Led Data and Enterprise Architecture teams specializing in Data domains and value streams.• Advanced data platform vision and execution, enhancing architecture maturity.• Aligned value streams across applications and databases, reducing legacy dependencies for real-time data and apps.• Delivered high-priority data projects, ensuring timely completion aligned with business needs.• Piloted a program driving stakeholder alignment, iterative data modeling, and comprehensive documentation, extending the model to additional deliverables.• Developed a Data and Analytics Development Lifecycle, ensuring seamless code deployment into production platforms.• Modernized data stack by introducing Databricks, Kafka, Tableau, and Funnel.io, migrating from on-premise to AWS cloud, supporting multi-tenancy, security, and auditing including GDPR and CCPA.• Created a data quality scorecard to measure data initiatives’ progress.• Established “Voice of the Data Customer” groups for data governance and adoption.• Automated data landing processes, reducing time-to-value from 24hrs to 5 minutes.• Maintained high reliability and uptime for data systems with robust monitoring and alerting.• Facilitated an Architecture Review Board and created informational repositories for tool evaluation and adoption.• Hired key personnel in data, analytics, and architecture, invested in leadership development, and maintained team morale.• Promoted high engineering standards through Team APIs, aligning responsibilities for efficiency in engineering, data, and analytics.• Managed department budget effectively, optimizing cloud spending.• Cultivated a culture of excellence, accountability, and empathy.

• Led migration from on-premise data center to Redshift in 3.5 months with zero down time while optimizing ETL workflows to reduce run time by 200%• Adopted a cloud-based analytical platform (Databricks) • Maintained a massive Redshift implementation (2T records)• Modernized the data stack by Introduced real-time eventing with Kafka and an analytical platform (Databricks) and updated the data architecture.• Managed several teams over data engineering and data platform as well as a team based in India• Supported data science teams with training and modeling data• Implemented Data catalog (alation) and data visualization (Tableau) tooling.• Complied with GDPR and CCPA requirements across all data systems

• Maintained 99.99+ uptimes on production databases.• Performed over 400 installations of SQL Server in mostly clustered, highly available systems.• Architected highly available database systems for several product lines. • Provided administration on 130 production SQL Server instances.• Installed, maintained, and administered QA and Engineering SQL Server environments.• Tuned poorly performing queries and troubleshot poorly performing database systems.• Architected load-balanced, highly available Reporting Services environment.• Wrote ETL packages to pull data from 3rd party SFTP sites.• Developed interview process for finding best candidates for job openings for report writers and DBAs.

• Designed and implemented architecture for delivering disparate data through the data warehouse.• Designed architecture for Ad-hoc reporting.• Developed and maintained ETL packages to move and clean data.• Administrated all production SQL Servers.• Administered Analysis Services (SSAS).• Administered Reporting Services (SSRS).• Trained BI team on tools for developing reports, cubes, and ETLs.• Assisted BI team with installs and troubleshooting of ProClarity, Performance Point servers and MOSS integration with Reporting Services• Set up, monitored and maintained snapshot and transactional replication.• Deployed schema changes into production environments for various business units.• Administered MySQL databases for web teams.• Implemented security on SSAS, SSRS and ad-hoc databases servers.• Migrated all production SQL databases to SQL 2005 clustered servers.• Implemented backup strategies with compression and encryption.• Worked closely with all development teams on new SQL schemas.• Frequently captured SQL traces to tune query performance.• Created a monthly “SQL Challenge” for all developers and report writers to enhance their coding abilities.• Worked closely with systems team in planning, installing, and optimizing hardware needs for all database systems. This included SAN storage.• Worked with Microsoft to fix a bug in the .Net Framework affecting connectivity from ODBC sources in SSIS.• Worked with developers and QA teams to optimize database use.• Worked with report writers to optimize queries.• Mentored and trained other DBA’s on administrative tasks and SQL best practices.• Assisted with making databases PCI compliant.• Initiated a security audit on all production and QA servers. Implemented broad security changes to SQL Servers and databases