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.