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Data Engineer Resume

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SUMMARY

  • Experience in data modeling, dimensional modeling, SQL programming, data analysis and reporting
  • Over 5 years developing databases and building warehouses/ data marts for transactional and analytical purposes
  • Knowledge and experience in building data and business intelligence solutions at an enterprise level
  • Multiple years of experience designing and maintaining ETL solutions using S.S.I.S
  • Knowledge and experience in building robust and scalable data models for transactional / reporting purposes
  • Proficient in Structured Query Language (SQL) and Data Analytic Expressions (DAX)
  • 5 years of experience building analytical solutions using MS PowerBI and Excel.
  • Familiar with various development tools such as SQL Server Management Studio (SSMS), Visual Studio and Git

PROFESSIONAL EXPERIENCE

Confidential

Data Engineer

Responsibilities:

  • Architected and designed multiple data marts and data warehouses to support operational and analytical reporting purposes; Created Bus matrix, dimensional models, and physical models
  • Developed and maintained customized Extract - Transform-Load (ETL) processes using S.S.I.S to refresh organization’s data marts and data warehouse from transactional data sources
  • Participated in all phases of the development lifecycle for new subject areas; gathered requirements, analyzed data quality and business rules, dimensional modeling and database architecture, developed Extract-Transform-Load (ETL) processes, and data presentation to the end-user.
  • Created numerous simple to complex queries involving joins, CTE, cross and outer apply Pivot, correlated sub-queries, cursors and JSON to accomplish various business requirements.
  • Created stored procedures, triggers, functions and table types to support enhancements to existing transactional and OLAP systems.
  • Implemented change tracking mechanism using CDC (Change data capture) on transactional databases
  • Created business and technical documentation for knowledge transfer and provide understanding into reports artifacts and data sources
  • As part of a team, refactored parts of the enterprise data warehouse for scalability and performance purposes
  • Designed and implemented appropriate indexes on dimensions and facts tables for performance purposes
  • Performed query optimization of slowly running queries using indexing strategies and code re writes.
  • Re Architected the data extraction and delivery process to external clients; Data is retrieved from disparate sources, transformed and sent via secured FTP processes to internal and external clients
  • Provided production support for mission critical transactional databases.

Confidential

Associate Data Engineer

Responsibilities:

  • Designed and implemented data warehouse architecture using dimensional modelling techniques
  • Participated in all phases of the development lifecycle for a new subject area; gathered requirements, analyzed data quality and business rules, dimensional modeling and database architecture, developed Extract-Transform-Load (ETL) processes, and data presentation to the end-user.
  • Performed data mapping, data validation and migration of data from a legacy system to Microsoft SQL Server
  • Created numerous simple to complex queries involving joins, CTE, cross and outer apply Pivot, correlated sub-queries, cursors and JSON to accomplish various business requirements.
  • Extracted, transformed and aggregated data from multiple data sources into data marts using SSIS
  • As part of a team, created SSIS package templates with customized logging and error handling options.
  • Refactored multiple manual report generation processes by automating data retrieval, transformation and delivery using SSIS and Excel
  • Developed stored procedures, triggers, user defined functions and views to implement business logic in transactional databases.

Confidential

Data Analyst

Responsibilities:

  • Built Pivot tables and charts using Excel to showcase behavioral activities over time for residents .
  • Created advanced Excel formulas to extract pertinent data from worksheets and to transform data (Data Cleansing) prior to loading into models for reporting purposes.
  • Performed root cause analysis using SQL to uncover underlying data issues in Excel reports and dashboards.
  • Leveraged data visualization tools (Excel) to support data analysis in the development of standard and Ad hoc report.
  • Maintained documentation related to reporting platform guidelines, methods and standards.
  • Created and maintained highly visible Excel based reports and dashboards for analytical purposes.
  • Created multiple T-SQL queries to analyze, troubleshoot, and cleanse data used for reporting purposes.
  • Collaborated with business units to design custom reporting solutions that matched their needs with current business objectives.
  • Followed proper procedures in emergency situations and responds promptly and positively to resident requests for assistance-including emergency pull cords, telephone calls, and requests from family and friends.

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