Databricks

Create a Databricks platform that's built for production, not just proof of concept.

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Platform ambitions are easy to define. Getting there requires the right foundation.

Databricks promises a unified foundation for data engineering, analytics, and AI. Yet many organizations find technical debt, fragmented governance, rising compute costs, and underutilized ML investments limiting the platform’s full potential.

As a certified consulting partner, we understand what success looks like at every stage of the Databricks journey. Our proven delivery model takes you from assessment to production, ensuring every investment delivers lasting value. With experts across the US and India and cloud-agnostic delivery on AWS, Azure, and GCP, we help you build a Databricks environment that drives measurable outcomes today and supports future growth.

How we multiply
outcomes together

Vision
Vision
Data Strategy and Assessment
  • Strategic advisory and discovery workshops
  • Architecture and capability assessments
  • Actionable data and AI strategy roadmap
  • Future-state Databricks Data Intelligence Platform architecture design
  • Readiness assessment report and phased roadmap with POC in 6-8 weeks
Lift
Migration and Modernization
  • Current state analysis and phased migration planning across Delta Lake and Databricks Orchestration
  • Platform modernization using Lakebridge
  • Secure and scalable migration frameworks with business continuity and data integrity controls
  • Migration playbooks for repeatable execution
Forge
Data and AI Platform Buildout
  • Full Databricks implementation across streaming (Autoloader, Delta Live Tables), ETL pipelines (SQL, PySpark, Python), and Bronze-Silver-Gold data modeling
  • ML Pipelines and MLOps using MLflow
  • GenAI and Mosaic AI use cases
  • Delta Sharing and Clean Rooms
  • CI/CD for notebooks
Refine
Governance, Controls and Optimization
  • Cluster tuning, performance audits, and adaptive compute
  • Unity Catalog for centralized governance across workspaces
  • Lakehouse Monitoring for data quality management
  • Cost optimization via resource monitoring and autoscaling
  • Full observability across jobs, SLAs, and data lineage
Boost
Accelerated Delivery and Talent Integration
  • Certified Databricks experts on-demand
  • Agile delivery pods for high-impact workloads
  • Flexible resourcing across FTE, contract, and hybrid models
  • Co-development, enablement, and mentorship
  • Designed for clients who need certified Databricks capacity without full-time hiring
The Result

The Result

A cost-efficient and production-ready Databricks lakehouse with clean Bronze-Silver-Gold pipelines, Unity Catalog access controls and lineage, Mosaic AI and GenAI capabilities, and the observability framework to keep it all performing.

Why
Logic Pursuits

01

Certified Databricks Consulting Partner

Logic Pursuits is a certified Databricks Consulting Partner with validated delivery depth across the data intelligence platform. Our capabilities span lakehouse architecture, Unity Catalog governance, MLflow, Mosaic AI, and Databricks SQL, enabling us to deliver production-ready Databricks implementations.

02

Cloud-Agnostic Expertise

Our team includes 120+ data professionals with expertise across Databricks, Delta Lake, Unity Catalog, MLflow, Spark, and Mosaic AI. With cloud-agnostic delivery across AWS, Azure, and GCP, we help you build the right Databricks environment without being constrained by a single cloud provider.

03

Productized, Accelerator-Driven Delivery

We deliver Databricks engagements through a structured five-track delivery model supported by reusable migration playbooks, architecture blueprints, and implementation accelerators. This approach reduces time-to-value and delivers consistent, repeatable outcomes across enterprise Databricks implementations.

Certified for
excellence

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Improving efficiency in public credit reporting across a multi-fund Asset Manager Improving efficiency in public credit reporting across a multi-fund Asset Manager
Case study
1 /

Improving efficiency in public credit reporting across a multi-fund Asset Manager

Data Analytics | Asset Management | $4 Billion+ Annual Revenue

GET THE DETAILS

900+

Hours saved annually

60-70%

Reduction in manual effort

45+

Reports standardized

Turning fragmented procure-to-pay data into a unified reporting asset Turning fragmented procure-to-pay data into a unified reporting asset
Case study
1 /

Turning fragmented procure-to-pay data into a unified reporting asset

Data Analytics | Asset Management | $4 Billion+ Annual Revenue

GET THE DETAILS

80+

Dynamic Power BI reports delivered

5x

Daily refresh capability

3

Source systems unified

Get the latest insights

outcome outcome

From days of rework to minutes: How Databricks Genie code changed our approach to SQL development