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Data Systems Engineer Resume

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SUMMARY

  • Professional Data Management Analyst with exceptional experience in data trends and able to manage large databases of information.
  • Strong foundation in software engineering and programming principles across multiple platforms.
  • Adept at utilizing computer productivity software, gathering data from multiple sources and working with management to develop helpful reports.
  • Extensive experience in data analysis, data manipulation, database statistics, statistical research, system study, documentation, and programming.
  • Experience in object - oriented programming, developing, testing, and debugging code.
  • Outstanding database and statistical proficiency with excellent communication and interpersonal skills.

AREAS OF EXPERTISE

  • Data Management
  • Big Data Analytics
  • Goal Setting
  • Process Implementation
  • Strategic Planning & Analysis
  • Cross-Functional Skills
  • Communication
  • Machine Learning
  • Database Development

TECHNICAL SKILLS

Proficient in: Python, R Studio, Django, Java, D3, jQuery, JSON, C/C++, CSS, UML

Working exposure to: C#, Intel/ARM CPU Assembly, Node JS, MapReduce

Database: Oracle, Postgres, MongoDB, Cassandra, MySQL, and Microsoft SQL

Platforms: MSWindows, Mac O/S, Ubuntu, CentOS, Linux, Hadoop

PROFESSIONAL EXPERIENCE

Confidential

Data Systems Engineer

Responsibilities:

  • Service data retrieval software and web based monitoring tools using Python and Django.
  • Manage the centralized server data archive; this includes both manual ingestion and automated data pulls.
  • Develop ETL tools to data analytics applications using Python, Django, and D3.
  • Keep detailed documentation for data systems management and application development lifecycle using GitLab.
  • Translate IDL (scientific programming language used by NASA) code to Python code for data processing.
  • Provide network administration for a centralized sever network of 12+ data systems running Ubuntu/CentOS virtual machine using VMware administration tools.
  • Coordinate all data product automation processes; including scheduling, and the implementation of any required supporting/processing scripts/tools.
  • Develop backend data/software systems for newly designed instruments.

Confidential

Data Manager

Responsibilities:

  • Implemented a process to collect and de-identify health information from electronic medical records (EMRs) from practices participating in the project.
  • Facilitated and deployed a web portal as a central repository for participating physicians to access their feedback reports, the portal was presented at the 60th Annual Scientific Assembly, Alberta College of Family Physicians in Banff, AB.
  • Completed unique and anonymized algorithms which allow a Prescribed Entity to reliably re-identify patients in the database, using Python and MSSQL Server.
  • Customized physician-specific disease “fingerprints” to accurately identify chronic disease patients using Machine Learning algorithms in R Studio.
  • Designed data query templates in the EMR to allow for consistent repeatable data extractions.
  • Developed processes to clean and structure the data into the entity-relationship diagram (ERD) and submit the clean and structured data to a repository.
  • Generated design specifications and implements an automated, EMR-specific data extraction, anonymization, and ETL tools.
  • Troubleshoot and maintained code for all users across the project.
  • Ensured compliance with timelines, regulatory and privacy laws regarding the electronic transfer, storage and use of health information and clinical data.
  • Collaborated with the senior CPCSSN’s national project Data Manager to establish standard operating procedures for data verification and auditing while conducting regular audits at the local network sites.
  • Participated in project planning and management through attendance at the national Data Manager meetings while aiding with the development of strategies to establish and maintain a central data repository.
  • Aided in the design of ethical and technical guidelines for extraction, transmission, and storage of confidential patient/provider data.

Confidential

Data Systems Coordinator

Responsibilities:

  • Served as system administrator for a group of 15 RedHat Linux/Ubuntu/Windows servers for medical research.
  • Setup a Hadoop cluster of 6 computing nodes.
  • Developed code for data collection projects according to functional requirements using C/Python.
  • Provided support/training to internal and external Faculty of Medicine research clients.
  • Constructed software engineering documentation using UML diagrams for software requirements, ER, use-case, activity, class, and business processes diagrams.
  • Backup and migrate data/databases (MySQL) and applications between servers for REDCap/iDataFax.
  • Tested software and maintained code documentation repository using GitLab.

Confidential

IT Security Specialist

Responsibilities:

  • Completed day to day access control for the PeopleSoft applications with an emphasis on security maintenance, testing, documentation, and production support.
  • Coordinated activities with multiple departments to meet compliance with established policies and procedures.
  • Administered PeopleSoft access control across multiple instances, including development, test, or production.
  • Utilized knowledge of PeopleSoft security, delivering functionality including user profiles, roles, permission list, and portal security.
  • Resolved reported problems pertaining to the PeopleSoft applications access control and integrity, identify the cause, and design an approach for resolution.
  • Integrated PeopleSoft security across application modules, including HCM, Student Administration, and FSCM.

Confidential

Senior IT Consultant

Responsibilities:

  • Negotiated web-development and hardware infrastructure contracts for small/medium sized businesses.
  • Implemented complete internet and intranet websites with in-depth experience in applying graphic design principles to produce creative, innovative, and professional websites.
  • Handled quality assurance of all web design projects, including web usability, accessibility, testing, and debugging.

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