Architecting scalable cloud data platforms for enterprise intelligence.
Medhyx Solutions designs, migrates, and optimizes mission-critical data pipelines, modern lakehouses, and AI architectures across Azure, Databricks, and Fabric with proven enterprise reliability.
High-Performance Data Architecture & Applied AI.
We partner with enterprise data leaders to architect resilient cloud lakehouses, execute mission-critical cloud migrations, and operationalize enterprise LLMs.
Cloud Lakehouse Engineering
Production Delta Lake, PySpark cluster optimization, multi-cloud lakehouse meshes, and sub-second analytical serving layers engineered for petabyte scale.
Enterprise Cloud Migration
Zero-downtime migration from legacy on-prem data warehouses (Teradata, Oracle, SQL Server) to modern cloud platforms with dual-run validation and FinOps cost controls.
Applied AI & Production LLMOps
Enterprise Retrieval-Augmented Generation (RAG), vector database topology, automated model governance, and continuous LLM evaluation pipelines with zero data leakage.
What engineering leaders say about our work.
How enterprise teams achieve high-performance cloud lakehouses, sub-minute SLAs, and significant FinOps compute savings with Medhyx.
“Medhyx completely re-architected our Azure Databricks lakehouse pipelines. We reduced our monthly cloud compute spend by 44% while meeting a strict 5-minute data availability SLA across our distributed analytics teams.”
“Migrating our legacy 85TB warehouse into a Delta Lakehouse was a flawless zero-downtime operation thanks to Medhyx. Their PySpark tuning eliminated memory spill issues, and their FinOps guardrails prevented cluster runaways.”
“The Microsoft Fabric and Power BI Direct Lake implementation executed by Medhyx delivered sub-second query performance on massive datasets. Their senior architects are responsive, proactive, and technically elite.”
Why senior technology leaders partner with us.
We operate not as generic contractors, but as specialized senior engineering partners embedded directly within your technical roadmap.
Zero-Trust Security & Compliance
All architectures incorporate Azure Key Vault, VNet peering, private endpoints, and automated role-based access control from day one.
Modular Infrastructure as Code (IaC)
Every pipeline, cluster, and storage account is codified in Terraform. You retain full ownership with zero proprietary vendor lock-in.
FinOps-Driven Engineering
We actively optimize compute runtimes, auto-termination policies, and storage tiers to ensure cloud bills scale predictably with revenue.
Engagement Models
Flexible technical collaboration aligned to your organization's stage and timeline:
Rapid architectural audit, performance profiling, and prioritized roadmap blueprint.
Complete design, migration, testing, and production handoff of cloud lakehouse platforms.
Embedded principal data engineers and architects driving continuous platform evolution.
Everything You Need to Know About Partnering with Medhyx.
Direct, transparent answers regarding our engagement models, technical delivery, security protocols, and ramp-up timelines.
We offer two flexible engagement models: Turnkey Platform Delivery (fixed scope, clear milestones, complete end-to-end design, migration, and cutover with guaranteed SLAs) and Dedicated Senior Engineering Pods (embedded principal data architects and senior engineers integrated with your internal engineering teams on a continuous sprint basis).
We execute mutual Non-Disclosure Agreements (NDAs) before architectural discovery begins. All engineering work is performed directly inside your secure cloud subscriptions using role-based access control (RBAC), least-privilege principles, and zero data exfiltration. 100% of all intellectual property, infrastructure code, and pipeline configurations belong exclusively to your organization.
Yes. We implement automated Change Data Capture (CDC), dual-run reconciliation frameworks, and phased shadow deployments. Whether migrating from legacy on-premises SQL Server/Oracle or proprietary warehouses to Azure Lakehouse or Snowflake, your daily operational reporting and transactional applications continue running without interruption.
Yes. Our architectural FinOps assessments typically eliminate 25%–45% of unnecessary monthly cloud expenditure through compute cluster rightsizing, spot instance orchestration, Delta Lake file compaction (vacuum & optimize), storage lifecycle rules, and decommissioning redundant automated trigger runs.
Because our team consists strictly of verified senior practitioners and architects rather than junior generalists, technical discovery sessions begin within 48 hours of engagement kickoff, with full sprint deployment typically operational within 1 to 2 weeks.