Data Engineering Analyst (Applied Analytics)
• Operate in an Agile framework, developing MarkLogic scripts for an XMLand JSON-base NoSQL database using TDD processes.• Analyze large datasets of 25 million-plus records in Python, generatingaggregate statistics using Pandas and summary charts using Matplotlib.• Document system issues in JIRA and use GitHub for version control.• Utilize Amazon AWS and IBM Tivoli Work Scheduler to automate and runrecurring batch jobs, and Splunk Enterprise dashboards to generate dailyand weekly client performance metrics and reports.• Received the Above and Beyond award for streamlining eligibilityverification processes using SOAP web service APIs and CoRB Linux shellscripts, granting special enrollment insurance periods to an additionaltwelve hundred qualifying consumers.• Led the data team’s effort to cleanup 15 indexed fields in the productionNoSQL database, eliminating over 100 thousand system errors.