Certified Databricks Consulting Partner

From migration and modernization to performance optimization, we help enterprises unlock scalable analytics,
AI, and real-time data processing on Databricks.

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Platform Partnerships

Experience the Full Potential of Your Data with
Our Certified Databricks Consultants

We help organizations design, migrate, and optimize modern data platforms using Databricks and the Lakehouse architecture. Our team specializes in scalable data engineering, real-time analytics, machine learning pipelines, and cloud-native modernization across AWS, Azure, and GCP.

Our consultants have helped companies migrate legacy Hadoop and warehouse systems to Databricks, reducing infrastructure costs by up to 40% while improving processing speed and operational efficiency. We’ve processed multi-terabyte workloads, streamlined ETL pipelines, and enabled faster business insights through optimized Spark and Delta Lake implementations.

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TB data processed monthly
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Lower infrastructure costs
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Pipeline reliability
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Faster analytics performance

Why Choose Us as Your Databricks Partner?

Expertise and Certification
Expertise and Certification

As an official Databricks partner, our team consists of highly skilled and certified Databricks consultants.

Certified Professionals
Certified Professionals

Our consultants hold various Databricks certifications, ensuring that they possess the knowledge and skills to deliver high-quality solutions.

Proven Track Record
Proven Track Record

With numerous successful Databricks implementations, we have the expertise to tackle complex data challenges across multiple industries.

Value Proposition

Accelerated Time to Value

Leverage our deep expertise to quickly unlock insights from your data.

Cost-Efficient Solutions

Optimize your data processes with scalable and cost-effective Databricks solutions.

Innovation and Scalability

Drive innovation and scale your data operations effortlessly with Databricks' robust platform and our tailored services.

Our Databricks Services

We offer a wide range of Databricks services designed to meet your unique business requirements. Our end-to-end solutions cover everything from initial setup to ongoing optimization.

Design and implement robust ETL pipelines using Databricks, ensuring data is cleansed, transformed, and loaded efficiently.

Leverage Databricks for real-time data processing using Apache Spark, enabling instant insights and decision-making.

Perform advanced analytics using Databricks SQL, enabling complex queries and in-depth data analysis.

Create interactive dashboards with Databricks and Power BI/Tableau for real-time data visualization and reporting.

Develop custom data models tailored to your business needs, providing actionable insights and predictive analytics.

Build and train machine learning models using Databricks MLflow, streamlining the end-to-end machine learning lifecycle.

Optimize machine learning models with automated hyperparameter tuning, improving model accuracy and performance.

Build scalable data lakehouse architectures that unify data lakes and data warehouses, optimizing storage and query performance.

Deploy machine learning models at scale using Databricks, ensuring seamless integration with your production environment.

Seamlessly integrate Databricks with Azure services, leveraging Azure Data Factory, Azure Synapse, and Azure Data Lake for a unified data ecosystem.

Utilize Databricks on AWS with integration into AWS S3, AWS Glue, and Redshift for scalable data processing and analytics.

Integrate Databricks with Google Cloud services like BigQuery, Cloud Storage, and Vertex AI for comprehensive data solutions.

Continuously monitor and optimize Databricks performance, ensuring efficient resource utilization and cost savings.

Implement robust security practices, including access controls, data encryption, and compliance with industry standards.

Receive round-the-clock support from our dedicated Databricks experts, ensuring minimal downtime and maximum productivity.

Get Started with Databricks

Get Started with Databricks

Ready to Transform Your Data Strategy?

Contact us today to learn how our certified Databricks consultants can help you maximize the value of your data. Whether you’re just starting with Databricks or looking to optimize your existing setup, we have the expertise to drive your success.

Schedule a Free 30-Min Consultation

Case Studies of Growth and Impact

We have a proven track record of delivering exceptional results for our clients. Here are some examples of successful projects we have delivered:

ETL using Databricks with Sigma
Case StudiesData Insights

ETL using Databricks with Sigma

Metabase Insights for Decisions
Case StudiesData Insights

Metabase Insights for Decisions

Auto Assignment for Last Mile Delivery
Case StudiesData Insights

Auto Assignment for Last Mile Delivery

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Frequently Asked Questions (FAQ)

Get answers to your key questions and make informed decisions.

Databricks is a unified data analytics platform built on Apache Spark that combines data engineering, data science, machine learning, and business intelligence in one environment. 

Kadel Labs helps businesses implement Databricks to consolidate fragmented data tools, accelerate analytics, and build scalable AI solutions on a single platform. 

Kadel Labs provides end-to-end Databricks consulting, from initial architecture through implementation and ongoing optimization: 

  • Platform implementation and workspace setup 
  • Migration from legacy data warehouses and Hadoop environments to Unity Catalog 
  • Data Lakehouse architecture and Delta Lake design 
  • ETL and ELT pipeline development 
  • Cloud integration across AWS, Azure, and Google Cloud 
  • Performance and cost optimization 
  • Machine learning deployment and MLOps 
  • Ongoing managed support 

Engagements can cover the full platform build or a single workstream such as migration or cost optimization. 

Yes. Databricks processes real-time data using Apache Spark Structured Streaming, allowing businesses to analyze events as they arrive rather than in overnight batches. 

Kadel Labs configures Structured Streaming and Delta Live Tables so streaming data flows into the same lakehouse as historical data, giving teams live operational monitoring and alerting without maintaining a separate real-time system. 

Kadel Labs is a certified Databricks consulting partner with 100+ certified resources and experience delivering data solutions across industries including mortgage, healthcare, EdTech, eCommerce, and NBFCs. 

Our industry-led Databricks accelerators and proven implementation frameworks help reduce development time and accelerate time-to-value. We help organizations build scalable data platforms, optimize Spark workloads, modernize legacy systems, improve data processing performance, and control cloud and compute costs. 

Yes. Kadel Labs builds interactive dashboards on Databricks, integrated with Power BI, Tableau, and Databricks SQL dashboards. 

Dashboards are connected directly to the lakehouse so reporting reflects current data rather than a separately maintained extract. 

Databricks improves business analytics by unifying data engineering, analytics, and machine learning on one platform, removing the delays caused by moving data between separate systems. 

Kadel Labs uses this to consolidate reporting, automate data pipelines, and make the same governed dataset available to analysts, data scientists, and BI tools, so teams stop reconciling conflicting numbers from different sources. 

Most Databricks migrations take up to 6 months, depending on the number of pipelines, data volume, and complexity of the legacy system being replaced. 

Migrations are typically phased into the stages below, so existing reporting stays live throughout. 

  • Assessment and migration plan 
  • Platform setup and architecture 
  • Pipeline and workload migration 
  • Validation, cutover, and handover 

Kadel Labs improves Databricks performance and cost through Spark tuning, cluster configuration, and Delta Lake best practices. 

  • Spark job and query optimization 
  • Cluster sizing, autoscaling, and spot instance strategy 
  • Delta Lake file compaction, partitioning, and Z-ordering 
  • Workload isolation and job scheduling 
  • Continuous cost and performance monitoring 

Optimization work typically targets both faster processing and lower monthly compute spend, since the two are closely linked on Databricks. 

Cost depends on scope, data volume, and whether the engagement is a new implementation, a migration, or an optimization project. 

Share details on your current environment and target use case and we'll return numbers specific to your project

Databricks provides centralized governance through Unity Catalog, which manages access control, data lineage, and auditing across all workspaces and data assets. 

  • Fine-grained access control at table, row, and column level 
  • Automated data lineage tracking across pipelines and dashboards 
  • Audit logging and access history 
  • Encryption in transit and at rest, with customer-managed key options 
  • Data masking and secure sharing between organizations 

Kadel Labs implements Unity Catalog and governance policies as part of platform setup, which is significantly harder to retrofit once workloads are already running. 

Get More Out of Databricks with Certified Experts

As an official Databricks partner, we help you migrate, modernize, and fine tune your Lakehouse for faster analytics and lower costs. Book a free consultation and see what’s possible.

Speak with a Databricks Consultant