I am a data integration and support specialist with 15 years of experience designing large-scale database architecture, building enterprise ETL pipelines, and developing automated data exchanges.
I have worked extensively with public-sector and nonprofit data environments, where data quality, governance, and integrity are critical. My background includes safeguarding, cleaning, and structuring complex datasets using SQL, Python, and REST/SOAP APIs.
I have led and supported technical teams, administered databases, and improved operational workflows through automation, documentation, and standards development. I am comfortable translating technical structures into clear guidance for non-technical stakeholders.
My experience includes cloud-integrated systems, AWS services, data access controls, user provisioning, and auditing. I also bring hands-on experience with ETL/ELT workflows, metadata standards, schema design, and validation processes.
I have contributed as both an individual specialist and a leader, including directing a data processing division and mentoring junior staff. I value collaboration, code quality, and long-term maintainability.
I am especially interested in roles focused on data integration, database administration, automation, and public-interest technology. I bring a strong commitment to reliable systems, clean data, and practical solutions that support organizational goals.
Administer document retention policies and execute data hygiene initiatives. Maintain data integrity, access permissions, user provisioning, and system auditing across cloud ecosystems and AWS services. Create user guides and training materials for non-technical staff.
Evaluated and graded structural code inputs, dataset logic, and scripts. Maintained documentation and data mapping standards in a remote freelance workflow.
Designed and administered a large Microsoft SQL instance for a public-sector grants program. Built Python, SQL, and Git-based data collection models, automated curation tasks, and standardized disparate public data into clean datasets. Authored documentation, metadata schemas, and validation scripts.
Led the Data Processing division, overseeing application development, code reviews, scheduling, database administration, and data visualizations. Modernized legacy databases and manual processes using PHP, HTML, Python, Git, and Linux. Authored SOPs and data dictionaries and trained junior staff.
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