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Data Engineer Resume

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Lyndhurst, NJ

SUMMARY

  • Honors graduate of Confidential BS in Environmental Science worked on several project including a functional including a series of web pages for a dissertation.
  • Consistently recommended by professors and thesis supervisor to assist other students with IT related projects ; strong understanding of Web Fundamentals (HTML, CSS and Javascript); and hardware troubleshooting.
  • Known as a self - starter, team player and multitasker; strive to consistently exceed expectations.

TECHNICAL SKILLS

Programming/Languages: T-SQL, C#, XML, Python, HTML5/CSS

Databases: MySQL, Amazon Redshift, Oracle, MS Access

ETL Applications: SSIS, SSMS, SAS, Matillion, Hadoop, Talend

Tools: Visual Studio, AWS, S3, RDS, Apache, MS Word, Excel, PowerPoint, Outlook, etc.

Operating Systems: All versions of Windows including Server 2008, Mac OS X

PROFESSIONAL EXPERIENCE

Confidential — Lyndhurst, NJ

Data Engineer

Responsibilities:

  • I facilitated on-boarding clients such as Confidential and Confidential by creating ETL processes in SSIS for their membership and claims data in support of the SmartShopper product.
  • Built Functions and Stored Procedures in Visual Studio using C#
  • I built a ‘Mock Shopping’ tool which used our existing API to utilize our transactional database. dis provided more accurate savings projection for potential clients.
  • Took on responsibilities as DBA; I many responsibilities including scheduling back-ups, new database architecture, performance tuning and modified users permissions.
  • I regularly assisted the reporting department to generate various metrics around product TEMPeffectiveness in SSRS.

Confidential — Long Island, NY

Data Analyst II

Responsibilities:

  • Processed vast datasets related to hospital transparency reporting from dozens of states including NY, CA, TX, TN and IL.
  • Executed SQL query optimization analysis and minimized call time by indexing tables.
  • Lead the company from a MySQL database structure toward an AWS Redshift data warehouse.
  • Used Amazon’s Could services such as S3 Buckets to ingest data from many heterogeneous sources as well as identifying data patterns through data analysis.
  • Was responsible for ETL and data validation using Matillion for Redshift.
  • Analyzed Big Data to generate reports tracking the relative performance of health providers.

Confidential

Data Processor

Responsibilities:

  • National Fraud Initiative: The NFI is a computerized data matching exercise used to detect housing benefit, payroll and other frauds perpetrated upon both public and private sector organizations.
  • Worked with SQL and MS Access queries to clean and streamline data for analysis.
  • Redesigned Internet and intranet pages. Assisted in optimizing website for internal search engine and improved functionality of company database.

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