Production-grade pipelines
Bronze-to-gold lakehouse architecture built for reliability and BI readiness — not one-off notebooks.
Your lakehouse,
fully realized in production.
Databricks is the foundation for enterprise-scale analytics and AI. The Zig designs, engineers, and operates your environment — so your team ships faster, spends less, and builds on solid ground.
Lakehouse delivery
Unity · FinOps · Azure-native delivery
Unity Catalog, pipelines, and governed consumption from day one
FinOps visibility: tagging, chargeback, and cluster efficiency as standard
Azure-native integrations: Fabric, Power BI, and MLflow in one operating model
Engineering-led · outcome-scoped
What we bring
Most organisations run Databricks well below its potential. The Zig closes that gap.
0
Day data
warehouse build
warehouse build
0
Day ZeroToAI™
framework
framework
0
Years Microsoft
& Data partner
& Data partner
Most teams are constrained by governance gaps, spiralling compute costs, and engineers stretched thin managing infrastructure instead of building with it. The Zig designs the operating model so adoption, governance, and cost discipline stay in lockstep.
We don't stop at activation — we stay in the work through scale, optimisation, and whatever comes next on your lakehouse roadmap.
Cost visibility from day one
Unity Catalog, tagging, and FinOps practices that control spend before it escalates across clusters and workloads.
AI-ready data
Semantic layers, embeddings, and MLflow-backed feature stores so models move from experiment to production in weeks.
Migrations that improve, not replicate
Snowflake, SAP, and legacy platform transitions designed to raise the bar — not replay the same anti-patterns.
Our Databricks Expertise
From activation to scale.
Whether you're just activating Databricks or running complex enterprise workloads, we provide the frameworks to accelerate adoption and deliver measurable ROI.
Platform Activation & Engineering
Infrastructure setup, workspace configuration, Unity Catalog implementation, and end-to-end pipeline deployment from day one.
Governance & Optimization
Tagging strategies, lineage tracking, cost attribution, and FinOps practices to control spend and maintain operational visibility at scale.
Migration & Modernization
Seamless transitions from Snowflake, SAP, or legacy warehouses. We don't just lift and shift — we improve on what you had.
AI & Analytics Enablement
MLflow, Feature Store, generative AI integrations, RAG pipelines, and semantic layers tailored to enterprise workflows.
Operational Support
From monitoring and performance tuning to end-to-end managed operations — we ensure your environment runs reliably as you scale.
ZeroToAI™ Accelerator
Our proven framework: from disconnected data silos to AI-enabled workflows running on your Databricks lakehouse — in just 90 days.
FAQ
The full stack,
The full stack,
handled.
We provide the complete Databricks service layer — so you can focus on building, not managing complexity.
Preconfigured infrastructure via Terraform and workspace setup
Unity Catalog configuration and access governance
End-to-end ETL pipelines (bronze → silver → gold layers)
BI readiness: Power BI and reporting layer integration
Tagging strategies for cost tracking and operational visibility
Unity Catalog setup and data asset governance
Data lineage documentation and access controls
Compliance-ready governance frameworks
Usage monitoring and cost attribution by team and workload
Intelligent autoscaling configuration
Budget forecasting, alerts, and consumption guidance
Regular FinOps reviews and optimization check-ins
Snowflake → Databricks migration frameworks
SAP data integration and legacy platform transitions
Fast POCs, roadmap planning, and data movement strategy
Performance forecasting and regression testing
Generative AI prompt pipelines and intelligent dashboards
MLflow model operations and Feature Store management
RAG pipeline design and embedding layers
Power BI and BI tool integration on top of Databricks
Customised support packages, patching, and backup
Incident resolution and performance tuning
Regular reviews and strategic roadmap planning
Cost-optimization check-ins and proactive monitoring
From the Field
Real outcomes,
Real outcomes,
real clients.
These are the data and analytics transformations The Zig has delivered — on time, with measurable impact.
Azure Data Engineering Breeze Autocare
A Centralised Data Warehouse, Built from Scratch in 30 Days
Fragmented POS data across three systems (PMA, DRB, IBA) producing static weekly PDFs — replaced with a unified Azure data warehouse that became the foundation for every analytics and AI capability that followed. Four years on, the same architecture is still powering the business.
Read case study 30d full build
3× POS systems unified
4yr same foundation
"The most valuable infrastructure investments are the ones that create optionality. Building the right foundation early compresses the time and cost of everything built on top of it."
Analytics Migration · Power BI Salad and Go
Tableau → Power BI on Azure Fabric in 2.5 Months
A fast-growing QSR chain's analytics stack was misaligned with its Azure-first data strategy. The Zig migrated the full reporting layer to Power BI — not as a like-for-like replica, but with improved visualisations that exceeded the original Tableau capability.
2.5m full migration
Read case study
AI Document Intelligence Stout
Days of Manual Work. Now Done in Minutes.
Analysts at this leading financial advisory firm were manually reviewing hundreds of pages per deal to extract a handful of critical fields. The Zig replaced that process with a purpose-built document intelligence platform processing complex financial documents in 5–8 minutes, at any scale.
80% efficiency gain
Read case study
Why Choose The Zig
The difference is
The difference is
in the delivery.
01 — Partnership
Microsoft + Databricks Expertise
Certified in Microsoft Fabric, Power BI, and Azure AI — with a 5-year track record as a Microsoft Partner. We understand how Databricks and the Microsoft ecosystem work together, and we build integrations that hold up in production.
02 — Framework
ZeroToAI™ Methodology
A proven path from disconnected data silos to AI-enabled workflows on your Databricks lakehouse — in just 90 days. Not an exploration. A structured programme with measurable milestones at every stage.
03 — Outcomes
Outcome-Oriented, Always
We don't hand over a proof of concept and walk away. Every engagement is tied to concrete KPIs — cost reduction, faster analytics, AI readiness. We stay through implementation, adoption, and whatever comes next.
Ready when you are
Ignite your lakehouse — smarter, faster, more cost-efficiently.
We'll be direct about architecture, delivery, and the fastest path to production outcomes on Databricks. No slides, no theatre — just an honest conversation about your environment.