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Click here or scroll down to respond to this candidateCandidate's Name
P: PHONE NUMBER AVAILABLE Clearance: Secret Clearance LinkedIn E: EMAIL AVAILABLEAgile methodology Data Quality Python Developer Business Rules Machine learningTalend for Data Integration Reporting/Data Analysis ETL Development Data ModellingBusiness Intelligence Engineer / ETL DeveloperEducation:North Carolina A & T State University, Greensboro, NC:Associate of Applied Science: Data Analytics Dec 2020Master of Science in Civil Engineering GPA: 3.94 Dec 2020Federal University of Technology, Nigeria: Bachelor of Engineering in Civil Engineering GPA: 3.77 Dec 2010Technical Skills:Programming Language: Python, PostgreSQLData Analytics: Proficient with Quicksight, Tableau, Excel,Databases & Data Warehousing: Experienced in AWS RDS, Redshift, Azure, S3, MS Visio for Data modellingETL Tools: Skilled in Redshift, AWS Glue, Kafka, AirflowProject Management: JIRA, Git, Quip, SharePoint2010Soft Skills:Analytical Proficiency: Data Governance, Data Analysis, Business Process Mapping, Gap AnalysisCommunication: Excellent verbal and written abilities; persuasive presenterLeadership: Proven team leadership and project coordinationWork ExperienceData Engineer/BI Developer IMG Pittsburgh (Navy Nuclear Lab) Feb 2024 PresentParticipated in the implementation of data governance frameworks, aiding in the maintenance of high data quality standards.Designed and maintained metadata repositories, ensuring alignment with data governance policies and business objectives.Developed and optimized BI reporting tools, dashboards using Tableau, and data analytics platforms using SQL, Tableau, and Python to support strategic decision-making.Participated in establishing key metrics to define internal team processes and conducted gap analysis to assess the effectiveness of these metrics.Played a key role in requirement gathering and schema design for data solutions, driving project initiation and tracking through Jira on AWS, Oracle and Azure Databases.Developed robust data collection and ETL pipelines, leveraging Python to integrate diverse data sources such as relational databases, PDFs, and XML files.Developed and managed an ETL pipeline utilizing Kafka and Python on a high-performance, on-premise processor, ensuring robust data flow and system reliability.Authored comprehensive unit tests and maintained code quality, utilizing Git for version control and documentation.Orchestrated the creation of analytic reports with QuickSight, enhancing decision-making tools.Business intelligence Engineer Amazon, Bellevue, WA July 2021 Feb 2024Developed and optimized BI reporting tools, dashboards, and data analytics platforms using SQL, Tableau, and Python to support strategic decision-making.Led data governance initiatives, establishing policies and procedures that resulted in a 30% improvement in data quality and a 25% reduction in data redundancy.Spearheaded a data governance project to catalogue and classify data assets, improving data lifecycle management and operational transparency.Conducted thorough data audits, compliance checks, and implemented data security protocols in line with GDPR and other regulatory standards.Collaborated with cross-functional teams to ensure seamless data integration and accurate data representation across the organization.Spearheaded the automation of weekly and daily business intelligence reports, enhancing decision-making capabilities with tools like QuickSight.Initiated and refined performance metrics, employing SQL for data extraction and Python for analysis, ensuring continuous data integrity and actionable insights.Partnered closely with stakeholders to develop and streamline data processes, committing to long-term data accuracy and integrity.Led collaborative efforts to create and share dashboards, improving intelligence accessibility across the organization.Data Scientist Kiona Technologies, Greenville, SC Jan 2021 July 2021Structured and optimized data pipelines, capitalizing on PostgreSQL, Python and Redshift for enhanced data flow and analytics readiness.Championed the construction of insightful Tableau dashboards from raw data, fostering informed business decisions.Guaranteed data integrity through meticulous cleansing and verification, laying the foundation for robust data analytics. |
