Delivering measurable outcomes with Data & AI
Move from fragmented data silos to production-ready AI agents- built in 4 weeks or less.
Wishtree x
Databricks
Here's what our leaders have to say about how we use Databricks to deliver contextual relevance, speed, efficiency and a business edge to our clients.
Lakehouse architecture built for AI workloads
We execute Databricks-aligned migrations – from legacy ETL modernization to AI-ready lakehouse architectures. Our engineers ensure your Delta Lake is cost-optimized and ready for Agent Bricks and Mosaic AI.
- Unity Catalog Governance
- Real-Time Delta Pipelines
- Production AI on Mosaic AI
- Legacy System Integration
Wishtree engineering capabilities
Delta Lake Architecture
Open lakehouse foundation with ACID transactions, scalable metadata handling, and time-travel capabilities for analytics and AI.
Unity Catalog Data Models
Reusable, industry-specific data models for fintech, healthtech, adtech, supply chain, and HVACR - with full governance and lineage.
Legacy ETL Migration
Migrate from brittle batch ETL and legacy warehouses to governed lakehouse architecture ready for advanced analytics and AI.
Medallion Architecture
Bronze, Silver, Gold structured data layers for systematic cleansing, validation, and business-rule enforcement at scale.
Databricks Mosaic AI
Build and deploy production AI agents on Agent Bricks. Fine-tune foundation models and orchestrate multi-step intelligent workflows.
Agent Bricks
Custom AI agents for fintech, healthtech, supply chain, and HVACR - built natively on Databricks infrastructure and ready to scale.
MLflow & Model Registry
End-to-end ML lifecycle management - experiment tracking, model versioning, and deployment pipelines built on MLflow.
Predictive Models
Industry-specific forecasting, anomaly detection, and intelligent automation models trained and served on the Databricks platform.
Databricks SQL
High-performance SQL analytics on Delta Lake - from ad-hoc exploration to production BI dashboards at enterprise scale.
BI & Reporting Layer
Connect Tableau, Power BI, and Looker to a governed Databricks lakehouse, with semantic layers that business users can trust.
Time-to-Insight Acceleration
Optimized query performance, auto-scaling compute, and pre-built domain metrics to dramatically reduce time-to-insight.
Unity Catalog Governance
Unified data governance - row-level security, column masking, and attribute-based access control across all data assets.
Data Lineage & Auditing
Full end-to-end lineage from source to model. Know exactly where your data comes from and where it flows.
Compliance Frameworks
Built-in controls for GDPR, HIPAA, SOC 2, and PCI DSS - designed for regulated industries like fintech and healthtech.
Lakewatch
Continuous data quality monitoring and anomaly detection across your lakehouse - proactively alerting on schema drift, pipeline failures, and data freshness SLA breaches.
Real-Time Streaming Pipelines
Low-latency ingestion using Databricks Structured Streaming - replacing batch ETL with live data flows into Delta Lake.
Kafka + Redis Integration
Streaming ingestion and near real-time processing via Kafka and Redis - for fraud detection, inventory, and personalization.
Databricks Workflows
Automated ETL job scheduling, orchestration, and monitoring - with GitHub integration for version-controlled deployments.
Enterprise AI, Built the Right Way
Wishtree delivers production-ready AI agents on Databricks Mosaic AI, purpose-built for enterprises that can't afford to compromise on quality or compliance. With built-in security, data governance, and a battle-tested Delta Lake infrastructure at the core, our solutions give your teams the confidence to deploy AI at scale without the complexity, risk, or lengthy timelines typically associated with enterprise AI adoption.
Get the roadmapSuccess stories: Real-world impact with Databricks
Spotlight : BlueRidge
Challenge
Fragmented ETL processes caused lack of unified governance across supply chain analytics.
Solution
Databricks Lakehouse Platform on AWS with Delta Lake, Unity Catalog, Databricks SQL Warehouse, Kafka, Redis, and GitHub-integrated Workflows.
Outcome
Success stories: Real-world impact with Databricks
Spotlight : Confianza
Challenge
Legacy Fortran-based processing took hours to generate consumer insights
Solution
Databricks Lakehouse, PySpark pipelines, Delta Lake, and AWS IAM-governed S3 storage.
60%
50%
40%
99%
Success stories: Real-world impact with Databricks
Spotlight · Hyperpersonalization at scale
Challenge
Customer data silos and batch segmentation prevented real-time, relevant offers.
Solution
Databricks Lakehouse on AWS with Kafka streaming, Customer 360, and agentic AI
35%
Sub-500ms
4x higher
Success stories: Real-world impact with Databricks
Spotlight · Real-time credit risk & payments
Challenge
Batch-based risk scoring caused fraud losses and false positives.
Solution
Databricks Lakehouse on AWS with Kafka, Redis feature store, and MLflow-managed fraud detection models.
Sub-100ms
40%
25%
Why choose Wishtree as your Databricks Partner
15+
50+
25+
200+
300+
750+
Bring your data. We will build your agent.
Share your business process. We will return a working AI workflow on Databricks - running, tested, and ready to scale.
Talk to a Databricks BuilderOur clients have this to say about us
Leaders across industries describe how we engineer smart products, reliable data, scalable cloud, and agentic AI.
"Wishtree was pivotal in evolving our platform from a simple web solution into a sophisticated, multi-agent AI system. As a highly reliable and forward-thinking partner, we view Wishtree not just as a technology provider, but as a strategic ally in shaping our future."
Randeep Sudan
CEO of Multiverz"Wishtree's skilled designers and developers contributed greatly to upgrading our website with custom layouts and icons. They provided the rare expertise in Python and Django that we needed, and have completely met our requirements for ongoing development, support, and maintenance."
Beryl Leach
Director, International Initiative for Impact Evaluation"Wishtree Technologies has moved our company forward for over a decade, managing all our web and mobile solutions from a simple app to a complex proposal tool. Their strong technical skills make them the ideal partner for any complex, time-sensitive, or high-quality project."
Chuck York
Director of Product Management & Sales, Johnson Supply, USA"Wishtree Technologies has exhibited the utmost competence and professionalism in their technical work. They diligently met tough deadlines and showed great flexibility. We highly recommend them for database development."
Mohamed El Zarkani
Programme Manager, IOM, Kuwait"Wishtree Technologies has expertly provided custom software services for us, from web apps to API integration. They are highly skilled at proactively identifying and solving issues, and they excel at presenting well-thought-out options to help us understand our choices and their implications."
Nicole Yankelovich
CEO, Envisiture Consulting, USAFAQs
Why choose Wishtree as your Databricks partner?
Wishtree is an official Databricks partner with proven multiple implementations. We bring industry-specific data models, real-time pipeline engineering, and production AI capabilities. We see the gap between a Databricks license and real value, and we close it.
What industries do you specialize in?
We have deep domain expertise in fintech, healthtech, adtech, supply chain, and HVACR. This means we bring reusable data models, compliance knowledge, and business-context awareness. Our Unity Catalog models are built for your industry's data.
We already have Databricks. How can you help?
Many organizations have Databricks and a handful of AI pilots, but struggle to scale to production. Wishtree provides the Databricks engineering certified capacity to move from a few demos to dozens of production AI applications - with proper governance, real-time pipelines, and custom AI agents built on Agent Bricks.
What does a typical engagement look like?
We begin with a discovery session to map your data landscape and AI goals. We then deliver a phased roadmap - data architecture design, lakehouse build-out, governance setup with Unity Catalog, and AI agent development on Mosaic AI. Most initial deployments are live within 4-8 weeks.
Do you also work with AWS alongside Databricks?
Yes. Wishtree is both an AWS Advanced Partner and a Databricks Partner. We architect the full stack: AWS infrastructure, Databricks lakehouse, Unity Catalog governance, and Mosaic AI agents - all in a unified, cost-optimized architecture.
Can you run Databricks on Microsoft Azure?
Yes. Wishtree deploys and manages Databricks on Azure as well as AWS. We handle the full Azure Databricks stack - workspace setup, Azure Active Directory integration, Azure Data Lake Storage Gen2, Unity Catalog governance, and Mosaic AI agents. If your organisation is already on Microsoft Azure, we architect a native integration that keeps your data within your existing cloud perimeter and compliance framework.
Can Databricks integrate with SAP?
Yes - this is one of the most common integration challenges we solve. SAP systems (S/4HANA, ECC, BW) hold critical operational data that standard ETL tools struggle to extract cleanly. Wishtree builds custom SAP-to-Databricks connectors using SAP ODP, BAPI, or SLT replication, landing SAP data directly into Delta Lake with full schema governance and lineage tracking in Unity Catalog. This unlocks SAP data for real-time analytics and AI workloads without disrupting day-two SAP operations.
What is Lakewatch, and how does it fit into our Databricks environment?
Lakewatch is a continuous data observability layer we implement on top of your Databricks lakehouse. It monitors data quality, schema changes, pipeline health, and data freshness SLAs across your Delta tables - alerting your team proactively before issues reach downstream BI dashboards or AI models.
What if our data lives in legacy or custom systems?
This is exactly where Wishtree excels. If your most valuable data lives in custom-built systems, legacy ERPs, or industry-specific platforms, standard ETL tools will not get you to AI-ready. Our engineers build custom pipelines and connectors designed for your specific systems, feeding clean governed data directly into Delta Lake.
Do you support multi-cloud Databricks deployments?
Yes. Wishtree has delivered Databricks on AWS, on Azure, and in multi-cloud configurations where different business units operate on different clouds. We architect Unity Catalog to span workspaces across clouds, ensuring consistent governance, lineage, and access control regardless of where the compute runs. Delta Sharing lets your teams access governed data across cloud boundaries without moving or duplicating it.
Can Databricks replace our existing data warehouse?
For most workloads, yes, and we have helped several clients make this transition. Databricks SQL Warehouses deliver comparable or better performance to traditional warehouses like Redshift or Snowflake for analytical queries, while the lakehouse architecture eliminates the cost and complexity of maintaining a separate data lake and warehouse. We run a structured warehouse migration assessment to identify which workloads move cleanly, which need rework, and what the total cost of ownership looks like post-migration.
