Databricks Consulting, Data Engineering
& Lakehouse Solutions
Ekfrazo Technologies is a Databricks Partner, helping enterprises unlock the full potential of their data through data platform modernization, modern Lakehouse and Medallion architectures, advanced data engineering, enterprise analytics, and AI-driven solutions.
Databricks Consulting, Data Engineering
& Lakehouse Solutions
Ekfrazo Technologies is a Databricks Partner, helping enterprises unlock the full potential of their data through data platform modernization, modern Lakehouse and Medallion architectures, advanced data engineering, enterprise analytics, and AI-driven solutions.
Accelerate Your Data and AI Journey with Databricks
Databricks provides a unified platform for data engineering, analytics, and artificial intelligence. At Ekfrazo Technologies, we help organizations with Data Platform Modernization, moving legacy data warehouses and fragmented data lakes to scalable, secure, and high-performance Lakehouse architectures built on the Medallion Architecture (Bronze, Silver and Gold layers).
As a Databricks Partner, we bring specialized platform knowledge and engineering capabilities to help enterprises manage complex data environments, simplify data operations, and accelerate their journey towards AI-driven business transformation. From data ingestion and transformation to real-time analytics and production-ready AI, we help you turn complex data into actionable business intelligence.
We have earned the trust of clients across industries & geographies.
Our Databricks Capabilities
Our expertise spans the complete Databricks ecosystem, including data architecture, engineering, governance, analytics, machine learning, and platform optimization.
Databricks Lakehouse Architecture
Design and implement modern Lakehouse and Medallion Architectures (Bronze, Silver & Gold) that combine data lake flexibility with data warehouse performance.
- Enterprise Lakehouse Architecture
- Delta Lake Implementation
- Medallion Architecture (Bronze, Silver & Gold)
- Data Lakehouse Modernization
- Multi-cloud Data Platform Integration
Data Engineering & ETL/ELT
Build reliable, scalable pipelines for seamless ingestion, transformation, processing, and delivery of enterprise data.
- Batch & Real-Time Data Processing
- ETL/ELT Pipeline Development
- Apache Spark & PySpark Engineering
- Lakeflow Declarative Pipelines (DLT)
- Data Quality & Validation Frameworks
Data Platform Modernization & Migration
Modernize legacy data warehouses and data lakes into a scalable Databricks Lakehouse, and connect disparate enterprise systems.
- Data Platform Modernization
- Legacy Data Warehouse Modernization
- Data Lake Migration to Databricks
- Cloud Data Platform Migration
- AWS, Azure & Google Cloud Integration
Data Analytics & Business Intelligence
Turn enterprise data into meaningful insights through advanced analytics, SQL engineering, and BI solutions.
- Databricks SQL & SQL Warehousing
- Enterprise Data Warehousing
- Data Modeling & Optimization
- Power BI & Tableau Integration
- Self-Service Analytics
Data Governance & Security
Establish enterprise-wide governance, security, and compliance frameworks for trusted, controlled access to data.
- Unity Catalog Implementation
- Data Access Governance
- Data Lineage & Discoverability
- Role-Based Access Control
- Data Security & Compliance
AI, Machine Learning & Generative AI
Develop, deploy, and manage enterprise AI and machine learning solutions on the Databricks ecosystem.
- MLflow & Model Lifecycle Management
- Generative AI & LLM Applications
- RAG-Based Enterprise AI Solutions
- Databricks Mosaic AI
- MLOps & Model Serving
Real-Time Data & Streaming
Enable real-time data processing and analytics for business-critical applications and operational intelligence.
- Spark Structured Streaming
- Kafka & Event-Driven Architecture
- Real-Time Data Ingestion
- Streaming ETL Pipelines
- Real-Time Analytics & Monitoring
Platform Optimization & Managed Services
Ensure consistent platform performance, cost efficiency, scalability, and operational reliability.
- Databricks Performance Optimization
- Spark Job & Cluster Optimization
- Cloud Cost Optimization
- Platform Administration & Monitoring
- Ongoing Support & Managed Services
Specialized Databricks Talent
Access experienced Databricks architects, engineers, and AI/ML specialists through flexible engagement models.
- Dedicated Databricks Engineering Teams
- Contract Staffing & Resource Augmentation
- Databricks Solution & Technical Architects
- Senior PySpark & Spark Engineers
- ML, MLOps & Mosaic AI Engineers
Industries We Serve
Healthcare & Life Sciences
Manufacturing
Retail & Consumer Goods
Banking & Finance
EdTech
Fintech
Why Choose Ekfrazo for Databricks?
Databricks Partnership
Leverage our Databricks partnership and platform-focused capabilities to accelerate your data transformation initiatives.
Specialized Engineering Talent
Access experienced Databricks architects, data engineers, PySpark developers, and AI/ML specialists.
End-to-End Data Engineering
From architecture and ingestion to analytics, governance, and AI deployment, we support the complete data lifecycle.
Cloud & Enterprise Integration
Build integrated data ecosystems across AWS, Microsoft Azure, Google Cloud, and other enterprise platforms.
Flexible Engagement Models
Choose from dedicated resources, team augmentation, consulting, or end-to-end project delivery.
Build a Stronger Data Foundation
Modernizing your data warehouse or moving AI into production?
Whether you are implementing a Lakehouse architecture, building advanced analytics pipelines, or developing enterprise AI solutions, Ekfrazo helps you get more value from Databricks with scalable, secure, and intelligent data platforms.
Specialized Databricks Talent & Engineering Expertise
At Ekfrazo, we combine our Databricks partnership with a strong pool of specialized data engineering professionals who support enterprise data transformation initiatives. We provide experienced professionals across the Databricks ecosystem for consulting, project delivery, and dedicated engineering engagements.
Whether you need a dedicated Databricks engineering team, specialized individual consultants, or end-to-end implementation support, we offer flexible engagement models aligned with your business requirements.
Architecture & Platform Roles
- Databricks Solution Architects
- Databricks Technical Architects
- Data Platform Engineers
- Data Warehouse Architects
- Data Modelers
- Unity Catalog Specialists
Data Engineering Roles
- Databricks Data Engineers
- Senior PySpark Developers
- Apache Spark Engineers
- Azure Databricks Engineers
- AWS Databricks Engineers
- Databricks SQL Developers
AI, ML & Analytics Roles
- ML Engineers & MLOps Specialists
- Generative AI & Mosaic AI Engineers
- Data Analysts & BI Developers
Our Engagement Models
- Consulting & Architecture
- End-to-End Project Implementation
- Dedicated Databricks Engineering Teams
- Contract Staffing & Resource Augmentation
- Managed Services & Ongoing Support
Global Presence
Databricks expertise that travels with your business
Ekfrazo Technologies provides Databricks consulting, implementation, and specialized engineering talent to enterprises across regions, helping teams build and scale modern data platforms wherever they operate.
Case Studies
Reinforcing MTN’s Review Flow with Smart Automation
Case Studies
Accelerating Forex Vendor Onboarding with Intelligent Workflow Automation
A complex, multi-stage approval process was slowing down onboarding and testing. We streamlined the entire workflow through automation, enabling faster releases, improved accuracy, and greater confidence in every deployment.
Case Studies
Digitizing Dispatch and Operations for Trucklink’s Multi-Hub Logistics
Case Studies
How Robas Research Transformed Digital Surveys with Automation
A custom-built research platform that accelerated delivery, increased panel engagement, and scaled globally with ease.
Case Studies
Re-architecting the MoMo PSB App for Speed, Stability, and Scalability
Case Studies
Digitizing NIUM’s Forex & Remittance Operations with a Scalable, API-First Platform
Case Studies
Building MTN Play: A Mobile-First OTT Platform Optimized for Scale and Speed
MTN needed a seamless, low-bandwidth streaming platform to serve millions of users across Nigeria. Ekfrazo delivered a custom-built CMS, lightweight video player, and real-time analytics system designed for performance, engagement, and easy content management.
Case Studies
Salesforce CPQ Implementation for Scalable Quote-to-Contract Automation
FAQs
Is Ekfrazo a Databricks Partner?
Yes. Ekfrazo Technologies is a Databricks Partner, offering Databricks consulting, implementation, integration, optimization, and specialized engineering talent for enterprise data and AI initiatives.
What is a Databricks Lakehouse and Medallion Architecture?
A Lakehouse combines the low-cost, flexible storage of a data lake with the performance and reliability of a data warehouse, giving teams one platform for data engineering, analytics, and AI. We structure it using the Medallion Architecture, where data moves through Bronze (raw), Silver (cleaned and validated) and Gold (business-ready) layers, improving data quality, traceability, and reuse.
Can Ekfrazo help with Data Platform Modernization on Databricks?
Yes. We assess your existing data warehouse, data lake, and pipelines, design the target Lakehouse architecture, and modernize your data platform by migrating data, pipelines, and workloads to Databricks on AWS, Azure, or Google Cloud with minimal disruption.
Which clouds do you support for Databricks?
We deliver Databricks solutions on AWS, Microsoft Azure, and Google Cloud, and integrate them with your enterprise applications, databases, and BI tools such as Power BI and Tableau.
How do you handle data governance and security on Databricks?
We implement Unity Catalog for centralized governance, along with role-based access control, data lineage, data quality management, and security and compliance frameworks so your data stays trusted and controlled.
Do you build AI and Generative AI solutions on Databricks?
Yes. Our teams build machine learning and Generative AI solutions using MLflow, Mosaic AI, model serving, and RAG-based architectures, with MLOps practices to take models from experimentation to production.
Can we hire dedicated Databricks engineers through Ekfrazo?
Yes. We provide Databricks architects, data engineers, PySpark developers, Unity Catalog specialists, and ML engineers through dedicated teams, contract staffing, or resource augmentation.
How do we get started with a Databricks engagement?
Schedule a consultation with our Databricks experts. We will understand your goals and current data landscape, then recommend the right approach, whether consulting, end-to-end implementation, a dedicated team, or managed services.