Project lead for the development and implementation of SQL Server database solutions, including functional requirements definition, and maintenance of applications or systems. Data Engineer for the development of AWS ETL solutions utilizing RedShift, Spark, and Airflow.- Mange 65 production & development SQL Servers (SQL Server 2005 - 2017)- Develop and maintain Enterprise Data Warehouse- Develop highly efficient Python machine learning algorithms to provide data insights into system configurations, application performance, and metrics- Work closely with the BI and Data Science teams to debug and improve ETL and reporting code- Responsible for migrating and consolidating servers and various DB instances into a coherent infrastructure that was secure and performance tuned- Maintain and implemented a Red-Gate SQL Monitoring solution for both the production and development environments in order to provide real-time alerts and performance metrics

Assisted in the analysis and resolution of underlying technical and data integrity-related issues. Performed complex data modeling and data science functions. Created, maintained and executed T-SQL code sets and Extract, Transform, Load (ETL) processes to ensure timely delivery of data to the business. Performed ad-hoc and standardized reporting functions. - Reduced legacy ETL processing times by 75% by rewriting complex SQL code to be more concise and efficient.- Migrated legacy SQL code into various SQL Server Integration Services (SSIS) packages for automated processing in order to maximize resources and deliver faster report creation.

Administered 30+ SQL Server enterprise servers. Provided software development support for internal developers through quality assurance (QA) testing. - Served as DBA and project lead in the completion of 100+ large-scale database server implementations and migrations.- Developed and tested storage strategies and disaster-recovery plans utilizing log shipping and mirroring in a very large database (VLDB) environment that provided recovery performance and high availability. - Developed a Python-based automated solution for file processing that eliminated user input errors and cut file processing times by over 50%.- Managed the Oracle 11g backend of a Mingle server solution.

Responsible for gathering, analyzing, interpreting, coding, and testing all ordering, pricing, and technical information from the Automotive Industry. Analyze the inter-relationships of multiple variables and develop a coding structure that provides accurate information in a user-friendly format. Act as a technical liaison between engineering and data analyst departments. Develop, implement, and monitor data policies and controls to ensure data accuracy.- Developed a Perl utility to minimize user input errors and promote data integrity.- Created automated data parsing programs to minimize data processing time.- Designed procedures to efficiently test client online product ordering.