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Business Intelligence Engineer Resume

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Seattle, WA

SUMMARY:

  • Technically sophisticated engineering professional with solid history of AWS Services, SQL queries, data analysis, report generation, and technical documentation within fiercely competitive business environments.
  • Broad knowledge and success in an engineering development environment. Proficient Confidential identifying, sifting, and analyzing relevant data, and then leveraging it to drive improvement throughout all systems affecting operations.
  • Skilled trainer and project leader; able to direct multiple tasks effectively and readily master innovative software and tools.
  • Designing & Implementation/Schedule & Execution / Project Management / User Training and Support
  • Data integrity / Troubleshooting & Issue Resolution

TECHNICAL PROFICIENCIES:

Tools: AWS Services (Redshift, Kinesis, EMR, S3, CloudFormation, CodeDeploy, Lambda, IAM, EC2), GitHub, Tableau, PowerBI, MS SQL Server

Languages: Python, Ruby, Java, SQL (Redshift, Oracle, Confidential - SQL, Spark), HTML, CSS, scikit-learn, and Pandas

PROFESSIONAL EXPERIENCE:

Confidential, Seattle, WA

Business Intelligence Engineer

Responsibilities:

  • Contribute to design, business cases, and technical document with programming and scripting using Python.
  • Designed and managed AWS services (Redshift, S3), implement design enhancement and changes requested by business community.
  • Developed applications that interacted and tested the accuracy of RESTful APIs (JSON, XML, YAML formats) and other microservices.
  • Spearheaded designing and development of Redshift SQL queries with training and supervision of junior employees on handling all related work.
  • Built automated and scalable solutions to replace and reduce time cycles of manual reporting.
  • Developed data warehousing solutions, data models, and entity relations diagrams.

Business Analyst

Confidential

Responsibilities:

  • Developed reports by gathering requirements from users, performed ad-hoc analysis, and provided data extracts to users when requested.
  • Trained peers on working with Redshift SQL queries after designing and developing them.
  • Monitored and reported on client problems and resolved every query presenting several solutions.
  • Formed business use cases from innovative perceptions by collaborating with multiple teams.

HR Analyst

Confidential

Responsibilities:

  • Utilized Oracle to form SQL query and AWS Redshift to build ad-hoc reports, supported day-to-day HR operations through data analysis, and reporting.
  • Used ElasticSearch and Kibana to build visualization dashboards; reviewed and made recommendations for improvement to benefits and vacation systems.
  • Provided support by creating technical documents to assist peers in training them to use AWS Redshift and SQL queries.

Confidential, Seattle, WA

Data Administrator

Responsibilities:

  • Applied and followed data standards of the organization to deliver exceptional services and maintain quality services.
  • Developed and used SQL queries for data validation and cleaning.
  • Maintained data accuracy and integrity by cooperating with customers and ensured safety of data.

Confidential, Bothell, WA

Technical Intern

Responsibilities:

  • Implemented Agile Software Development methodologies to develop number of software and applications.
  • Coordinated all activities of multiple projects by cooperating with project managers, owners, and application developers to achieve goals.

Confidential, Seattle, WA

Corporate Buyer/Data Analyst

Responsibilities:

  • Coordinated with Executive level management to negotiate purchase orders and cooperated with business users to establish strategies to improve sales and inventory.
  • Reduced the number of records in the database 27% by analyzing and removing redundant data.
  • Creating Ad Hoc reports using Confidential -SQL and analyzed utilizing MS Excel pivot tables.
  • Reduced inventory 20% by increasing efficiency in purchasing and inventory management.

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