Senior Data Analyst / Data Engineer

I led end-to-end data migration initiatives across Cerner and Netsmart MyAvatar EHR platforms, improving migration efficiency and generating approximately $800K in savings. I also architected analytics-ready datasets and curated data models for self-service reporting and downstream analytics.

I developed documentation and reconciliation automation using VBA and Python. These solutions reduced hospital-process documentation from three weeks to 15 minutes and a recurring four-day reconciliation task to five minutes.

I led data migration for the GE Centricity EHR platform and helped reduce personnel costs by approximately $300K. I created custom mapping scripts and transformation logic to normalize structured and unstructured information between disparate EHR schemas.

I designed analytics-ready data models, developed Power BI reports, and automated workflows across Excel, Word, Outlook, Access, and PowerPoint using Python. The transformation process improved from approximately 2.5 days to 35 minutes.

I managed the migration of archived legacy applications to a new platform, contributing approximately $600K in savings. I coordinated with multiple teams to archive applications, standardize documentation, and preserve record integrity.

I extracted, validated, and packaged application data for long-term retention. I also built Python automation connecting Microsoft Office applications to accelerate archival reporting and reduce documentation effort from two weeks to two hours.

I built SQL transformations and database objects to create reporting solutions that improved efficiency and saved approximately $450K. I led migration work across Epic, eClinicalWorks, and Allscripts EHR platforms.

I extracted, transformed, and loaded patient records, appointments, clinical notes, lab results, and billing data, reducing processing time from four days to one hour. I also reverse engineered Visual Studio code for Snowflake use and automated Office workflows with Python.

I developed data solutions to track a data-center closure and the implementation of new servers, contributing approximately $1.5M in savings. I created SQL reports for server migration progress and decommissioning metrics.

I imported and parsed XML documents, mapped extracted data to database fields and Excel worksheets, and reduced processing time from three days to 15 minutes. I also built Python-based Office automation to standardize reporting.

I developed Microsoft Access databases and Excel VBA solutions to support business requirements. I reconfigured an Access database to meet client specifications and resolve complex business scenarios.

I analyzed stakeholder requirements and communicated technical concepts effectively to audiences with varying levels of technical knowledge.

I converted and validated data as part of legacy-to-new system migrations. I reconciled source and target datasets to ensure accurate and reliable data conversion.

I developed SQL queries, views, and stored database objects to transform source data into reporting-ready datasets.

I programmed ad hoc reports using SSIS and relational databases to support business performance. I built SQL transformations using queries and database objects to produce reporting outputs.

I applied Python scripting to connect Excel, Word, Outlook, Access, and PowerPoint, improving the speed of ad hoc report delivery.

I developed and implemented data governance solutions and defined source-to-target mappings to support reporting and governance requirements. I worked with property and casualty insurance data.

I used Python automation across Microsoft Office applications to improve the efficiency of data-governance activities and recurring reporting work.

I implemented data governance policies across functional groups and gathered requirements for new reports and repairs to existing reports. I worked across multiple business areas to align reporting solutions with stakeholder needs.

I collaborated with an India-based team to close sprints 40% faster through coordinated delivery and process improvement.

I integrated clinical data from 77 physician practices across six EMR systems into Epic. I engineered SQL transformation logic and database objects for clinical and operational reporting.

I performed ETL for patient, clinical, and billing records from eClinicalWorks, GE Centricity, Athena, and Allscripts during the Epic implementation.

I improved quality assurance for a monthly SDLC process from more than two weeks to less than 30 minutes. I planned, led, supported, and improved business analysis and software development lifecycle processes.

I worked hands-on with property and casualty insurance data and products, including Personal Auto, Motorcycle, and Property rater products.

I worked as a contract Data Analyst supporting data-related business activities.

Specific project responsibilities and achievements were not provided in the resume.

I balanced monthly accounts receivable to zero for all clients and performed underpayment analysis. I investigated and resolved root causes for accounts that did not reconcile.

I supported financial reporting accuracy through detailed analysis, reconciliation, and issue resolution.

Master's Certificate in Advanced Enterprise Development.

Bachelor's Degree in Business Administration and Management.