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Azure Data Engineer Resume

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New York, NY

SUMMARY

  • Experienced in delegating and coordinating development and testing with the Teams
  • 4 + Years of Data Integration/ETL development experience
  • 3+ Years of ETL design using Microsoft SSIS
  • 3+ Years of SQL Server Experience with versions 2014 and/or 2016/2017
  • 3+ Years of BI reporting tools
  • Understanding of Enterprise Data warehouse data models and dimensional modeling concepts, source to target mapping and Data Integration architecture
  • MS Office Suite, MS Visio

TECHNICAL SKILLS

  • SQL Server 2014/2016/2017 , SQL Server Integration Services (SSIS), Azure SQL Database, Azure SQL Datawarehouse, Ploybase, Azure Data Factory, Azure Storage ( Blob), Azure Data Lake, Azure Resource Management Templates (ARM), Microsoft Visual Studio/SSDT, AzCopy, Azure Storage Explorer, PowerBI Desktop

PROFESSIONAL EXPERIENCE

Confidential, New York, NY

Azure DATA ENGINEER

Responsibilities:

  • Create and maintain optimal data pipeline architecture on Azure platform
  • Develop batch processing solutions by using Data Factory
  • Ingest data using Polybase
  • Implement Azure Data Factory pipelines, Triggers and Integration Runtime
  • Assemble large, complex data sets that meet functional / non - functional business requirements.
  • Design relational and non-relational data stores on Azure
  • Design security for source data access. Chose the appropriate authentication mechanism, such as access keys, shared access signatures SAS), and Azure Active Directory (Azure AD)
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Confidential, Dearborn, MI

SSIS DEVELOPER

Responsibilities:

  • Developing data links and data loading scripts, including data transformations, reconciliations and accuracies
  • Have a participated in all phases of Software Development Lifecycle (SDLC)
  • Have advanced knowledge of T-SQL, ETL and Data Warehousing
  • Designing BI solutions with Microsoft SQL Server 2014 / 2016
  • Building state-of-art reports that deliver information in a user-friendly and efficient way
  • Querying Microsoft SQL Server 2014 / 2016
  • Looking for root causes in case of solution failures

Confidential, OK

SSIS DEVELOPER

Responsibilities:

  • Follows change management process to resolve application defects or to implement development enhancements
  • Identify problems, develop ideas and propose solutions within differing situations requiring analytical, evaluative or constructive thinking in daily work
  • Document designs and architect data maps, develop data quality components and establish and/or conduct unit tests
  • Create/maintain design related artifacts i.e. data models, Mapping documents, architecture diagrams, data flow diagrams
  • Assist business team with BI reporting in conjunction with ETL workload
  • Evaluating data file submissions and developing/maintaining SSIS packages for ETL processes
  • New development as scoped and requested by the business

Confidential, El Dorado, AR

JUNIOR SSIS DEVELOPER

Responsibilities:

  • Communicating design and other technical information both verbally and in written format
  • Create source to target mappings and ETL design for integration of new/modified data streams into the data warehouse/data marts
  • Proficient in leading and managing the development resources
  • Create Dimensional models using ERWIN or other data modeling tools
  • Proactive and diligent in identifying and communicating scope, design, development issues and recommending potential solutions
  • Designe, develop, modify, test, implement, and document applications upgrades
  • Perform Data profiling and analysis of structured and unstructured data
  • Deliver projects/work on-time, on-budget, and in a way that accomplishes client goals

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