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Leon Gray
Data Warehousing Manager
Summary
Highly accomplished Data Warehousing Manager with over 10 years of experience in designing, developing, and implementing data warehouse solutions. Proven ability to lead teams and deliver projects on time and within budget. In-depth knowledge of data warehousing technologies, data modeling, data integration, and data quality management. Strong understanding of business intelligence and data analytics. Excellent communication and presentation skills.
Education
Master’s Degree in Computer Science or a related field
August 2016
Skills
- Data Modeling
- Dimensional Modeling
- Data Integration
- Data Quality Management
- Data Governance
- Data Warehousing Technologies (e.g., Informatica, Oracle Data Integrator, SQL Server Integration Services)
Work Experience
Data Warehousing Manager
- Utilized data visualization tools to create interactive dashboards and reports that provided key insights to business users, resulting in a 10% increase in informed decisionmaking.
- Implemented a data security framework that protected sensitive data from unauthorized access, ensuring compliance with industry regulations and reducing data security risks by 25%.
- Managed a team of data analysts in developing and executing data analysis projects that provided valuable insights to support business strategies, resulting in a 15% increase in revenue.
- Utilized big data technologies such as Hadoop and Spark to process and analyze large volumes of data, enabling the extraction of valuable insights for business decisionmaking.
Data Warehousing Manager
- Managed the design, development, and implementation of a data warehouse that consolidated data from multiple sources, resulting in a 15% increase in data accuracy and a 20% reduction in data retrieval time.
- Led a team of data engineers in implementing a data governance framework that ensured data quality, security, and compliance standards were met, resulting in a 25% decrease in data breaches and a 10% improvement in data quality.
- Developed and implemented a data integration platform that automated data extraction, transformation, and loading processes, reducing data integration time by 30% and improving data consistency by 15%.
- Created and maintained a comprehensive data dictionary that documented data structure, definitions, and relationships, ensuring data consistency and reducing data ambiguity by 20%.
Accomplishments
- Challenge Designed and implemented a realtime data warehouse that enabled seamless integration of data from multiple sources, significantly enhancing data availability and reducing latency by 50%.
- Led a team in migrating legacy data warehouses to a cloudbased platform, resulting in improved data agility, reduced storage costs by 35%, and enhanced data governance capabilities.
- Developed and deployed a data lineage solution that provided comprehensive visibility into data flow, ensuring data integrity and compliance.
- Established a data warehouse training program for engineers and analysts, increasing data literacy and fostering a datadriven culture within the organization.
- Developed a data warehouse performance monitoring and optimization strategy, reducing query response time by 25% and improving overall efficiency.
Awards
- Recognized for outstanding performance in Data Warehouse Management, contributing to a 20% improvement in data accessibility and quality.
- Recipient of the Data Warehousing Excellence Award for innovative solutions in data integration and optimization.
- Honored with the Data Management Leadership Award for exceptional contributions to data warehouse design and architecture.
- Recognized for outstanding achievement in data governance, implementing policies and procedures that ensure data quality, security, and compliance.
Certificates
- Certified Data Warehouse Professional (CDWP)
- Certified Business Intelligence Professional (CBIP)
- AWS Certified Data Analytics – Specialty
- Microsoft Certified: Azure Data Engineer Associate
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Essential Experience Highlights for a Strong Data Warehousing Manager Resume
- Manage the design, development, and implementation of data warehouse solutions.
- Lead teams of data engineers and data analysts.
- Develop and implement data governance frameworks.
- Ensure data quality, security, and compliance standards are met.
- Create and maintain data dictionaries and documentation.
- Utilize data visualization tools to create interactive dashboards and reports.
- Develop and execute data analysis projects to support business strategies.
- Stay up-to-date on the latest data warehousing technologies and trends.
Frequently Asked Questions (FAQ’s) For Data Warehousing Manager
What is the role of a Data Warehousing Manager?
A Data Warehousing Manager is responsible for the design, development, and implementation of data warehouse solutions. They lead teams of data engineers and data analysts to ensure that data is properly collected, stored, and analyzed to support business decision-making.
What are the key skills and qualifications for a Data Warehousing Manager?
Key skills and qualifications for a Data Warehousing Manager include data modeling, data integration, data quality management, data governance, and data warehousing technologies. They should also have a strong understanding of business intelligence and data analytics.
What are the career prospects for a Data Warehousing Manager?
Data Warehousing Managers are in high demand as businesses increasingly rely on data to make decisions. With experience, they can advance to roles such as Chief Data Officer or Data Architect.
What is the salary range for a Data Warehousing Manager?
The salary range for a Data Warehousing Manager can vary depending on experience, location, and company size. According to Salary.com, the average salary for a Data Warehousing Manager in the United States is $115,000.
What are the challenges of being a Data Warehousing Manager?
Some of the challenges of being a Data Warehousing Manager include managing large and complex data sets, ensuring data quality and security, and keeping up with the latest technologies. They must also be able to communicate effectively with both technical and non-technical stakeholders.
What are the trends in data warehousing?
Some of the trends in data warehousing include the adoption of cloud-based data warehousing solutions, the use of big data technologies, and the increasing importance of data governance and data quality.