Created, deployed and administered custom Docker containers providing a remotely-accessible development environment backed by PostgreSQL.

Designed and optimized complex SQL queries and reports for an EHR platform on SQL Server and Azure SQL, improving reporting efficiency and accessibility.

Developed automated data-loading processes from flat files into SQL Server, including validation, error handling, job scheduling, and auditing.

Provided technical and application-level support for EHR platform users, resolving SQL-related issues and coordinating cross-team resolutions.

Administered and maintained multiple SQL Server and PostgreSQL instances across on-prem and cloud environments, performing user/role management, security configuration, backup validation, basic restoration testing, and routine health checks to ensure database reliability.

Monitored database performance and availability, performing tuning activities such as analyzing slow-running queries, reviewing execution plans, and recommending indexing or configuration adjustments to optimize system efficiency.

Built and orchestrated an automated ETL pipeline using Meltano, dbt, and DuckDB and deployed as a Linux container, enabling reliable data processing and scalable reporting workflows.

Executed ad-hoc data extractions, bulk uploads, schema updates, and controlled database changes to support business operations while adhering to governance and change-management procedures.

Collaborated with application, infrastructure, and analytics teams to troubleshoot database-related issues, support deployments, and ensure high availability and data integrity.

Analyzed existing ETL solution for generating reports and implemented a new, optimized solution in SQL.

Worked with database management team to deploy new SQL queries, stored procedures, and views.

Improved efficiency and reduced company-wide report generation time.

Demonstrated strong skills in data analysis and performance tuning.

Designed and implemented new features and changes to our internal case management application, using C# on the .NET Framework and Telerik UI.

Integrated data from several city agencies into the agency’s in-house data model used for research and reporting.

Designed and implemented changes to data model by developing code in SQL, SSIS and C\#.

Worked with other departments to provide required monthly reports to the NYC Mayor’s Office.