Databricks Data Engineering Services
Build production-grade data pipelines with Databricks. Delta Lake, streaming, ETL automation, and CI/CD by certified data engineering experts.
Data Engineering Solutions We Deliver
ETL/ELT Pipeline Development
Build scalable data pipelines using Delta Live Tables and Databricks workflows
Delta Lake Implementation
Implement ACID transactions, time travel, and data versioning with Delta Lake
Real-Time Streaming
Set up Apache Spark Structured Streaming for real-time data processing
Data Quality Automation
Implement automated data quality checks and expectations frameworks
CI/CD for Data Pipelines
Set up automated testing, deployment, and monitoring for data workflows
Performance Optimization
Optimize Spark jobs, partition strategies, and cluster configurations
Service Packages
Pipeline Starter
- 3 data pipelines development
- Delta Lake setup
- Basic orchestration
- Error handling & logging
- Documentation
- 30-day support
Enterprise Engineering
- Complete data platform
- Delta Live Tables implementation
- Streaming pipelines
- CI/CD setup
- Monitoring & alerting
- 3-month managed support
Engineering at Scale
- Multi-environment setup
- Advanced orchestration
- Auto-scaling configuration
- Custom frameworks
- Team training program
- 6-month managed service
What's Included in Every Project
Architecture Design
Scalable and maintainable pipeline architecture
Delta Lake Setup
ACID transactions and data versioning
Workflow Orchestration
Automated scheduling and dependencies
Error Handling
Robust error handling and retry logic
Monitoring & Alerts
Pipeline health monitoring and notifications
Testing Framework
Unit and integration testing setup
Documentation
Technical docs and runbooks
Code Repository
Git-based version control setup
60-Day Support
Post-deployment assistance
Our Engineering Process
Requirements
Data flow and business logic
Design
Architecture and tech stack
Development
Pipeline implementation
Testing
QA and performance testing
Deployment
Production rollout
Databricks Engineering Training
Train your team to build and maintain Databricks data pipelines with our expert-led courses.
Frequently Asked Questions
What is Delta Lake and why is it important?
Delta Lake is an open-source storage layer that brings ACID transactions, time travel, and data versioning to data lakes. It ensures data reliability and enables you to roll back to previous versions, making it essential for production data pipelines.
How do you handle real-time streaming data?
We implement Apache Spark Structured Streaming with Delta Lake for real-time data processing. This allows continuous ingestion from sources like Kafka, Event Hubs, or IoT devices with exactly-once semantics and automatic recovery.
What's included in CI/CD for data pipelines?
We set up automated testing (unit and integration tests), version control with Git, automated deployment pipelines, environment management (dev/staging/prod), and monitoring/alerting—ensuring your data pipelines are production-grade.
Can you optimize our existing Databricks pipelines?
Yes. We perform comprehensive performance audits, optimize Spark configurations, improve partition strategies, implement caching where beneficial, and reduce costs through right-sizing clusters and optimizing data formats.
Build Production-Ready Data Pipelines
Get a free data engineering consultation. We'll assess your needs and design the right solution.