Design, build, and migrate modern cloud data warehouses that cut costs and scale with your business.
A well-architected data warehouse is the foundation of every enterprise analytics programme. Our Data Warehouse Consulting services cover the full lifecycle — from architecture design through implementation and ongoing optimisation. We specialise in modern cloud data warehouses including Snowflake, Amazon Redshift, Google BigQuery, and Azure Synapse Analytics. Our consultants design dimensional models using Kimball methodology or Data Vault 2.0, implement robust ELT pipelines, and establish data quality and observability frameworks from day one.
We also handle complex migrations from legacy warehouses (Teradata, Oracle Exadata, SAP BW, Netezza) to cost-effective cloud solutions — often cutting infrastructure spend by 50% or more while delivering 10x faster query performance. Our post-migration FinOps practice keeps your warehouse lean as it grows: continuous workload tuning, caching strategy, materialised views, and right-sized compute.
What you get when you partner with us on Data Warehouse Consulting.
Certified senior engineers with 10+ years building Data & Analytics systems for regulated and high-growth businesses.
From discovery and design through implementation, deployment, and steady-state operations — one accountable team.
Two-week sprints with working demos, transparent burn-downs, and outcomes you can measure each fortnight.
Distributed senior teams in India, UK, US, and UAE — your delivery window matches your business hours.
ISO 27001 certified processes, SOC 2 ready, GDPR and HIPAA-aware controls baked in from day one.
Fixed-bid, time-and-material, dedicated squad, or staff augmentation — we match the model to your reality.
We map your business goals, current state, constraints, and the success metrics that matter to you. Output: a written brief with prioritised use-cases.
We define the right approach, target architecture, and a phased delivery plan with clear milestones, dependencies, and risk register.
Our architects design solutions that are scalable, secure, observable, and maintainable. We share the design with your engineers for review.
We build in bi-weekly sprints with working demos, automated testing, and code reviews. You see progress every two weeks, not at the end.
We roll out with zero-downtime strategies — blue-green, canary, feature flags — and a documented rollback plan for every release.
We hand over with full documentation and runbooks, then stay engaged for support, optimisation, and continuous improvement.
Tools and platforms we use day-to-day for Data Warehouse Consulting. We are tool-agnostic — we pick what fits your stack.
Most engagements scope between 6 and 16 weeks depending on the size of your environment and the use-cases in scope. We share a phased plan with milestones during the discovery sprint, and we are explicit about what is included and what is not.
We support fixed-bid for well-scoped work, time-and-material for evolving work, and dedicated-squad for long-term partnerships. Pricing is based on team composition, duration, and delivery model — we share a transparent cost breakdown before commit.
Both. We can run delivery end-to-end with an accountable Ketpy squad, or we can embed senior engineers into your existing team. Many of our clients start with end-to-end and transition to a hybrid as their internal capability grows.
We are ISO 27001 certified with SOC 2 controls. We sign NDAs and DPAs upfront, follow least-privilege access by default, audit-log every action, and never offshore your data without written approval. For regulated industries we follow HIPAA, GDPR, RBI, and SEBI guidance as applicable.
Tell us what you are building and we will get back inside one business day with a written brief and a recommended next step.
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