Obada Farhan
Uniontown,OH
Summary
Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills. Detail-oriented [Job Title] designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages. Background includes data mining, warehousing and analytics. Proficient in machine and deep learning. Quality-driven and hardworking with excellent communication and project management skills. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level [Job Title] position. Ready to help team achieve company goals. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
Overview
1
1
year of professional experience
Work History
Data Engineer
Integrated Health Collaborative (IHC)
12.2022 - Current
- Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
- .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
- Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
- Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.
- Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
- Migrated legacy systems to modern big-data technologies, improving performance and scalability while minimizing business disruption.
- Provided technical guidance and mentorship to junior team members, fostering a collaborative learning environment within the organization.
- Developed custom algorithms for advanced analytics, driving actionable insights from large datasets.
- Collaborated with data scientists to develop machine learning models by providing the necessary data infrastructure and preprocessing tools.
- Increased efficiency of data-driven decision making by creating user-friendly dashboards that enable quick access to key metrics.
- Designed scalable and maintainable data models to support business intelligence initiatives and reporting needs.
- Designed compliance frameworks for multi-site data warehousing efforts to verify conformity with state and federal data security guidelines.
- Led end-to-end implementation of multiple high-impact projects from requirements gathering through deployment and post-launch support stages.
- Evaluated various tools, technologies, and best practices for potential adoption in the company''s data engineering processes.
- Collaborated with cross-functional teams for seamless integration of data sources into the company''s data ecosystem.
- Proactively identified opportunities for process improvements, addressing inefficiencies through innovative solutions and implementing best practices in the field of data engineering.
- Established robust monitoring processes to proactively detect system anomalies or performance bottlenecks before they impact users or critical operations.
- Implemented real-time data processing solutions for timely decision-making and improved customer experience.
- Conducted extensive troubleshooting to identify root causes of issues and implement effective resolutions in a timely manner.
- Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
- Managed cloud-based infrastructure to ensure optimal performance, security, and cost-efficiency of the company''s data platform.
- Generated detailed studies on potential third-party data handling solutions, verifying compliance with internal needs and stakeholder requirements.
- Designed and implemented effective database solutions and models to store and retrieve data.
- Prepared documentation and analytic reports, delivering summarized results, analysis and conclusions to stakeholders.
- Analyzed complex data and identified anomalies, trends, and risks to provide useful insights to improve internal controls.
- Developed, implemented and maintained data analytics protocols, standards, and documentation.
- Communicated new or updated data requirements to global team.
- Built databases and table structures for web applications.
- Monitored incoming data analytics requests and distributed results to support [Type] strategies.
- Explained data results and discussed how best to use data to support project objectives.
- Contributed to internal activities for overall process improvements, efficiencies and innovation.
- Used GDP on validation protocols, test cases and changed control documents.
- Designed and developed analytical data structures.
- Designed advanced analytics ranging from descriptive to predictive models to machine learning techniques.
- Prepared written summaries to accompany results and maintain documentation.
- Documented and communicated database schemas using accepted notations.
- Collaborated with system architects, design analysts and others to understand business and industry requirements.
- Developed database architectural strategies at modeling, design, and implementation stages to address business or industry requirements.
- Managed identification, protection and use of data assets.
- Established and secured enterprise-wide data analytics structures.
- Planned and installed upgrades of database management system software to enhance database performance.
- Gathered, defined and refined requirements, led project design and oversaw implementation.
- Designed data models for complex analysis needs.
- Developed and delivered business information solutions.
- Reviewed project requests describing database user needs to estimate time and cost required to accomplish projects.
Education
Master of Statistics -
School of Art and Science, The University of Akron
Akron, OH12.2014
Master of Actuarial Studies -
School of Business, University of New South Wales
07.2009
B.SC in Mechanical Engineering -
School of Engineering, University of Jordan
06.2006
Skills
- ETL development
- Data Warehousing
- Data Modeling
- Data Pipeline Design
- Data Migration
- Big Data Processing
- Scripting Languages
- Spark Framework
- SQL Expertise
- Performance Tuning
- Machine Learning
- Data Governance
- Real-time Analytics
- NoSQL Databases
- API Development
- Data Security
- Data curating
- Data Quality Assurance
- Hadoop Ecosystem
- Metadata Management
- SQL and Databases
- SQL Programming
- Data Analysis
- Business Intelligence
- Database Design
- Relational databases
- RDBMS
- Backup and recovery
- Database Administration
- Technology leadership work streams
- Risk Analysis
- Advanced analytics
- Storage virtualization
- Data Analytics
- Data Mining
- Database Development
- Data warehousing expertise
- Key Performance Indicators
- Requirements Gathering
- RDMS Design
- Technical Support
- Recovery planning
- Secure Data Retention
- Report Generation
- Security Protocols
- Load Balancing
- Data repositories
- XML Web Services
- Data Acquisitions
- Structure designs
Knowledge Skills Abilities
- Skills in preparing reports on a timely basis.
- Strong attention to detail and critical thinking.
- Excellent assessment skills.
- Excellent data management skills.
- Knowledge of principles and techniques used in conducting clinical studies and data analysis.
- Excellent technical writing, presentation, and oral communication skills in English.
- Can work flexibly under pressure and under deadlines and has superior problem-solving skills.
- Personable, with strong work ethic, always willing to make the extra effort to quality results.
- Use of related software products such as SQL Vertica and R.
- Proficiency with Tableau.
- Advanced Microsoft Office (Excel, Access).
- Proficiency in analyzing a wide array of data types, including medical and pharmacy claims, clinical process, and outcome data, e.g., HEDIS and other performance metrics, financial, and survey data.
- Experience with other MSSP (ACO program).
Resume Objective
Data Engineer with 7+ years of experience interpreting and analyzing healthcare data to drive successful business solutions. Proficient knowledge in statistics, mathematics, and analytics. Excellent understanding of business operations and analytics tools for effective analyses of data.
Timeline
Data Engineer
Integrated Health Collaborative (IHC)
12.2022 - Current
Master of Statistics -
School of Art and Science, The University of Akron
Master of Actuarial Studies -
School of Business, University of New South Wales
B.SC in Mechanical Engineering -
School of Engineering, University of Jordan