Transform Data Engineering with Databricks Lakehouse

Databricks Consulting

Being a registered Databricks partner, GeoPITS provides Databricks consulting services including lakehouse architecture, ETL pipelines, migration, and advanced analytics for scalable data platforms.

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Organizations today need scalable platforms to process large volumes of data efficiently. Databricks helps to unify data engineering, analytics, and machine learning through the modern lakehouse architecture. At GeoPITS, our experienced Databricks consultants help enterprises design, implement, and optimize Databricks platforms to accelerate data-driven decision making. Our Databricks experts build robust data pipelines, modern analytics platforms and scalable lakehouse architectures that empower organizations to unlock the full potential of their data.

How can Databricks
Lakehouse help you ?

Databricks combines the reliability of data warehouses with the scalability of data lakes to create a lakehouse architecture that supports analytics, real-time processing, and machine learning on a unified platform. As a registered Databricks partner and an experienced Databricks implementation specialist, we bring strong expertise across data engineering, lakehouse architecture, governance, performance tuning, and AI readiness.

Here is how we can help:
Build scalable data pipelines
Implement lakehouse architectures
Modernize legacy data platforms
Improve data governance & performance

Our Databricks Consulting Services Offerings

We provide end-to-end Databricks consulting solutions designed for modern businesses
01
Databricks Lakehouse Implementation
02
Data Engineering on Databricks
03
Databricks SQL and BI Enablement
04
AI and ML on Databricks
05
Unity Catalog and Governance Implementation
06
Databricks Migration and Modernization
07
Databricks Performance and Cost Optimization
Design and deploy scalable lakehouse architectures
Medallion architecture (Bronze, Silver, Gold layers)
Delta Lake implementation
Structured & semi-structured data pipelines
Cloud storage integration (ADLS, S3, GCS)
Databricks SQL setup for BI workloads
ETL / ELT development with PySpark & SQL
CDC-based incremental pipelines
Real-time streaming integration (Kafka, Event Hub, Kinesis)
Job orchestration & automation
Performance optimization for large-scale workloads
Warehouse configuration & optimization
Integration with Power BI, Tableau, Looker
Semantic modeling & KPI standardization
Query tuning and cost optimization
Dashboard performance enhancement
ML model training using Databricks ML
Feature engineering & feature store setup
ML flow tracking & model registry
Generative AI (RAG-based solutions)
AI-ready data pipelines
Unity Catalog setup & configuration
Role-based access management
Data lineage tracking
Secure multi-workspace architecture
Compliance-ready lakehouse design
Migration from Snowflake, Redshift, Synapse, Hadoop
On-prem to cloud migration
Code conversion & performance benchmarking
Data validation & reconciliation
Right sizing of cluster
Auto-scaling configuration and Query tuning
Job optimization & workload separation
Cost governance & usage analytics
01
Databricks Lakehouse Implementation
Design and deploy scalable lakehouse architectures
Medallion architecture (Bronze, Silver, Gold layers)
Delta Lake implementation
Structured & semi-structured data pipelines
Cloud storage integration (ADLS, S3, GCS)
Databricks SQL setup for BI workloads
02
Data Engineering on Databricks
ETL / ELT development with PySpark & SQL
CDC-based incremental pipelines
Real-time streaming integration (Kafka, Event Hub, Kinesis)
Job orchestration & automation
Performance optimization for large-scale workloads
03
Databricks SQL and BI Enablement
Warehouse configuration & optimization
Integration with Power BI, Tableau, Looker
Semantic modeling & KPI standardization
Query tuning and cost optimization
Dashboard performance enhancement
04
AI and ML on Databricks
ML model training using Databricks ML
Feature engineering & feature store setup
ML flow tracking & model registry
Generative AI (RAG-based solutions)
AI-ready data pipelines
05
Unity Catalog and Governance Implementation
Unity Catalog setup & configuration
Role-based access management
Data lineage tracking
Secure multi-workspace architecture
Compliance-ready lakehouse design
06
Databricks Migration and Modernization
Migration from Snowflake, Redshift, Synapse, Hadoop
On-prem to cloud migration
Code conversion & performance benchmarking
Data validation & reconciliation
07
Databricks Performance and Cost Optimization
Right sizing of cluster
Auto-scaling configuration and Query tuning
Job optimization & workload separation
Cost governance & usage analytics

Cloud Platforms we support

Azure Databricks

Lakehouse architecture design on Azure and integration with Azure Data Factory, Synapse and ADLS

AWS Databricks

Data lake and lakehouse architecture using Amazon S3 and integration with AWS services such as Glue, Redshift, and Lambda

GCP Databricks

Integration with BigQuery and Google Cloud Storage along with Lakehouse architecture implementation

Why Choose GeoPITS for Databricks Consulting Services

Well trained team

Strong foundation in data engineering, database management, and BI

Multi-platform Expertise

Full-stack expertise on databases, engineering, warehousing, BI and AI.

Technical Clarity

Expertise in Databricks lakehouse architecture, data governance frameworks, and best practices for building scalable, secure, and high-performance data platforms.

Secure and Trustable

Enterprise-grade security & compliance alignment with ISO standards

Flexible Model

Flexible engagement models (implementation, advisory, managed services)

What is covered in Databricks Services

Assessment & Strategy
Evaluate existing data platforms and define the Databricks roadmap.
Architecture Design
Design lakehouse architecture aligned with business and analytics requirements.
Ongoing Support
Provide continuous monitoring, tuning, and platform management.
Optimization
Improve performance, scalability, and cost efficiency.
Implementation
Develop pipelines, configure clusters, and integrate data sources.

What is covered in Databricks Services

Assessment & Strategy
Evaluate existing data platforms and define the Databricks roadmap.
Architecture Design
Design lakehouse architecture aligned with business and analytics requirements.
Ongoing Support
Provide continuous monitoring, tuning, and platform management.
Optimization
Improve performance, scalability, and cost efficiency.
Implementation
Develop pipelines, configure clusters, and integrate data sources.

Why Businesses Choose GeoPITS for Database Management Services?

GeoPITS is an ISO certified database company which combines deep database expertise, proactive monitoring, and secure, scalable cost effective operations that empowers our clients to focus on growth while we take care of their data.
"We have enjoyed working with GeoPITS for 3 years and hope to continue working with them for a long time. Their expert team of dba's are professionals at what they do, always responsive, and an important part of our devops team."
Farzin Arsanjani
CEO, HyperOffice
GeoPITS team was very professional, knowledgeable and incredibly quick to respond with great communication throughout this project from beginning to end. It was a pleasure to work with them and I will definitely reach out again for any requirements.
Chris General
IT Director, CHCB Inc.
Our engagement experience with Geopits has been great. They delivered on our expectations on time with great emphasis on quality. Will definitely work with you guys again :)
Santhosh Mogili
Co-Founder,Opt IT Solution
We had a great opportunity to receive Database support from GeoPits tech support team. The service we received from the team for MS-SQL database support was beyond excellence coupled with high quality and quick turnaround time for all the issues. Geopits tech team are very friendly, knowledgeable and professional and you will not be disappointed availing their services.
Arun Velayudham
CEO, Tutelage
I have been very pleased with GeoPITs’ level of expertise, responsiveness, thoroughness in managing our MS SQL Server database environment in Azure, and their ability to work effectively to resolve problems. They quickly became a valuable extension of our IT team and were our trusted resource for SQL Server-related responsibilities.
Arravindhan
FocusdataTech, Vice President
The insights and contributions GeoPITS has made to me and my company are something I highly value. They were genuinely interested in understanding our business and helping us in our SQL Server needs. They have fully understood the intent behind our needs and offered suggestions to handle things.
Neeraj Ambikar
CEO, Datapatrol Technologies
Zealitech Solutions had an opportunity to work with Geo Platinum IT Services (Geopits) for the last two years. The experience was awesome as we got a wonderful partner to work with. They have proven to be a very reliable partner with highest integrity in getting things done. We are utterly satisfied with Geopits and their decision making as their approach to a problem is very practical and solution oriented.
Vigneshwaran
Managing Director, ZealiTech
More Information

Read through Real Success Stories!

View case studies →
November 19, 2025

How GeoPITS Reduced a Retail enterprise’s Data Processing Time from 10 Hours to 45 Minutes with a Unified Azure Lakehouse

A modern lakehouse architecture using Azure Databricks, Delta Lake, and automated pipelines for analytics and machine learning.
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November 18, 2025

How GeoPITS helped IIHT Modernize Its E-Learning Platform by Migrating from Monolithic Architecture to Microservices

Seamless SQL Server to PostgreSQL migration for 456 clients with secure, scalable, and isolated data environments.
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Frequently Asked Questions

Why should we choose GeoPITS for Databricks consulting?

Because we combine strong database expertise with real-world consulting experience, helping organizations use Databricks in a way that is both scalable and practical.

Does GeoPITS help with building data pipelines in Databricks?

Yes, our team can help design and build reliable data pipelines so your data flows smoothly from source systems into analytics and reporting layers.

What if we already use Databricks but want to improve performance?

n that case, we review your current setup, identify what might be slowing things down, and make practical improvements to help your workloads run more efficiently.

Can GeoPITS help if we’re planning to move our data platform to Databricks?

Yes, we support organizations in smoothly migrating their existing data platforms to Databricks while making sure performance and data integrity are maintained.

How can GeoPITS help you get started with Databricks?

Our team works closely with you to understand your data setup and business goals, then helps design and implement a Databricks environment that fits your needs.