Cloud data platforms,engineered for the enterprise.
Medhyx designs, migrates and optimizes data pipelines, lakehouses and AI platforms on Azure, Databricks and Microsoft Fabric. Built by senior engineers, owned entirely by you.
- 99.99% pipeline SLA
- No vendor lock-in
- FinOps cost guardrails
Trusted by data teams at global enterprises and institutions
We partner with enterprise data leaders to build resilient lakehouses, migrate off legacy platforms and put AI into production. Every engagement is built as code, secured by design and measured against production SLAs, so you get dependable platforms and clear ownership from day one.
Cloud lakehouse engineering
Production Delta Lake, PySpark cluster optimization, multi-cloud lakehouse meshes and fast analytical serving layers, engineered for petabyte scale.
Lakehouse engineering 02 · ModernizationEnterprise cloud migration
Zero-downtime migration from Teradata, Oracle and SQL Server to modern cloud platforms, with dual-run validation and cost controls.
Migration framework 03 · IntelligenceApplied AI & LLMOps
Retrieval-augmented generation, vector databases, model governance and LLM evaluation, with your data kept inside your environment.
AI & LLMOpsHow a Medhyx platform moves your data.
Every source lands, gets refined through bronze, silver and gold layers, and powers analytics and AI in real time.
Senior engineers, embedded in your roadmap.
We work as an extension of your team, not as generic contractors.
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Zero-trust security
Key Vault, private endpoints, VNet isolation and role-based access control are built in from day one.
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Everything as code
Every pipeline, cluster and storage account is defined in Terraform. You keep full ownership, with no proprietary lock-in.
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Cost-aware engineering
We tune compute, auto-termination and storage tiers so your cloud bill grows predictably with the business.
- Azure Data Engineer Associate (DP-203)
- Azure Solutions Architect Expert (AZ-305)
- Databricks Certified Data Engineer
- Microsoft Fabric Analytics
Ways to work with us
Choose the model that fits your stage and timeline.
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Assessment sprint2–4 weeks
A rapid architecture audit, performance profiling and a prioritized roadmap.
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End-to-end platform deliveryFixed scope
Complete design, migration, testing and production handover of your platform.
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Dedicated senior podOngoing
Embedded principal engineers and architects driving continuous platform evolution.
Trusted by data leaders at global enterprises.
What engineering and analytics leaders say about working with our senior pods.
Expertise across the modern data stack.
Certified practitioners on the platforms enterprises run on.
Azure
Databricks
Fabric
Spark
Snowflake
Delta Lake
Kafka
Power BI
Purview
dbt
Terraform
Azure OpenAICommon questions
Three: an assessment sprint (2–4 weeks of architecture audit, profiling and a prioritized roadmap), end-to-end platform delivery (fixed scope, from design and migration through production handover), and a dedicated senior pod (principal engineers embedded with your team on an ongoing basis).
We sign a mutual NDA before discovery begins. All engineering happens inside your own cloud subscriptions, using role-based access and least-privilege principles, with no data leaving your environment. All intellectual property, infrastructure code and pipeline configurations belong to you.
Yes. We use change data capture (CDC), dual-run reconciliation and phased shadow deployments. Whether you are moving from on-premises SQL Server or Oracle, or from a proprietary warehouse to an Azure lakehouse or Snowflake, your daily reporting and applications keep running throughout.
Yes. Our FinOps assessments typically remove 25–45% of unnecessary monthly cloud spend through cluster rightsizing, spot instances, Delta Lake file compaction, storage lifecycle rules and retiring redundant scheduled runs.
Our team is made up of senior practitioners rather than junior generalists, so discovery sessions begin within 48 hours of kickoff, and a full team is typically running sprints within one to two weeks.
Ready to talk about your data platform?
Book a 30-minute discovery call with a principal engineer to discuss your migration roadmap, lakehouse architecture or AI readiness. No sales pressure.