Master Data Efficiency.
Hire Databricks Developers

Great AI/ML models are built with great data. Let our expert team leverage Azure Databricks to centralize, clean, and optimize your data, building scalable solutions that streamline workflows and accelerate business intelligence.

databricks certificate

Databricks Certified

Data Engineer Associate Developers

Trusted by our beloved clients

Databricks Services We Offer

Today, the challenge lies in successfully adopting and scaling data and AI practices across your business. Hire our Databricks developers, and you’ll see how we can help.

Data Engineering & Pipeline Development

Data Engineering and Pipeline Development

We design and implement scalable, production-ready ETL pipelines for analysis, enabling the processing of massive datasets while reducing costs and increasing speed. Our Databricks solutions ensure smooth data flow with automated scaling and built-in reliability.

Databricks Platform Implementation & 

Management

Databricks Platform Implementation and Management

With Intuz, you can set up, configure, and optimize the Databricks platform for your specific data engineering and analytics requirements. We work with major cloud providers like AWS, Azure, and Google Cloud to seamlessly integrate Databricks into your existing infrastructure.

Advanced Analytics and Machine Learning

Advanced Analytics and Machine Learning

Our expertise spans end-to-end AI/ML development, from classical ML to GenAI. We create, train, and deploy such models to fine-tune your data pipelines across multiple systems for exceptional decision-making, predictive analytics, and AI-driven automation.

Databricks Consulting Services

Databricks Consulting Services

Turn data into a competitive advantage for your business. Our team assesses your infrastructure, recommends the best architecture, and creates a strategic roadmap for data transformation. We aim to drive real business impact and make your data work for you, not against you.

Databricks Delta Lake Solutions

Databricks Delta Lake Solutions

With Intuz, turn your data lake into a more reliable and manageable “lakehouse.” Leverage ACID transactions, schema enforcement, and data versioning capabilities. Our fully managed data bricks services help maintain data integrity and quality.

Why Databricks?

The reason Databricks is ideal because it lets you get the most out of your data. Here’s how:

All-in-One Data Platform

All-in-One Data Platform

Whether you're a Data Engineer, Analyst, or Scientist, Databricks brings everything together. From raw data ingestion to advanced analytics and machine learning, you can handle it all in one place.

Seamless Data Processing

Seamless Data Processing

Work with both real-time and historical data effortlessly. Databricks lets you analyze trends, make fast business decisions, and gain insights from past data.

Effortless Data Integration

Effortless Data Integration

With connections to 120+ data sources across cloud, local storage, and data streams, Databricks makes data ingestion and migration smooth and reliable.

Built-in Security & Compliance

Built-in Security & Compliance

Keep your data protected with robust security measures and compliance standards, so you can focus on business growth without security concerns.

Cloud-Ready Flexibility

Cloud-Ready Flexibility

Databricks works seamlessly with AWS, Azure, and GCP, making it easy to store, process, and analyze data in the cloud—without worrying about infrastructure.

Our Work

See how we use Databricks to boost data analytics and AI for business success

Struggling to Extract Value From Your Data?

Talk with Our Experts to Leverage AI/ML with Databricks.

Our Databricks Development Process

Gather Requirements
1

Requirement Gathering and Planning

The first step involves understanding what it is that you want to achieve. We assess your existing data infrastructure, tools, and cloud environment to define a roadmap for Databricks implementation.

Environment Setup & Infrastructure Provisioning
2

Environment Setup and Infrastructure Provisioning

Once the plan is in place, we will deploy Databricks to your preferred cloud provider—AWS, Azure, or Google Cloud. We configure workspaces, clusters, and networking to ensure optimal performance and security.

Data Collection and Preparation color
3

Data Ingestion and Processing Pipeline

Whether you’re working with structured, semi-structured, or unstructured data, we integrate sources such as databases, APIs, and streaming platforms to create an efficient ingestion and processing pipeline.

AI & ML Capabilities
4

AI/ML Capabilities

We provide custom ML models, pre-built AI solutions, and MLOps automation support within Databricks. Our expertise spans predictive analytics, recommendation engines, NLP, and Generative AI.

Performance Optimization
5

Performance Optimization

We leverage Photon Engine, caching strategies, and optimized cluster configurations to boost your Databricks platform’s performance. This minimizes compute costs and accelerates query execution.

Deployment & Integration
6

Deployment and Integration

Need connections to BI tools like Power BI, data warehouses like Snowflake, or enterprise apps via APIs? You got it. Intuz ensures nothing but a smooth Databricks integration with your existing stack.

Security, and Compliance
7

Governance, Security, and Compliance

Our managed databricks services include audit logging, role-based access control (RBAC), data lineage tracking, and encryption, ensuring compliance with industry regulations such as GDPR, HIPAA, and SOC 2.

Testing & Debugging
8

Monitoring, Scaling, and Continuous Improvement

We set up real-time monitoring and alerting to detect issues before they impact operations. Automated scaling strategies ensure your platform can handle increasing data loads efficiently.

Tools and Technologies We Use

We have extensive experience in working with the following Databricks tools & technologies 

MySQL

MySQL

PostgreSQL

PostgreSQL

MongoDB

MongoDB

Cassandra

Cassandra

Apache Hadoop

Apache Hadoop

Delta Lake

Delta Lake

AWS Redshift

AWS Redshift

azure blob storage

Azure Blob Storage

aws s3

AWS S3

azure data lake storage

Azure Data Lake Storage

Why You Should Hire Intuz Developers for Databricks Projects

All-in-One Data Platform

Proven Expertise

With years of experience in Databricks, Apache Spark, and cloud platforms, we deliver results from day one—assisting with DevOps integration, prototype development, production planning, etc. We’re the real deal!

Seamless Data Processing

Certified Professionals

Our developers hold Databricks certifications in Apache Spark Development, data engineering (Associate & Professional), data analysis and ML, and cloud architectures, such as AWS, Azure, and Google Cloud.

Effortless Data Integration

End-to-End Support

We go beyond writing scripts. Whether you’re setting up your environment, fine-tuning performance, or troubleshooting issues, we’re with you every step of the way. You can email, chat, or call us any time!

Built-in Security & Compliance

Focus on Business Value

Want to maximize ROI from your Databricks consulting services investment? Intuz makes that happen for you. Our solutions are designed to reduce costs, automate processes, and glean real insights.

Cloud-Ready Flexibility

Transparent Communication

When you hire our Databricks developers, you’re always kept in the loop, receive regular updates, and have full visibility into your project. We believe transparency is the best way to nurture a long-term partnership, and we do it well.

Questions You May Have

What is Databricks, and how it can help my business?

Data bricks is a unified platform for big data workloads. With Databricks, you can make data driven decisions to grow you business.

What industries or use cases is Databricks best suited for?

Databricks is versatile and can be applied across all industries whether it is Retail, Healthcare, Finance, Manufactuing or Marketing.

How is Databricks different from traditional warehouse ?

Databricks processes structured, un-structured as well as streaming data, while traditional warehouse is limited to handle structured data.

What is the difference between cloud services (like AWS, Azure and GCP) and Databricks?

Cloud services provide infrastructure for data storage, computing, and networking. Whereas, Databricks is a data analytics and AI platform, which focuses on analytics and machine learning of Big Data. You can integrate cloud services with Databricks to leverage your data.

Does Databricks supports automation ?

Yes, Databricks supports automation using Databricks Jobs,which allows to schedule and automate workflows.

Is Databricks open source ?

Data bricks is built on open-source technologies, but follows "pay as you go" pricing.

Let’s Talk

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