Sr. Data Analyst/data Modeler Resume
Atlanta, GA
PROFILE SUMMARY:
- Over 7+ years of professional experience in Data Modeling, Business Data Analysis and design of OLTP systems.
- Proficient in data mart design, creation of cubes, identifying facts & dimensions, star & snowflake schemes and canonical model.
- Solid hands on experience with administration of data model repository, documentation in metadata portals in such as Erwin, ER Studio and Power Designer tools.
- Strong working Experience with Agile, Scrum, Kanban and Waterfall methodologies.
- Capture, validate and publish metadata in accordance with enterprise data governance policies.
- Responsible for data governance rules and standards to maintain the consistency of the business element names in the different data layers.
- Extensive experience in in - depth data analysis on different data bases and structures.
- Extensive experience in development of T-SQL, Oracle PL/SQL Scripts, Stored Procedures and Triggers for business logic implementation.
- Proficient in Normalization/De-normalization techniques in relational/dimensional database environments and have done normalizations up to 3NF.
- Expertise in SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) tools.
- Experience in backend programming including schema and table design, stored procedures, Triggers, Views, and Indexes.
- Excellency in MS Excel with proficiency in Vlookups, Pivot Tables and understanding of VBA Macros.
- Extensive experience using R packages like ggplot2.
- Conduct data analysis, mapping transformation, data modeling and data-warehouse concepts.
- Experience in conducting Joint Application Development (JAD) sessions with SMEs, Stakeholders and other project team members for requirements gathering and analysis.
- Software Development Life Cycle (SDLC) experience including Requirements, Specifications Analysis/Design and Testing as per the Software Development Life Cycle.
- Solid Excellent experience in creating cloud based solutions and architecture using Amazon Web services (Amazon EC2, Amazon S3, Amazon RDS) and Microsoft Azure.
- Experience in designing star schema, Snowflake schema for Data Warehouse, ODS architecture by using tools like Erwin Data Modeler, Power Designer, Embarcadero E-R Studio and Microsoft Visio.
- Experience in Big Data Hadoop Ecosystem in ingestion, storage, querying, processing and analysis of big data.
- Good understanding and hands on experience in setting up and maintaining NoSQL Databases like Cassandra and HBase.
- Experience in data transformation, data mapping from source to target database schemas, data cleansing procedures using.
- Excellent knowledge on creating reports on SAP Business Objects, Web reports for multiple data providers.
- Excellent experience in writing and executing unit, system, integration and UAT scripts.
- Extensive experience in using ER modeling tools such as Erwin and ER/Studio, Teradata and BTEQ
- Hands on experience in SQL queries and optimizing the queries in Oracle, SQL Server, DB2, and Netezza.
- Experience in working with RDBMS like Oracle, Microsoft SQL Server and Teradata.
- Experience in data analysis to track data quality and for detecting/correcting inaccurate data from the databases.
- 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.
TECHNICAL SKILLS:
Data Modeling Tools: Erwin Data Modeler 9.7/9.6, Erwin Model Manager, ER Studio v17, and Power Designer.
Cloud Platforms: AWS, EC2, EC3, Redshift & MS Azure
Programming Languages: SQL, PL/SQL, HTML5, XML and VBA.
OLAP Tools: Tableau 7, SAP BO, SSAS, Business Objects, and Crystal Reports 9
Databases: Oracle 12c/11g, Teradata R15/R14, MS SQL Server 2016/2014, DB2.
Operating System: Windows, Unix, Sun Solaris
ETL/Data warehouse Tools:: Informatica 9.6/9.1, SAP Business Objects XIR3.1/XIR2, Talend, and Pentaho.
Methodologies: RAD, JAD, RUP, UML, System Development Life Cycle (SDLC), Agile, Waterfall Model
Big Data technologies: HBase 1.2, HDFS, Sqoop 1.4, Spark, Hadoop 3.0, Hive 2.3, EC2, S3 Bucket, AMI, RDS
Reporting Tools: SSRS, Power BI, Tableau, SSAS, MS-Excel, SAS BI Platform.
WORK EXPERIENCE:
Confidential, Atlanta, GA
Sr. Data Analyst/Data Modeler
Responsibilities:
- As a Sr. Data Analyst/Data Modeler I was responsible for all data related aspects of a project.
- Translated business and data requirements into data models in support of Enterprise Data Models and Analytical systems.
- Created Logical & Physical Data Model on Relational (OLTP) on Dimension tables using Erwin.
- Worked on master data (entities and attributes) and capture how data is interpreted by users in various parts of the organization.
- Conducted JAD sessions with management, vendors, users and other stakeholders for open and pending issues to develop specifications.
- Performed rigorous data analysis and data discovery and data profiling.
- Performed GAP analysis to analyze the difference between the system capabilities and business requirements.
- Used Agile Method for daily scrum to discuss the project related information.
- Maintained Data Mapping documents, Bus Matrix and other Data Design artifacts that define technical data specifications and transformation rules.
- Understand database performance factors and trends pertaining to very large database design.
- Collaborated with DBAs to implement mitigating physical modeling solutions.
- Provided data structures optimized for information entry and retrieval.
- Worked on normalization & De-normalization techniques, normalized the data into 3rd Normal Form (3NF).
- Performed detailed data analysis to analyze the duration of claim processes.
- Implemented Forward engineering to create tables, views and SQL scripts and mapping documents.
- Used reverse engineering to connect to existing database and create graphical representation (E-R diagram).
- Created Hive External tables to stage data and then move the data from Staging to main tables
- Created and maintain the metadata (data dictionary) for the data models.
- Designed OLTP system environment and maintained documentation of Metadata.
- Worked with Data Architects to design and developed architecture for data services ecosystem spanning Relational, NoSQL, and Big Data technologies.
- Worked on AWS Redshift and RDS for implementing models and data on RDS and Redshift
- Monitored the Data quality and integrity of data was maintained to ensure effective functioning of department.
- Used Hive to analyze data ingested into HBase by using Hive-HBase integration andcompute various metrics for reporting on the dashboard
- Extensively involved in PL/SQL programming Stored Procedures, Functions, Packages and Triggers
- Managed database design and implemented a comprehensive Star-Schema with shared dimensions.
- Loaded and transformed large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts.
- Primarily used R packages for the data mining tasks.
- Provided expertise on data storage structures and data mining.
- Created and publish regularly scheduled ad hoc reports as needed.
- Involved in data lineage and Informatica ETL source to target mapping development, complying with data quality and governance standards.
- Wrote and executed unit, system, integration and UAT scripts.
- Assisted in defining business requirements and created BRD (Business Requirements Document) and functional specifications documents.
- Analyze and interpret data results using statistical techniques for ongoing reports.
- Create ad-hoc reports with sensitive data pulled from Microsoft excel while mining more than 40,000 lines of data per report.
- Contributed in all phases of data mining; data collection, data cleaning, developing models, validation and visualization.
- Involved in data pattern recognition and data cleaning.
- Supported development team & QA team during process design and during performance tuning, Test Strategy and test case development.
Environment: OLTP, Erwin v9.7, Agile, Oracle 12c, Big Data 3.0, SQL, XML, Apache Hive, AWS, Python 3.6, Redshift, PL/SQL, 3NF, SSAS, Metadata, ETL, Hbase.
Confidential, Newport Beach, CA
Sr. Data Analyst/Data Modeler
Responsibilities:
- Massively involved as Data Analyst/Modeler role to review business requirement and compose source to target data mapping documents.
- Gather all the analysis reports prototypes from the business analysts belonging to different Business units.
- Interacted with Business Analysts to gather the user requirements and participated in data modeling JAD sessions.
- Created 3NF business area data modeling with de-normalized physical implementation; data and information requirements analysis.
- Worked with Business users during requirements gathering and prepared Conceptual, Logical and Physical Data Models.
- Extensively used Agile methodology as the Organization Standard to implement the data Models.
- Ensured the feasibility of the logical and physical design models.
- Designed logical and physical data models, Reverse engineering, Complete compare for Oracle and SQL server objects using E/R Studio.
- Developed Data Migration and Cleansing rules for the Integration Architecture using OLTP.
- Actively participated in JAD sessions involving the discussion of various reporting needs.
- Created PL/SQL packages and Database Triggers and developed user procedures and prepared user manuals for the new programs.
- Interacted with Business Analyst, SMEs to understand Business needs and functionality for various project solutions.
- Planned and defined system requirements to Use Case, Use Case Scenario and Use Case Narrative using the UML (Unified Modeling Language) methodologies.
- Reverse Engineering the existing data marts and identified the Data Elements (in the source systems), Dimensions, Facts and Measures required for reports.
- Created Entity Relationship Diagrams (ERD), Functional diagrams, Data flow diagrams and enforced referential integrity constraints.
- 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.
- Conduct Design reviews with the business analysts and content developers to create a proof of concept for the reports.
- Wrote PL/SQL statement, stored procedures and Triggers for extracting as well as writing data.
- Worked extensively on Data Migration by using SSIS.
- Developed rule sets for data cleansing and actively participated in data cleansing and anomaly resolution of the legacy application.
- Defined facts, dimensions and designed the data marts using the Ralph Kimball's Dimensional Data Mart modeling methodology using E/R Studio.
- Involved in Data profiling and performed Data Analysis based on the requirements, which helped in catching many Sourcing Issues upfront.
- Developed Data mapping, Transformation and Cleansing rules for the Data Management involving OLTP and ODS.
- Used statistical data methods to analyze data and generate useful business reports while working with quality assurance.
- Responsible for data governance rules and standards to maintain the consistency of the business element names in the different data layers.
- Created data masking mappings to mask the sensitive data between production and test environment.
- Created SSIS package for daily email subscriptions to alert Tableau subscription failure using the ODBC driver and PostgreSQL database.
Environment: PL/SQL, E/R Studio v17, MS SQL 2016, OLTP, ODS, SSIS, Tableau, ODBC, Transact-SQL, TOAD, Teradata r15, SQL Assistant
Confidential, New Albany, OH
Data Modeler
Responsibilities:
- Worked as a Sr. Data Modeler to generate Data Models using E/R Studio.
- Documented Technical & Business User Requirements during requirements gathering sessions.
- Used Agile Method for daily scrum to discuss the project related information.
- Analyzed conceptual into logical data and had JAD sessions and also communicated data related issues and standards.
- Responsible for defining Conceptual Data Model (CDM), Logical Data Model (LDM) and Physical Data Model (PDM) for OLTP systems.
- Designed a STAR schema for sales data involving shared dimensions (Conformed) for other subject areas using E/R Studio.
- Implemented Snow-flake schema to ensure no redundancy in the database.
- Construct complex SQL queries with sub-queries, inline views as per the functional needs in the Business Requirements Document (BRD).
- Analyzed, retrieved and aggregated data from multiple datasets to perform data mapping.
- Involved in designing and developing SQL server objects such as Tables, Views, Indexes (Clustered and Non-Clustered), Stored Procedures and Functions in Transact-SQL.
- Developed scripts that automated DDL and DML statements used in creations of databases, tables, constraints, and updates.
- Involved in modeling business processes through UML diagrams.
- Developed Logical and Physical Data models for the loan Systems by using E/R Studio.
- Conversed with Business Analyst and developers to gather information about the data models (Data Definition) to place the data dictionary in place.
- Supported the DBA to physically implement the tables in both oracle databases.
- Create DDL for /lookup data, online/real-time data (OLTP), and downstream data distribution (OLAP) and SQL components like Stored Procedures, Triggers, Functions, Indexes, ETL Packages with to the defined LDM and PDM.
- Established process on the work flow to create Work flow diagrams using Microsoft Visio.
- Developed the Conceptual Data Models, Logical Data Models and transformed them to creating schema using E/R Studio.
- Forward Engineering the Data Models, Reverse Engineering on the existing Data Models and updates the data models.
- Build and maintain SQL scripts, Indexes, and complex queries for data analysis and extraction.
- Involved in extracting, cleansing, transforming, integrating and loading data into different Data Marts using Data Stage Designer.
- Developed SQL Queries to fetch complex data from different tables in remote databases using joins, database links and bulk collects.
- 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.
- Assisted project with analytical techniques including data modeling, data mining techniques, regression and hypothesis to get output from large data sets.
- Produced data team's weekly newsletters by summarizing data mining results and presenting visualization.
Environment: E/R Studio v13, SQL, SQL server 2014, Transact-SQL, DDL, DML, UML diagrams, OLTP, Microsoft Visio 2014
Confidential
Data Analyst
Responsibilities:
- Performed Data analysis and Data profiling using complex SQL on various sources systems.
- Developed SAS macros for data cleaning, reporting and to support routing processing.
- Created SQL scripts to find Data quality issues and to identify keys, Data anomalies, and Data validation issues.
- Actively involved in writing T-SQL Programming for implementing Stored Procedures and Functions and cursors, views for different tasks.
- Performed Gap Analysis to check the compatibility of the existing system infrastructure with the new business requirement.
- Used MS Visio for business flow diagrams and defined the workflow.
- Wrote SQL Stored Procedures and Views, and coordinate and perform in-depth testing of new and existing systems.
- Experienced in developing business reports by writing complex SQL queries using views, volatile tables.
- Extensively use SAS procedures like means, frequency and other statistical calculations for Data validation.
- Performed Data Analysis and extensive Data validation by writing several complex SQL queries.
- Involved in design and development of standard and ad-hoc reporting using SQL/SSRS
- Identified source databases and created the dimensional tables and checked for data quality using complex SQL queries.
- Responsible for data lineage, maintaining data dictionary, naming standards and data quality.
- Performed Data Manipulation using MS Excel Pivot Sheets and produced various charts for creating the mock reports.
- Used SQL Server and MS Excel on daily basis to manipulate the data for business intelligence reporting needs.
- Performed Data Analysis and Data Profiling and worked on data transformations and data quality rules.
- Extracted data from different sources like Oracle and text files using SAS/Access, SAS SQL procedures and created SAS datasets.
- Conducted data mining and data modeling in coordination with finance manager.
- Developed SQL Joins, SQL queries, tuned SQL, views, test tables, scripts in development environment.
Environment: SQL, SAS macros, T-SQL, MS Visio 2010, MS Excel 2010, SQL Server 2010