Chris Snyders

Technical Leadership:
Lead the design, development, and deployment of robust, scalable data pipelines and architectures.
Set technical direction and best practices in data modeling, ETL/ELT workflows, and data warehousing.
Evaluate and recommend data tools, technologies, and architecture choices.

Team Management:
Mentor and lead a team of data engineers and analysts.
Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and improvement.
Collaborate with cross-functional teams including Product, Engineering, and Analytics.

Project Delivery:
Translate business requirements into technical solutions.
Manage project timelines, deliverables, and communicate progress with stakeholders.
Optimize data processing performance and cost-efficiency in cloud environments.