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Sql Developer Resume

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Washington, DC

SUMMARY:

  • Over 8 years of experience in Data Warehouse Architecture and Design, Analysis, Dimension Modeling, Business Intelligence strategy, Development, Testing and Implementation.
  • Expertise in designing, developing and deploying Business Intelligence solutions using SSIS, SSRS and SSAS 2008 R2/2012.
  • Extensive experience in generating on - demand and scheduled reports/dashboards from both relational databases and OLAP cubes using SQL Server Reporting Services (SSRS) and Tableau.
  • Experience in designing, creating, processing of cubes using SSAS.
  • Extensive experience in developing Stored Procedures, Views, Triggers, XML and Complex SQL Queries on SQL Server 2008 R2/2012.
  • Experience in designing Star schema and Snowflake schema with Facts, Dimensions, Measures and Cubes using Erwin.
  • Extensive experience in Health Care, Finance, Insurance domain and government projects.
  • Exposure in using Team Foundation Server as a source control, source repository and project tracking solution.
  • Excellent analytical and problem solving skills.
  • Excellent written and verbal communication skills.

TECHNICAL SKILLS:

ETL/BI: SSAS, SSIS, SSRS 2005/2008 R2/2012, DTS, SQL Server BI Development Studio (BIDS), Tableau, crystal Reports, Performance Point, Power View

Tools: Erwin 7.2, ER/Studio, Visual Source Safe (VSS), Team Foundation Server (TFS), SQL Profiler, Microsoft Office, Visio, Microsoft SharePoint

Databases: Microsoft SQL Server, Oracle 9i/10g, DB2, Microsoft Access, Flat file systems

Languages: SQL, PL/SQL, T-SQL, shell scripting, C, C++, Java, J2EE, Visual Basic

Domain: Finance, Banking, Healthcare, Insurance and Government projects

PROFESSIONAL EXPERIENCE:

Confidential

SQL Developer

Responsibilities:

  • Extensively worked with the business analysts in requirements gathering and to translate business requirements into technical specifications.
  • Responsible for Dimensional Data Modeling and populating the business rules into the repository for Meta Data management.
  • Used ETL to implement Slowly Changing Dimension to maintain historical data in Data Warehouse.
  • Involved in writing MDX queries and performance optimization of the SSAS cubes.
  • Performed data consistency check and Performance tuning.
  • Used tools like SQL Profiler, Performance Monitor to find out performance issues with queries or applications
  • Created SSIS Packages to load data from Sources like Excel, Oracle and SQL Server.
  • Wrote numerous stored procedures to perform data cleaning/loading task once data is loaded into staging area.
  • Created reports by extracting data from cube and wrote mdx scripts.
  • Created data mining structures.
  • Generated Dashboards from OLTP and OLAP data sources using SQL Server Reporting Services 2012, Performance Point and Tableau.

Confidential, Washington DC

ETL Developer

Responsibilities:

  • Extensively worked with the business and data analysts in requirements gathering and to translate business requirements into technical specifications.
  • Responsible for design, development, and implementation of ETL processes using SSIS
  • Extensively used Erwin tool in Forward and reverse engineering, following the Corporate Standards in Naming Conventions, using Conformed dimensions whenever possible.
  • Implemented multidimensional cubes with MDX calculations to support analysis needs and fast data retrieval.
  • Generated reports using SQL Server Reporting Services 2008 from OLTP and OLAP data sources.
  • Designed and deployed reports with Drill Down, Drill Through and Drop down menu option and Parameterized and Linked reports.
  • Performed unit testing, system testing and user acceptance testing of reports.
  • Deployed and scheduled Reports using SSRS to generate all daily, weekly, monthly and quarterly Reports including current status.
  • Prepared Layouts by placing the fields in appropriate places according to the requirement of the final Report.
  • Created report models and deployed them on the report server.
  • Created standard report Subscriptions and Data Driven report Subscriptions
  • Created report snapshots and cache for better performance.
  • Used Notification services to generate error messages and send them to the user through e-mails and pager messages.
  • Created ad-hoc reports, drill down, and drill through reports.
  • Deployed reports on Microsoft office SharePoint (Moss).

Confidential

Lead ETL Developer

Responsibilities:

  • Business Reporting Requirements gathering and analysis.
  • Responsible for Dimensional Data Modeling and populating the business rules into the repository for Meta Data management.
  • Involved in writing MDX queries and performance optimization of the SSAS cubes.
  • Responsible for Developing OLAP Cubes, Data Source View, Partitions of queries with MDX.
  • Created reports using SSRS from OLTP and OLAP data sources and deployed on report server.
  • Created tabular, matrix, chart, drill down reports, parametric, cascaded reports and dashboards and scorecards reports according to business requirement.
  • Deployed the generated reports directly on the client’s workstation.
  • Created complex Stored Procedures for better performance in generating reports.
  • Created dashboards and scorecards using charts.
  • Deployed reports on share point performance server.
  • Created standard and data driven Subscriptions and used report manager.
  • Created report model for Ad-hoc reports and generated reports in XML format.
  • Used Team Foundation Server (TFS) for version control, source control and reporting.
  • Prepared documentation for all kinds of reports and DTS and SSIS packages.
  • Trained and mentored internal staff on data warehousing.

Confidential

ETL Developer

Responsibilities:

  • Translated the business requirements into technical specifications to build the Enterprise data warehouse.
  • Involved in System Study analysis for logical/physical data model there by defining strategy for implementing Star Schema with Fact and Dimension tables.
  • Created and scheduled various SSIS packages with embedded business logic.
  • Increased query performance by 20%, which is necessary for statistical reporting after monitoring, tuning, and Optimizing Indexes by using Performance Monitor and SQL Profiler. Reduced and obliterated unnecessary joins and indexes.
  • Developed and modified the existing reports from basic Chart and tabular to parameterized reports including Single/Multi/Boolean valued parameters and linked reports based on new business logic.
  • Used sub reports functionality for complex report calculations.
  • Created parameterized reports passing parameter through report screen.
  • Rendered reports in different formats like pdf and excel to be executed automatically on weekly or monthly basis and managed subscriptions.
  • Analyzed the Performance of a Cube by partitioning it and creating Perspective Cubes.
  • Documented all database objects, procedures, views, functions & packages for future s.

Confidential

ETL Developer

Responsibilities:

  • Created ETL packages using SSIS to extract data from relational database and then transform and load into the data mart.
  • Used ETL to implement Slowly Changing Dimension to maintain historical data in Data Warehouse.
  • Implemented replication in SQL Server for managing and scaling databases in an enterprise environment.
  • Designed and implemented Dimensions, Measures and Cubes according to business requirement using sql server analysis services (SSAS 2005).
  • Created Reports in SSRS with different type of properties like Chart controls, filters, Interactive sorting and SQL parameters.
  • Created Dashboards in SSRS 2005.
  • Deployed and scheduled Reports using SSRS to generate all daily, weekly, monthly and quarterly Reports including current status.
  • Increased query performance necessary for statistical reporting by more than 25% after using Execution plan, Performance Monitor, Profiler, and Index tuning wizard.
  • Created Datasets in T-SQL, stored procedures for SSRS.
  • Developed SQL queries and supported ad hoc requests for data.
  • Involved in troubleshooting data quality issues in reports and resolving them.

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