• Proficiency in SQL across a number of dialects (we commonly write MySQL, PostgreSQL, Redshift, SQL Server, and Oracle).
• Loading data from different source(database & files) into Hive using Talend tool.
• Created data models for AWS Redshift and Hive from dimensional data models.
• Good Experience in creating cubes by using Pentaho Schema Workbench
• Advises/leads projects involving the ETL related activities and the migration or conversion of data between enterprise data systems. Coordinates interactions between central IT, business units, and data stewards to achieve desired organizational outcomes.
• Used the data Integration tool Pentaho for designing ETL jobs in the process of building Datawarehouses and Data Marts.
• Advises on and enforces data governance to improve the quality/integrity of data and oversight on the collection and management of operational data.
• Able to guide / partner with VP / Directors for architecting solutions for the Big data Organization
• Integrated crystal reports using Erwin Data Modeler.
• Us Erwin to support for TeradataV15 and SSL.
• Developed Data Mapping, Data Governance, and Transformation and cleansing rules for the Master Data Management Architecture involving OLTP, ODS.
• Designing Talend Jobs to load Fact & Dimension Tables.
• Involved in designing Logical and Physical data models for different database applications using the Erwin.

Environment: Oracle 12c, MS-Office, SQL Architect, TOAD Benchmark Factory, Teradatav15, SQL Loader, Big Data SharePoint, ERwin r 9.64, DB2, MS-Office, SQL Server 2008/2012.

Confidential, Omaha, NB

Sr. Data Analyst/Modeler

Responsibilities:

• Gathered and translated business requirements, worked with the Business Analyst and DBA for requirements gathering, business analysis, and testing and project coordination.
• Extensively used Erwin 9.1 for developing data model using star schema methodologies
• Experienced in Using CA Erwin Data Modeler (Erwin) for Data Modeling (data requirements analysis, database design etc.) of custom developed information systems, including databases of transactional systems and data marts.
• Owned and managed all changes to the data models. Created data models, solution designs and data architecture documentation for complex information systems.
• Worked with reverse engineering Data Model from Database instance and Scripts.
• Extensively used Erwin r9.1 for Data modeling. Created Staging and Target Models for the Enterprise Data Warehouse.
• Worked on Sending data from hdfs(Hive db) to greenplum using sqoop .
• Developed MapReduce to write User Profiles and Personalized Recommendation data into HBase.
• Designed Star and Snowflake Data Models for Enterprise Data Warehouse using ERWIN.
• Worked with Data Steward Team for designing, documenting and configuring Informatica Data Director for supporting management of MDM data.
• Creation of BTEQ, Fast export, Multi Load, TPump, Fast load scripts for extracting data from various production systems .
• Loaded and transformed large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts
• Worked on AWS Redshift and RDS for implementing models and data on RDS and Redshift.
• Developed mapping spreadsheets for (ETL) team with source to target data mapping with physical naming standards, data types, volumetric, domain definitions, and corporate meta-data definitions.
• Responsible for developing and supporting a data model and architecture that supports and enables the overall strategy of expanded data deliverables, services, process optimization and advanced business intelligence.
• Designed and troubleshoot Pentaho data integration (kettle) jobs, transformations.
• Designing Star Schema and Snow Flake Schema on Dimensions and Fact Tables
• Expertise in Informatica, DB2, Microstrategy and UNIX Shell scripting
• Worked with Data Vault Methodology Developed normalized Logical and Physical database models
• Designed ER diagrams (Physical and Logical using Erwin) and mapping the data into database objects and identified the Facts and Dimensions from the business requirements and developed the logical and physical models using Erwin.
• Analysis, reporting and tracking of defects on a daily basis.
• Established and maintained comprehensive data model documentation including detailed descriptions of business entities, attributes, and data relationships.
• Implemented Data Vault Modeling Concept solved the problem of dealing with change in the environment by separating the business keys and the associations between those business keys, from the descriptive attributes of those keys using HUB, LINKS tables and Satellites.
• Created HBase tables to load large sets of structured, semi-structured and unstructured data coming from VOD and ODOL.
• Wrote and running SQL, BI and other reports, analyzing data, creating metrics/dashboards/pivots/etc.
• Gather and analyze business data requirements and model these needs. In doing so, work closely with the users of the information, the application developers and architects, to ensure the information models are capable of meeting their needs.
• Working along with ETL team for documentation of transformation rules for data migration from OLTP to warehouse for purpose of reporting.
• Transformed Logical Data Model to Physical Data Model ensuring the Primary Key and Foreign key relationships in PDM, Consistency of definitions of Data Attributes and Primary Index considerations.

Environment: Python, MySQL, PostgreSQL,, SQL Server, Erwin, Informatica, AWS Redshift, RDS, Big Data, JDBC, NOSQL, Spark, Scala, Star Schema, Snow Flake Schema .

Confidential, Bronx, NY

Sr. Data Analyst/Modeler

Responsibilities:

• Developed the logical data models and physical data models that capture current state/future state data elements and data flows using ER Studio.
• Reverse Engineered DB2 databases and then forward engineered them to Teradata using ER Studio.
• Part of team conducting logical data analysis and data modeling JAD sessions, communicated data-related standards.
• Involved in meetings with SME (subject matter experts) for analyzing the multiple sources.
• Involved in SQL queries and optimizing the queries in Teradata.
• Created DDL scripts using ER Studio and source to target mappings to bring the data from source to the warehouse.
• Wrote Sybase stored procedures to retrieve data from Facets database application for Web interface member eligibility inquiry and Web interface claim status inquiry.
• Developed the design & Process flow to ensure that the process is repeatable.
• Performed analysis of the existing source systems (Transaction database)
• Involved in maintaining and updating Metadata Repository with details on the nature and use of applications/data transformations to facilitate impact analysis.
• Created DDL scripts using ER Studio and source to target mappings to bring the data from source to the warehouse.
• Designed the ER diagrams, logical model (relationship, cardinality, attributes, and, candidate keys) and physical database (capacity planning, object creation and aggregation strategies) for Oracle and Teradata .
• Worked in importing and cleansing of data from various sources like Teradata, Oracle, flatfiles, MS SQL Server with high volume data
• Designed Logical & Physical Data Model /Metadata/ data dictionary using Erwin for both OLTP and OLAP based systems.
• Identify, assess and intimate potential risks associated to testing scope, quality of the product and schedule .
• Wrote and executed SQL queries to verify that data has been moved from transactional system to DSS, Data warehouse, data mart reporting system in accordance with requirements.
• Worked in importing and cleansing of data from various sources like Teradata, Oracle, flat files, SQL Server 2005 with high volume data
• Worked extensively on ER Studio for multiple Operations across Atlas Copco in both OLAP and OLTP applications.
• Developed enhancements to Mongo DB architecture to improve performance and scalability.
• Generated comprehensive analytical reports by running SQL queries against current databases to conduct data analysis.
• Produced PL/SQL statement and stored procedures in DB2 for extracting as well as writing data.
• Co-ordinate all teams to centralize Meta-data management updates and follow the standard Naming Standards and Attributes Standards for DATA &ETL Jobs.
• Finalize the naming Standards for Data Elements and ETL Jobs and create a Data Dictionary for Meta Data Management.
• Wrote and executed SQL queries to verify that data has been moved from transactional system to DSS, Data warehouse, data mart reporting system in accordance with requirements.
• Worked in importing and cleansing of data from various sources like Teradata, Oracle, flat files, SQL Server 2005 with high volume data

Environment: ER Studio, Business Objects XI, Rational Rose, Data stage, MS Office, MS Visio, SQL, SQL Server, Rational Rose, Crystal Reports 9, SQL Server 2008, SQL Server Analysis Services, SSIS, Oracle 10g.

Confidential

Sr. Data Analyst/Modeler

Responsibilities:

• Worked with Business users during requirements gathering and prepared Conceptual, Logical and Physical Data Models.
• Wrote PL/SQL statement, stored procedures and Triggers in DB2 for extracting as well as writing data.
• Attended and participated in information and requirements gathering sessions
• Translated business requirements into working logical and physical data models for Data warehouse, Data marts 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.
• Excellent knowledge and experience in Technical Design and Documentation.
• Used forward engineering to create a physical data model with DDL that best suits the requirements from the Logical Data Model.
• Involved in preparing the design flow for the Data stage objects to pull the data from various upstream applications and do the required transformations and load the data into various downstream applications
• Performed logical data modeling, physical data modeling (including reverse engineering) using the Erwin Data Modeling tool.
• Experience in developing dashboards and client specific tools in Microsoft Excel and Power Point.
• Responsible for the development and maintenance of Logical and Physical data models, along with corresponding metadata, to support Applications.

Environment: Erwin 8.0, ER- Studio 6.0/6.5, Toad 8.6, Informatica 8.0, IBM OS 390(V6.0), DB2 V7.1, Oracle9i, PL/SQL, Solaris 9/10, Windows Server 2003 & 2008. NZSQL,