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Data Engineer Resume

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SUMMARY

  • Data Engineer; Data and Business Analyst/Consultant with extensive experience, able to fill a unique technical role. Have several years of technical experience, with emphasis in Systems Analysis (IT), Database Design and Analysis, and Software Development. Extremely competent in ETL processes, including the extraction and transformation of data into a ready - to-consume format used to assess business needs and deliver effective solutions.
  • Excellent querying knowledge of advanced SQL Queries, Subquery, Joins, SQL Operators. Experienced working in cross-functional environments, have proposed and delivered solutions in all stages of the Software Development Lifecycle, with wide-ranging knowledge and application of life-cycle processes and supporting methodologies (i.e. Agile/Scrum, Waterfall, Hybrid).
  • Well-versed with technical tools such as Microsoft Azure Cloud Services, SQL Server Management Studio and supporting processes. Developed CustomVision.AI models; performed research and development to apply AI technologies to solve business problems.
  • Routinely collaborate with software architects and developers, acting as the liaison between the development team and stakeholders/end-users. Have excellent verbal and written communication skills, regularly serving in a lead role to provide customer and technical interface and training. Skilled in forensic work with source code to trace and reproduce errors. Skilled in creating Test Cases and Auditing Releases

TECHNICAL SKILLS

  • Azure, GCP, Custom Vision AI, AutoML, Computer Vision, Machine Learning,, AI Model Development,MySQL, Python, Jira, Confluence, Visual Studio, XML, JSON, Omniture, PowerBI
  • Business Objects, Tableau, Oracle SmartView, Oracle ERP, TAI, SAP Ariba, Salesforce Peoplesoft HRMS, Internet Analysis, Service Level Agreement Analysis, Google Analytics
  • Yahoo Advertising and Analytics, International (Quebec, Canada) Forensic Data Analysis, International (Mexico) Financial Engineering
  • Microsoft Office Suite: (Exchange, SharePoint, Access, Excel, Visio, Word, PowerPoint, Outlook)

PROFESSIONAL EXPERIENCE

Confidential

Data Engineer

Responsibilities:

  • Plan, Develop, Test and Implement SCE Mobile Application for Field Inspectors
  • Develop, Test and Deploy Artificial Intelligence Models
  • Create Strategy and Design for Application Data Capture Architecture
  • Design SQL Database and Build Out Data Warehouse to Support Application
  • Perform Forensic Work to Identify Source Code Responsible for Bugs
  • Coordinate with Multiple Stakeholders to Determine Business Needs for New Features in Mobile Application
  • Create Reporting Infrastructure for Stakeholders
  • Work to Develop Data Strategies for Grid Ops- Migrating Data to Systems for Reporting
  • Performed Forensic Audit to Determine Variables Blocking Data Sync
  • Data Subject Matter Expert Across Organization
  • Successfully Manage Multiple Projects Simultaneously

Confidential, CA

Business Intelligence Developer

Responsibilities:

  • Recommended Development of New Code or Reuse of Existing Code
  • Provided Technical Assistance and Assisted in Solving Programming Problems
  • Prepared Project Plans Using Project Management Tools
  • Improved Performance of Stored Procedures
  • SQL Development - Writing Transact SQL Code
  • Deploying Environments/Application- Fixes, Patches and Improvements
  • Performing Environments/Applications Upgrades

Confidential

Business Data Analyst

Responsibilities:

  • Provided Software Product Support for Internal Commerce Automation Software Platform
  • Analyzed batches for errors and missed opportunities
  • Created middleware tools with Python, MySQL and MS Excel to keep batches functional
  • Worked closely with Development and Engineering Departments to inform code direction
  • Created and loaded tables in MYSQL to perform analysis requested from Customers and Partners
  • Created queries in MySQL to find insights and solve problems for Big Data sets
  • Deconstructed complex discount code logic to determine accuracy
  • Pulled data using SQL queries & subqueries in MS SQL Server database and performed various data manipulation operations; further used the data to build analytical reports.
  • Trained Business Operations on methodology of discount logic for the purpose of satisfying customer inquires
  • Created reports for explanation of error generating activities and modified or repaired code strings associated with error generating activities
  • Create Confluence Pages for Documentation and Training
  • Analyzed XML Code for errors
  • Analyzed JSON for errors
  • Business Acceptance Testing

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