Databricks Consulting
Unify your data architecture by bringing data, analytics, and GenAI workloads together with Databricks. Our expert team can help you migrate, scale and implement Databricks to streamline operations, expedite data processing, and make the most of advanced analytics, data science, and GenAI models.
Our cross-disciplinary team delivers strategy and execution across all facets of the Databricks Data Intelligence Platform
Discover our
Databricks
Case Studies
Databricks offerings we provide
- Platform Architecture
- Migration Assessments & Roadmapping
- Total Infrastructure Evaluation & Recommendations
- Data Monetization
- Migration of Existing Processes, Tools, & Databases
- Account Configuration & Workspace Deployment
- Security & Governance
- Cloud Infrastructure Set up
- Delivery & Enterprise Enablement
- ML Model Development & Deployment
- Data Pipeline Orchestration & Development
- BI Development
- Center of Excellence & Staff Augmentation
- Training, Coaching & Best Practices
- GenAI Strategy
- RAG Development
- LLM Fine-Tuning
- LLM Pre-Training
Accelerate your Databricks journey
Utilize our accelerators to shortcut your time to realizing value from your data assets in Databricks
Accelerate time to clean and governed data
Understand the key advantages and features of Databricks
Fast track your Databricks Onboarding Journey
Set the stage for a successful GenAI implementation with our four-week Databricks GenAI accelerator.
Get started in GenAI with a RAG Model integrated with MLFlow
Set up MLOps with automated data quality checks
Govern and secure your data while allowing a streamlined development experience
Build, deploy, and maintain decision support tools
Our
Databricks
experts guide you every step of the way
Dylan Ford
Dylan has over two decades of experience in delivering data projects across a vast array of industries, with a specialization in Databricks. He is an expert in all aspects of building data pipelines, from modern low code solutions to highly customized Python and Scala projects.
Byron Capelle
Byron has over a decade of experience designing data platforms in both AWS and Azure, specializing in all aspects of Databricks implementation. He has incredibly advanced technical skills, with over a dozen certifications and deep expertise in multiple programming languages, cloud technologies, and storage solutions.
Elizabeth Khan
Elizabeth has a rich consulting background in developing and deploying large-scale ML models, leveraging her deep expertise in advanced analytics and data science to drive business value and insights for her clients. She is passionate about leveraging technology to solve real-world problems through the power of AI.