DatabricksData EngineeringSpecialization

Build. Modernize. Scale.
AI-Ready Data Platforms.

We help organizations build, modernize, and optimize data platforms with Databricks Lakehouse and Delta Lake—driving trusted data, advanced analytics, and AI innovation at scale.

Lakehouse
Architecture
Delta Lake
Reliability
Unified Data
Platform
Analytics
& AI at Scale
Databricks Lakehouse Specialization Art

Our Databricks Expertise

Lakehouse Architecture & Implementation

Lakehouse architecture design and platform engineering for enterprise data lakes, lakehouses, and warehouses.

Our capabilities include:
  • Enterprise data lakes, lakehouses, and warehouses
  • Lakehouse architecture design and platform engineering
  • Delta Lake for reliable, governed processing
  • Medallion architecture: Bronze, Silver, Gold
  • Batch and streaming data processing
  • Structured, semi-structured, unstructured ingestion
  • Reusable platform and engineering standards

ETL, ELT & Pipeline Engineering

Pipeline design and development using PySpark and Spark SQL to ingest and transform data at scale.

Our capabilities include:
  • Pipeline design and development in PySpark & Spark SQL
  • Ingestion from databases, APIs, apps, files, cloud storage
  • Reusable ingestion, transformation, validation frameworks
  • Orchestration, scheduling, dependency & error handling
  • Data quality rules, reconciliation, exception management
  • Monitoring, logging, alerting, operational support
  • Near real-time and streaming processing

Migration & Platform Modernization

Legacy data warehouse and Hadoop platform migration and modernization of traditional ETL workloads.

Our capabilities include:
  • Legacy data warehouse and Hadoop platform migration
  • Modernization of traditional ETL workloads
  • SQL, stored procedure, script, and pipeline migration
  • Redesign for Databricks-native processing
  • Source assessment and workload inventory
  • Dependency analysis and migration planning
  • Validation, reconciliation, testing, cutover support

Performance & Cost Optimization

Spark job and query performance tuning to identify query bottlenecks and configure right-sized compute workloads.

Our capabilities include:
  • Spark job and query performance tuning
  • PySpark and Spark SQL optimization
  • Pipeline bottleneck identification and remediation
  • Delta table design and optimization
  • Compute configuration and workload right-sizing
  • Runtime, failure, resource and cost monitoring
  • Recommendations for operational efficiency

Analytics & Business Intelligence Integration

Preparing curated datasets and semantic reporting layers for BI and analytics tools.

Our capabilities include:
  • Curated datasets and analytics-ready data models
  • Star schema and dimensional model implementation
  • Semantic and reporting layer preparation
  • Integration with Power BI, Tableau, Looker and more

Trusted, Governed Data Products

Secure, governed data products ready for machine learning, generative AI, and enterprise reporting.

Our capabilities include:
  • Dashboards, operational reporting, executive analytics
  • Data preparation for machine learning and generative AI
  • Secure and governed access to enterprise data products
  • Production-focused delivery and support
Accelerated SDLC for Databricks Data Engineering

Representative Databricks Engagements

Restaurant Chain Analytics Platform

Business Need

The organization wanted to integrate franchise systems into a unified data foundation, enabling standardized reporting, consolidated performance analysis, and improved visibility across operations.

Our Approach

We designed and implemented a centralized Databricks analytics platform for the restaurant organization operating across multiple franchises.

We constructed curated datasets to support business reporting with consistent enterprise data.

The Implementation Included
  • Franchise system source assessment
  • Centralized Databricks Lakehouse design
  • Multi-franchise data integration pipelines
  • Curated analytics-ready datasets
  • Unified operational reporting & BI integration
Outcome — The organization established a centralized analytics platform that provided consolidated performance analysis and operational visibility across all franchises.

Healthcare Analytics Platform Modernization

Business Need

Supporting an enterprise Databricks modernization program focused on building and optimizing a large-scale healthcare analytics platform.

Our Approach

Modernizing pipelines, improving processing performance, strengthening engineering reliability, and preparing governed datasets.

Meeting the reliability, security, and operational requirements of healthcare data environments.

The Implementation Included
  • Healthcare data environment audit
  • Pipeline modernization and Spark optimization
  • Reliable Delta Lake implementation
  • High-throughput processing pipeline design
  • Data quality and compliance validation
  • Security and governed access configuration
Outcome — The modernization program successfully established a secure, compliant, and optimized Databricks analytics platform for large-scale healthcare data processing.

Why Choose Our Databricks Team?

Databricks-Certified Expertise

Our practice includes certified data engineers with hands-on experience delivering modern data platforms, migration programs, analytics solutions, and pipeline optimization initiatives.

30+ Data Engineering Professionals

Our broader data engineering team includes more than 30 professionals with deep PySpark, Spark SQL, Delta Lake and modern data architecture skills.

End-to-End Delivery Capability

We support the complete Databricks lifecycle, including:

  • Design and implement a new Databricks data platform
  • Modernize an existing Databricks environment
  • Migrate data and workloads from legacy platforms
  • Build or optimize Databricks data pipelines
  • Augment an existing data engineering team
  • Lead architecture, engineering, migration, or optimization workstreams
  • Provide ongoing platform engineering and support

Practical Data Engineering Experience

Our team combines certified Databricks expertise with enterprise experience across cloud migrations, performance tuning, data pipeline engineering, and BI tool integration.

Flexible Engagement Models

We can support clients through:

  • End-to-end Databricks implementation
  • Defined migration or optimization workstreams
  • Architecture and advisory services
  • Data engineering team augmentation
  • Platform optimization and production support

Frequently Asked Questions

Answering common questions about 3X Data Engineering to help you get started on your modernization journey.

Lakehouse architecture, data platform implementation, ETL and ELT development, PySpark and Spark SQL engineering, Delta Lake implementation, migration, modernization, performance optimization, orchestration, data quality, and BI integration.
Yes. We support migration from traditional data warehouses, Hadoop platforms, legacy ETL environments, and databases — covering assessment, dependency analysis, workload conversion, planning, testing, reconciliation, and cutover.
Yes. We assess and optimize existing platforms, pipelines, Spark jobs, Delta tables, workflows, compute configurations, monitoring processes, and cloud resource utilization.
Yes. We develop analytics-ready data models and integrate Databricks with Power BI, Power BI Direct Lake mode, Tableau, Looker, and other enterprise reporting platforms.
Yes. Our practice includes certified data engineers with hands-on experience delivering modern data platforms, migration programs, analytics solutions, and pipeline optimization initiatives.

Build a Reliable, Scalable Databricks Data Platform

From Lakehouse implementation and legacy migration to pipeline engineering and performance optimization, we help organizations build secure, governed, and analytics-ready enterprise data platforms.

View case studies