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.
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Discover our
Databricks
case studies
Enterprise BI Modernization for a Leading Logistics Provider
How a Global Manufacturer Modernized Analytics and Achieved AI Readiness With 20+ Semantic Models
Healthcare Research Program Achieves 100% ICD-10 Code Assignment with Governed Agentic AI
Connecting Decision Makers to data through Agentic AI for a National Distributor
Predicting Customer Intent at Scale for a Top Sportsbook
“Our engagement with Aimpoint lasted 5 weeks, and we heard from them every step of the way. This gave our team a chance to remain involved in the development process and keep the work super relevant. The overall experience was very smooth and Aimpoint delivered results very quickly. We highly recommend Aimpoint to any organization looking to take advantage of Databricks extensive capabilities in record time.”
Accelerating FAA Certification Reporting with AI
Agentic AI cuts travel planning time by 99.8%
From Good to Great: Deep Learning Forecasts Cuts Inventory Costs in Manufacturing
GenAI in Action: Transforming Unstructured Data into Value for ESA
Aimpoint Digital’s Databricks Lakehouse Accelerator program was one of the best technology implementations I have been a part of in my twenty-five years using data technologies. Their team helped us set up our Databricks environment and provided clear, hands-on guidance that quickly brought our staff up to speed. This was all done in under five weeks. We highly recommend their Databricks Lakehouse Accelerator program to any organization looking to take advantage of Databricks extensive capabilities in record time.
Johnsonville Databricks Lakehouse Accelerator
Supercharging Dynamic Pricing for a Trucking Logistics Company
As a leader in data-driven research and analytics, Westat partnered with Aimpoint Digital to architect and deploy our next-generation Databricks platform. Their intuitive grasp of our needs and agile execution helped us accelerate project onboarding while maintaining governance and cost control—key ingredients in the innovation behind our WesLytics platform.
A Bespoke Next-Generation Platform for Westat
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Empowering Business Decisions with Scalable Churn Prediction
Databricks Migration Halves Time to Insights for Aktana
The $6MM Difference: Turning Data into Dollars for Fitness Marketing Success
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68% Reduction in GenAI Run-cost and Improved Performance in Just One Week
A Dynamic Pricing Model Provides High-Value Insights to Multi-National Travel Company
Digital Insurance Platform Modernization for Covered Insurance
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Customer Behavior Modeling for Online Sportsbook
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Transforming Data Science Processes for a Leading Investment Firm
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Building Application Streaming for Real-Time Ad Metrics with Databricks
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Aimpoint Digital helped Straumann combine our ERP and BW data into a single, trusted source, enhancing data quality and setting up the entire data governance process. Databricks now integrates with our various visualization tools, improving our reporting capabilities, which helped a lot in our data-driven decision-making processes and improved organization wide data maturity.
Transforming Operations Analytics with Databricks for Straumann
Databricks services we provide
- Actionable GenAI Strategy
- Data Monetization Strategy & Enablement
- Self-service Analytics Strategy
- Bespoke Databricks Apps & Dashboard development
- Account and workspace deployment utilizing templated terraform scripts on all cloud platforms
- On-prem & cloud Data warehouse migrations
- Tool & Orchestration migrations (e.g. Matillion, Airflow/Astro, Talend)
- OLTP (e.g. Postgres, MongoDB, Cosmos) to Lakebase Migrations
- BI to Dashboard Migrations (e.g. Looker, Tableau, PowerBI)
- Observable & performant streaming ingestion framework
- Config driven pipelines (Python, Scala, SQL, Spark Declarative Pipelines)
- Data modeling & semantic layer (Metric Views) analytics engineering
- Unstructured data ingestion, chunking & RAG
- Feature store migrations & instantiations
- Traditional ML & MLOps
- Genie & Text2SQL
- AgentBricks and custom complex Agentic Systems
- LLMOps GenAI agent deployment, evaluation, observability & orchestration framework
Unlock the full potential of Databricks Genie
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
Accelerate time to clean and governed data
Understand the key advantages and features of Databricks
Understand the key advantages and features of Databricks
Fast track your Databricks Onboarding Journey
Fast track your Databricks Onboarding Journey
Get started in GenAI with a RAG Model integrated with MLFlow
Get started in GenAI with a RAG Model integrated with MLFlow
Confidently deploy, monitor, and manage GenAI systems in production
Confidently deploy, monitor, and manage GenAI systems in production
Set the stage for a successful GenAI implementation with our four-week Databricks GenAI accelerator.
Set the stage for a successful GenAI implementation with our four-week Databricks GenAI accelerator.
Set up MLOps with automated data quality checks
Set up MLOps with automated data quality checks
Govern and secure your data while allowing a streamlined development experience
Govern and secure your data while allowing a streamlined development experience
Build, deploy, and maintain decision support tools
Build, deploy, and maintain decision support tools
Simplify, observe and control your data quality with an Intuitive Databricks App
Simplify, observe and control your data quality with an Intuitive Databricks App
Seamlessly migrate from dozens of on-prem or cloud data warehouses to Databricks with our robust migration platform
SQLift
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.
Andrew Sitz
Andrew is a Databricks MVP and Principal Solutions Architect at Aimpoint Digital, specializing in Microsoft and Databricks solutions. He holds a Bachelor of Business Administration from the University of South Dakota and lives in Des Moines, Iowa, with his wife and four children. Outside of work, he enjoys staying active, exercising, and skateboarding when he can.