
Build Scalable, Reliable Data Pipelines with Databricks
Lucent Innovation delivers complete Databricks Engineering Services from fresh setups to fixing old ones that break under load. We handle data engineering to pull messy data from different sources, clean and transform, then set up pipelines that run smooth even when volumes grow.
Certified Databricks Experts
Enterprise-grade delivery
Scalable & SLA-driven pipelines
Scaling data pipelines on databricks often leads to performance issues due to small files, inefficient joins, and poor auto-scaling. But in terms of solution smart partitioning, and strong governance ensure your pipelines scale smoothly without cost overruns.
Let’s Discuss Your Databricks NeedsWe provide end-to-end data engineering services with Databricks and scale your data infrastructure efficiently and reliably.
We design robust, scalable data architectures by using Databricks Lakehouse framework and combine them with data lakes for performance of data warehouses. Using these architectures we reduce complexity and optimize infrastructure costs while supporting your long-term growth.
Our team builds high-performance ETL/ELT pipelines that transform raw data into analytics-ready formats. Using Databricks Spark capabilities, we handle complex transformations and multi-source integration data flows seamlessly.
We enable both batch and real-time streaming workflows to meet diverse business needs. Whether processing historical datasets or ingesting live streams from Kafka, we provide low-latency processing at scale.
We implement Delta Lake to bring ACID transactions and time travel capabilities to your data lake. By ensuring data reliability, simplifies versioning for maintaining high data quality in production environments.
We manage seamless migrations from legacy systems or other cloud platforms to Databricks. We approach minimizes downtime, preserves data integrity, and accelerates time-to-value with proven migration frameworks.
Our engineers established governance and data quality frameworks with automated validation, access controls, and compliance monitoring. Our solutions ensure data reliability, security like GDPR and HIPAA for building trust across your organization.
We build scalable data platforms on Databricks from start to finish without hand-off and gaps. Our lakehouse first approach combines reliability and delivers production-ready pipelines that handle massive data volumes while keeping costs low and your business moving forward.
Build modern data platforms
End-to-end mindset
Execution focus
Lakehouse philosophy
Scalability + reliability angle
Understand your data challenges and define a clear roadmap
Design a robust and scalable Databricks platform
Develop high-performance pipelines and data workflows
Launch production-ready solutions with zero downtime
Monitor, tune, and scale for continuous performance improvement
EuropeThe European based e-commerce company relied on a manual customer support system where staff answered every question by hand through email, live chat, or support tickets.
Our team developed a custom AI-powered customer support system that integrates fully with the Shopify store. The solution automates responses to common customer questions and manages real-time interactions.


Companies pick out databricks experts because we are providing real value rather than just signing up. We try to help from common traps like exploding costs, slow pipelines, and messy data. However, we bring hands-on fixes like optimized Spark jobs, proper Delta Lake setups, and cost controls that work when data volumes spike.
We show you exactly what you have to pay upfront with no surprise fees. You only pay for the data engineering work your project actually needs, so, pick up the pricing model that works for your budget and timeline.
Hire databricks engineers who work only on your data platform. You get direct control over the team, priorities, and how work gets done.
Hourly Rate (USD)
Hire databricks engineers who bill by the hour. This works for pipeline fixes, performance tuning, and ongoing maintenance. Pause or scale up anytime you need.
Monthly Rate (USD)
Get consistent data engineering support with senior Databricks developers who spend 160 hours each month building your platform. Works for both short sprints and long-term projects.
We don't just consult. We build, deploy and own your data engineering outcomes. Our hands-on approach with Databricks transforms messy data operations into reliable, scalable platforms that power analytics and AI.
Faster Platform Maturity

Reduced Tech Debt

Production-Ready Pipelines

Stronger Data Reliability

AI-Ready Data Foundation

24/7 On Call Support

Protect your business growth with our extra services and built to ensure your data strategy stays strong and efficient.
A glimpse into what our clients think of the work we've done together.
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