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Sr. Data Modeler / Data Analyst Resume

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Seattle, WA

SUMMARY:

  • Process oriented data analyst with 5+ years of experience. Experienced in interpreting and analyzing data to drive growth for a pharmaceutical and Telecom companies.
  • Over 5+ years of experience as a Sr. Data Modeler/Data Analyst with high proficiency in requirement gathering and data modeling.
  • Excellent Knowledge of Ralph Kimball and Bill Inmon approaches to Data Warehousing.
  • Experience in working on Distributed storage for analysis and processing of large data sets using Apache Hadoop.
  • Experience in Designing and implementing data structures and commonly used data business intelligence tools for data analysis.
  • Experienced in ETL using Informatica and Pentaho.
  • Experience working with Agile and Waterfall data modeling methodologies.
  • Extensive experience in using ER modeling tools such as Erwin and ER/Studio, Teradata, BTEQ and MDM.
  • Excellent SQL programming skills and developed Stored Procedures, Triggers, Functions, Packages using SQL, PL/SQL.
  • Experience in Data transformation and Data mapping from source to target database schemas and also data cleansing. Worked on those functions using Informatica and Pentaho.
  • Expertise on Relational Data modeling (3NF) and Dimensional data modeling.
  • Hands on experience in Normalization and Denormalization techniques for optimum performance in relational and dimensional database environments.
  • Good understanding and hands on experience in setting up and maintaining NoSQL Databases like Cassandra, MongoDB, and HBase.
  • Sound knowledge in Data Analysis, Data Validation, Data Cleansing, Data Verification and identifying data mismatch.
  • Extensive knowledge of Big data, Hadoop, MapReduce, Hive, NoSQL Databases and other emerging technologies.
  • Very good experience and knowledge on Amazon Web Services: AWS Redshift, AWS S3 and AWS EMR.
  • Proficient in data mart design using dimensional data modeling - identifying Facts and Dimensions, Star Schema and Snowflake Schema.
  • Proficient in Software Development Life Cycle (SDLC), Project Management methodologies, and Microsoft SQL Server database management.
  • Experience in data analysis, data migration and data modeling activities.
  • Hands on experience with modeling using Erwin in both forward and reverse engineering processes.
  • Strong experience in using MS Excel and MS Access to dump the data and analyze based on business needs.
  • Experience designing security at both the schema level and the accessibility level in conjunction with the DBAs
  • Extensive experience on usage of ETL & Reporting tools like SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS) and Informatica.
  • Efficient in implementing Normalization to 3NF/ De-normalization techniques for optimum performance in relational and dimensional database environment
  • Solid understanding of Data Governance, Meta Data, Data Management and control; Adept in Data warehouse and Data mart architecture.
  • Strong background in data processing, data analysis with hands on experience in MS Excel, MS Access, Unix and Windows Servers.

EXPERIENCE:

Sr. Data Modeler / Data Analyst

Confidential, Seattle, WA

  • As a Sr. Data Modeler / Data Analyst I was responsible for all data related aspects of a project.
  • Massively involved in Sr. Data Modeler / Data Analyst role to review business requirement and compose source to target data mapping documents.
  • Analyzed business requirements, system requirements, and data mapping specification requirements.
  • Extensively used Agile methodology as the Organization Standard to implement the data Models.
  • Presented the data scenarios via, ER/Studio logical models and excel mockups to visualize the data better.
  • Performed end to end ETL including the mapping and transformations in the transformation layer using Informatica.
  • Designed and Developed logical & physical data models and Meta Data to support the requirements.
  • Performed Data Analysis and data profiling using complex SQL on various sources systems including Oracle.
  • Involved in extensive Data validation using SQL queries and back-end testing
  • Generated DDL statements for the creation of new ER/studio objects like table, views, indexes, packages and stored procedures.
  • Used SQL for Querying the database in Unix environment.
  • Worked on AWS Redshift and RDS for implementing models and data on RDS and Redshift
  • Designed Star and Snowflake Data Models for Enterprise Data Warehouse using E/R Studio.
  • Documented data dictionaries and business requirements for key workflows and process points.
  • Designed the data marts using the Ralph Kimball's Dimensional Data Mart modeling methodology using E/R Studio.
  • Designed both 3NF data models for ODS, OLTP systems and dimensional data models.
  • Worked on Normalization and Denormalization techniques for both OLTP and OLAP systems.
  • Designed ER diagrams and mapping the data into database objects.
  • Monitored the Data quality and integrity of data was maintained to ensure effective functioning of department.
  • Worked with MDM systems team with respect to technical aspects and generating reports.
  • Assisted in the oversight for compliance to the Enterprise Data Standards, data governance and data quality.
  • Developed complex T-Sql code such as Stored Procedures, functions, triggers, Indexes, and views for the business application.
  • Designed and developed cubes using SQL Server Analysis Services (SSAS) using Microsoft Visual Studio.
  • Involved in complete SSIS life cycle in creating SSIS packages, building, deploying and executing the packages all environments.
  • Developed reports for users in different departments in the organization using SQL Server Reporting Services (SSRS)
  • Used ER/Studio for reverse engineering to connect to existing database and ODS.
  • Created graphical representation in the form of Entity Relationships and elicit more information.

Environment: Agile, ER/Studio v17, Oracle 12c, Unix, AWS, Amazon Redshift, OLTP, OLAP, NoSQL, MDM, T-Sql, SSAS, Microsoft Visual Studio 2016, SSIS, SSRS, Informatica

Sr. Data Analyst

Confidential

  • Developed full life cycle software including defining requirements, prototyping, designing, coding, testing and maintaining software.
  • Involved in story-driven Agile development methodology and actively participated in daily scrum meetings.
  • Used methodology as the Organization Standard to implement the data Models.
  • Designing the architecture of the data warehouse after understanding and analyzing the legacy databases.
  • Analyze data and provide insights and interpretation of trends for decision makers.
  • Generated various dashboards as per the requirements, which were used by management to make key business decisions
  • Involved in requirement gathering and database design and implementation of star-schema, snowflake schema/dimensional data warehouse using ER/Studio.
  • Conducted JAD sessions, wrote meeting minutes and also documented the requirements.
  • Collected requirements from business users and analyzed based on the requirements.
  • Involved in extensive Data validation by writing several complex SQL queries.
  • Involved in back-end testing and worked with data quality issues.
  • Involved in developing the data warehouse for the database using the Ralph Kimball's Dimensional Data Mart modeling methodology.
  • Worked on Data modeling, Advanced SQL with Columnar Databases using AWS
  • Migrated reference data from existing product into Informatica MDM hub.
  • Worked with Hadoop eco-system covering HDFS, HBase, Yarn and MapReduce.
  • Generated comprehensive analytical reports by running SQL queries against current databases to conduct Data Analysis.
  • Worked with data compliance teams, Data governance team to maintain data models, Metadata, Data Dictionaries.
  • Developed and maintained Data Dictionary to create Metadata Reports for technical and business purpose.
  • Worked on Performance Tuning of the database which includes indexes, optimizing SQL Statements.
  • Developed various QlikView Data Models by extracting and using the data from various sources files Excel, Flat Files and Big data.
  • Generated multiple ad-hoc Python tools and scripts to facilitate map generation and data manipulation.

Environment: ER/Studio, Microsoft SQL Server, MySQL, SAS, Amazon Redshift, MDM, HDFS, HBase, Yarn, MapReduce, OLTP, OLAP, Metadata, MS Excel, QlikView, Crystal Reports

Data Analyst

Confidential

  • Worked with Data Analyst for requirements gathering, business analysis and project coordination.
  • Work with the Data Analysis team to gathering the Data Profiling information
  • Responsible for the analysis of business requirements and design implementation of the business solution.
  • Performed Data Analysis and Data validation by writing SQL queries using SQL assistant.
  • Translated business concepts into XML vocabularies by designing XML Schemas with UML
  • Gathered business requirements through interviews, surveys with users and Business analysts.
  • Worked on Data Mining and data validation to ensure the accuracy of the data between the warehouse and source systems.
  • Developed SQL Queries to fetch complex data from different tables in databases using joins, database links.
  • Involved in designing and developing SQL server objects such as Tables, Views, Indexes (Clustered and Non-Clustered), Stored Procedures and Functions in Transact-SQL.
  • Participated in JAD sessions, gathered information from Business Analysts, end users and other stakeholders to determine the requirements.
  • Performed Data analysis of existing database to understand the data flow and business rules applied to Different databases using SQL.
  • Performed data analysis and data profiling using complex SQL on various sources systems and answered complex business questions by providing data to business users.
  • Performed the detail data analysis, Identify the key facts and dimensions necessary to support the business requirements.
  • Generated Data dictionary reports for publishing on the internal site and giving access to different users.
  • Used MS Visio and Rational Rose to represent system under development in a graphical form by defining use case diagrams, activity and workflow diagrams.
  • Wrote a complex SQL, PL/SQL, Procedures, Functions, and Packages to validate data and testing process.
  • Worked in generating and documenting Metadata while designing OLTP and OLAP systems environment.
  • Worked in data management performing data analysis, gap analysis, and data mapping.
  • Established a business analysis methodology around the RUP (Rational Unified Process)
  • Developed stored procedures in SQL Server to standardize DML transactions such as insert, update and delete from the database.
  • Created SSIS package to load data from Flat files, Excel and Access to SQL server using connection manager.
  • Develop all the required stored procedures, user defined functions and triggers using T-SQL and SQL.
  • Produced report using SQL Server Reporting Services (SSRS) and creating various types of reports.
  • Generated multiple ad-hoc Python tools and scripts to facilitate map generation and data manipulation.

Environment: SQL, SQL server, PL/SQL, MS Visio, Rational Rose, SSIS, T-SQL, SSRS

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