Databricks
Development Services
What We Offer
Delta Lake Implementation & Optimization
Scalable Delta Lake architecture within Databricks for secure and performant data storage. Our team implements lifecycle policies, access controls, and performance optimization for your workloads.
MLflow Implementation & Optimization
Intelligent MLflow configuration to eliminate manual tasks and accelerate processes. Our Databricks experts build rule-based triggers, approval chains, and conditional logic that save your team hours every week.
Unity Catalog Implementation & Optimization
Scalable Unity Catalog architecture within Databricks for secure and performant data storage. Our team implements lifecycle policies, access controls, and performance optimization for your workloads.
Databricks Performance Tuning
Optimize query performance, indexing strategies, and caching layers within your Databricks environment. Our specialists identify bottlenecks and implement solutions that reduce response times by 50-80%.
Databricks Integration & API Development
Seamless integration of Databricks with PySpark, Spark SQL, Delta Live Tables and your broader technology ecosystem. Custom API development, data synchronization, and workflow automation.
Ongoing Support & Performance Optimization
Dedicated Databricks support team for monitoring, troubleshooting, and continuous optimization. Proactive performance tuning, security updates, and feature enhancements to keep your system running at peak efficiency.
How It Works
Databricks Technical Discovery
Day 1-2In-depth assessment of your Databricks requirements, existing codebase, and technical architecture. Define project scope, milestones, Delta Lake, MLflow stack decisions, and team composition.
Databricks Developer Matching
Day 2-4Hand-select Databricks engineers from our vetted bench based on your tech stack (Delta Lake, MLflow). Set up development environment, PySpark, Spark SQL CI/CD pipelines, and communication channels.
Sprint Planning & Databricks Architecture
Day 4-7Establish agile sprint cadence with your team. Finalize Databricks architecture decisions, define API contracts, set up monitoring with PySpark, Spark SQL, and begin the first development sprint.
Databricks Development & QA
Day 7-10Iterative Databricks development with code reviews, automated testing via PySpark, Spark SQL, and QA validation each sprint. Daily standups and weekly demos keep all stakeholders aligned.
Databricks Deployment & Delivery
OngoingProduction deployment with monitoring and alerting in place. Your dedicated Databricks team continues with Delta Lake, MLflow feature development, bug fixes, and performance optimization.
What You Get
More Databricks Resources
Everything you need to hire and manage Databricks talent offshore.
Ready to Build with Databricks?
Tell us your requirements and we'll match you with a pre-vetted Databricks developer. First profiles in 24-48 hours.
You're all set!
We'll send matched profiles within 24-48 hours. Check your email for next steps.