Sean Cooperman

• Bridged misalignment between product, technology, and operations by creating org-wide training, enhancing productivity and goal alignment for 350 employees across the US and India
• Optimized OLTP database performance with Snowflake Cloud, increasing customer growth and saving $1.5M
• Established a Power BI platform for 350+ users, improving data visibility
• Developed Power BI reports to streamline security audits, reducing data collection time by several days and freeing up key resources
• Cut $255K in software costs by replacing Azure Data Factory with Fivetran, allowing data engineers to focus on high-value tasks
• Automated reporting for data lake stakeholders, ensuring data usability and strategic decision-making
• Defined and executed a strategic data roadmap, improving alignment across data architecture, engineering, and BI teams
• Standardized database coding practices, accelerating deployment and improving system performance
• Implemented disaster recovery protocols with defined SLAs for downtime, patching, and recoverability
• Built Azure CI/CD pipelines, automating database and ETL deployments to reduce manual failures
• Strengthened security by implementing Transparent Data Encryption and database masking, boosting performance and compliance
• Led organization-wide leadership initiatives, resolving structural and process inefficiencies for faster adoption of new tech
• Managed high-volume databases (500GB–9TB) processing 65K+ transactions per minute
• Built a Snowflake Data Lakehouse, enhancing flexibility for BI analysts and data science teams
• Increased system performance by 38% by implementing NoSQL structures in AWS DynamoDB
• Executed a 10TB data center migration to AWS in under 42 minutes with zero downtime, leveraging SQL Server Distributed AlwaysOn Groups
• Upgraded SQL Server (2016/2019 to 2022) in AWS, improving scalability and efficiency
• Developed real-time data streaming POCs using Apache frameworks, now utilizing Snowpipe
• Created ETL integrations with HubSpot and Marketo for advanced analytics in Snowflake & Power BI
• Implemented DBT transformations, cutting analytics team workload by 35%

• Developed a strategic data roadmap for data architecture and engineering, improving alignment and long-term planning
• Established best practices for database code across platforms, reducing time-to-market and enhancing system performance
• Implemented disaster recovery protocols, ensuring SLAs for patching, downtime, and system recoverability
• Created Confluence documentation, cutting training time for new hires and expediting issue resolution
• Designed a high-performance data warehouse on SQL Server, optimizing ingestion processes and saving $3.25M annually
• Led SQL Server migration from 2012 to 2019, improving system reliability and performance
• Participated in change control governance, ensuring smooth database and BI code deployments
• Built state-specific data warehouses in SQL Server using SSIS and Alooma ETL, optimizing jurisdictional reporting
• Automated server deployments with Terraform, reducing failures and accelerating provisioning
• Standardized development best practices across SQL Server, Oracle, Azure, and Snowflake, increasing efficiency by 45%

• Developed high-performance ETL processes for cloud data warehouses
• Maintained data quality and architecture for virtual reality analytics

• Managed global database teams across three continents
• Optimized 8PB+ of data, handling 155K transactions per minute

• Developed high-performance ETL processes for cloud data warehouses for virtual reality programs.

• Held senior database engineering and architecture roles at GenSpring Family Offices, Office Depot, Siemens, First Data Corp., and more focusing on data warehousing, DBA, BI, ETL, and performance optimization