Data Engineering Services with Databricks

Data Engineering Services with Databricks

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 logo

Certified Databricks Experts

Enterprise-grade delivery logo

Enterprise-grade delivery

Scalable & SLA-driven pipelines logo

Scalable & SLA-driven pipelines

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Scaling Data Engineering on Databricks Isn’t Easy

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 Needs
Pipeline reliability issues
Slow time-to-production
Fragmented ingestion & orchestration
Governance & data quality gaps
Lack of experienced Databricks engineers

Our Databricks Data Engineering Services

We provide end-to-end data engineering services with Databricks and scale your data infrastructure efficiently and reliably.

Data Platform Architecture on Databricks development

Data Platform Architecture on Databricks

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.

ETL/ELT Pipeline Development development

ETL/ELT Pipeline Development

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.

Batch & Streaming Data Engineering development

Batch & Streaming Data Engineering

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.

Delta Lake Implementation development

Delta Lake Implementation

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.

Data Migration to Databricks development

Data Migration to Databricks

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.

Data Governance & Quality Frameworks development

Data Governance & Quality 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.

Our Databricks-First Approach to Data Engineering

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 logo

Build modern data platforms

End-to-end mindset logo

End-to-end mindset

Execution focus logo

Execution focus

Lakehouse philosophy logo

Lakehouse philosophy

Scalability + reliability angle logo

Scalability + reliability angle

How We work

1
Assessment

Understand your data challenges and define a clear roadmap

2
Architecture

Design a robust and scalable Databricks platform

3
Build

Develop high-performance pipelines and data workflows

4
Deploy

Launch production-ready solutions with zero downtime

5
Optimize

Monitor, tune, and scale for continuous performance improvement

Real-World Databricks Data Engineering Scenarios

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Location PinEurope

AI-Powered Customer Support System for Shopify

Challenge Faced:

The 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.

Solution:

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.

Core Technologies Used

ReactNode.jsDatabricksAWSMySQLShopifyRAG
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Project Preview

Outcomes Achieved

40%
faster response times
30%
improved customer satisfaction
30%
volume handled without extra staff
>
why choose expert logo

Why Leading Companies Partner with Our Databricks Team

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.

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Proven Track Record of Success
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24/7 Support and Maintenance
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Comprehensive End-to-End Solutions
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Flexible Engagement Models
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Cutting-Edge Databricks Stack
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Strict NDA and Confidentiality
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Deep Customization & Integration
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ISO-Certified Processes

Engagement Models

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.

Build a Dedicated Team

Hire databricks engineers who work only on your data platform. You get direct control over the team, priorities, and how work gets done.

  • ✔️Talk directly with your engineers
  • ✔️Ship pipelines faster

From $50/hr

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.

  • ✔️Good for specific tasks
  • ✔️Clear hourly tracking

From $4000/month

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.

  • ✔️Best for ongoing platform works
  • ✔️Full pipeline and infrastructure support

Benefits of Partnering for Databricks Data Engineering

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

Faster Platform Maturity logo

Reduced Tech Debt

Reduced Tech Debt logo

Production-Ready Pipelines

Production-Ready Pipelines logo

Stronger Data Reliability

Stronger Data Reliability logo

AI-Ready Data Foundation

AI-Ready Data Foundation logo

24/7 On Call Support

24/7 On Call Support logo

Explore More Data & AI Capabilities

Protect your business growth with our extra services and built to ensure your data strategy stays strong and efficient.

What Our Clients Say

A glimpse into what our clients think of the work we've done together.

“No task was impossible, and they delivered. It was so cool to dream big and have the results become a reality, thanks to their dedication, technical expertise, and seamless execution.”

Treva Stone

Treva Stone

CEO, Moonglow Australia

“Good developers with experienced knowledge and who are always willing to suggest ways to improve your workflow. Their support and expertise have been invaluable in enhancing our project’s efficiency and overall success.”

Gibson Tang

Gibson Tang

Director of Engineering, Mighty Jaxx

“I am impressed with their ability to get things done quickly while maintaining high quality. They were responsive, easy to work with, and ensured everything was delivered as promised.”

James Owen

James Owen

Owner, Raintree Nursery

“We were impressed with their timelines, accuracy, and understanding of business and technical requirements. Their proactive approach and seamless execution made the entire process smooth and efficient.”

Ujjawal Kothari

Ujjawal Kothari

AVP- eCommerce & Social Media, Iconic

“They were very humble and nice to work with, always responsive and willing to go the extra mile to ensure our needs were met efficiently and professionally.”

Soumik Ganguly

Soumik Ganguly

Founder, Liberecas

“The team truly goes above and beyond to ensure everything looks and functions exactly how we envisioned. And we’re genuinely happy with the results.”

Jack Bensason

Jack Bensason

Former CEO of Trestique Beauty

“Lucent Innovation dramatically improved our website speed—the integration of crucial features enhanced user engagement and our e-commerce capabilities.”

Akshay Khatri

Akshay Khatri

Manager Marketing (D2C Head) - Noise

“Nicobar's smooth migration was achieved through Lucent Innovation's structured planning and patient approach. They demonstrated their reliable expertise and minimized potential disruptions.”

Anoop Roy Kundal

Anoop Roy Kundal

Former Consultant & Technology Head - Nicobar Design Pvt. Ltd.

“Lucent Innovation's excellent e-commerce development and SEO skills led to improvements in TMC's website speed, conversion rates, and Google Ranking.”

Radhika Nangia

Radhika Nangia

Assistant Manager (D2C) - The Man Company

Frequently Asked Questions

Still have Questions?

Let’s Talk

Can Databricks handle real-time data streaming?

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How much does Databricks cost for data engineering projects?

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How does Databricks compare to building custom Spark pipelines?

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How long does it take to migrate data pipelines to Databricks?

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Do I need a dedicated Databricks engineer or can my existing team learn it?

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