Efficient AI-ready data pipelines and migrations — backed by quality and experience you can trust. Senior architects with 134 combined years moving Fortune 500 workloads to AWS, Azure, and GCP. Fixed-price engagements. No Big 4 overhead.
Trusted by UnitedHealth · Vanguard · Boeing · MasterCard · Rocket Mortgage · Target
These are the exact conversations we have with engineering leaders every week.
"We've been trying to move off our mainframe for 3 years. Every Big 4 quote comes back at $12M+. We need it done for a fraction of that."
"Our on-premises SQL Server clusters are end-of-life. Every migration bid includes 18 months and $8M. We can't wait that long."
"We hired senior data architects but the migration is 6 months behind. I need someone who's actually done this before."
"We bought Snowflake two years ago. My team built something on it. Now nobody knows how it works and costs keep climbing."
"A regulator could ask us who has access to what data tomorrow. I genuinely don't know if we could answer in 24 hours."
Most firms build infrastructure. We build the medallion architecture your AI roadmap actually depends on — bronze for raw landing, silver for conformed and deduplicated, gold for the classified, labeled, AI-ready data your ML team can consume on day one.
Identify, inventory, and collect data from all sources across your organization
Assess quality, completeness, accuracy, and fitness for use across every dataset
Tag, categorize, and apply governance rules — PII, PHI, sensitivity, compliance
Deduplicate, standardize, validate, and repair — eliminate the noise at the source
Structure and annotate data for downstream ML models, analytics, and reporting
Design semantic layers, star schemas, and data products that power trusted decisions
Reports, dashboards, slice-and-dice analytics across every dimension your business tracks
One complete picture. Every team. Every stakeholder. Aligned to your brand and strategy
We also build proprietary in-house tools, optimize existing platforms, train your team on best practices, and lead data strategy at the executive level. We don't just build and leave — we make your organization self-sufficient.
Advisory credits. Fractional experts. On-demand projects. Pick what fits.
Buy advisory credits and use them when you need them. Or bring in a fractional data architect, solution architect, or PM — on your schedule, at your pace. No long-term contracts required.
Need a migration done? A pipeline built? A platform stood up? We scope it, price it, and deliver it end-to-end. Custom solutions built around your problem, not a template.
We manage your project from start to finish and deliver what we promise. Performance-based pricing available — if we don't deliver value, you don't pay.
From raw data engineering to the executive dashboards that drive decisions — we do it all, end to end.
Design the data architecture that scales with your business. Lakehouse, data mesh, medallion, hub-and-spoke — chosen for your needs, not a template.
PII, PHI, sensitivity classification, lineage tracking, data cataloging. Compliant with HIPAA, SOX, GLBA, PCI-DSS, and FedRAMP frameworks.
Deduplication, standardization, validation, anomaly detection. We build quality frameworks that catch problems before they reach your models or dashboards.
Annotation pipelines, semantic layers, star schemas, and data products structured for AI/ML workloads, self-service analytics, and executive reporting.
Power BI, Tableau, Cognos, QuickSight. Enterprise dashboards, slice-and-dice analytics, and KPI frameworks aligned to your brand and business objectives.
80+ years combined DataStage expertise. DBT, AWS Glue, Azure Data Factory, Kafka streaming, Airflow orchestration — built for scale and reliability.
Oracle, SQL Server, DB2, Teradata to Snowflake, Databricks, Redshift. We've migrated half-petabyte warehouses with zero data loss.
Multi-cloud AWS, Azure, GCP. Right-sized infrastructure, IaC, CI/CD, and cost governance. 30–50% typical cloud spend reduction.
Feature stores, vector databases, ML pipelines, and LLM-ready datasets. We build the data foundation your AI initiative actually needs.
We build proprietary tools tailored to your workflows — monitoring dashboards, data quality engines, governance portals, and automation scripts your team actually uses.
We train your team, lead data strategy at the executive level, and leave your organization self-sufficient. Not dependent on us — better than before we arrived.
PMP-certified PMs who manage complex data programs from kickoff to delivery. On time. On budget. With full stakeholder visibility throughout.
Real engagements. Documented outcomes.
Data strategy in healthcare, finance, government, and supply chain is not the same as data strategy anywhere else. We know the difference — from compliance requirements to organizational dynamics to what "good data" actually means in each context.
HIPAA-compliant data pipelines, PHI classification and protection, clinical data integration, patient analytics, and population health platforms. We've built for health systems where data accuracy is a matter of patient safety.
10 years of deep experience in mortgage and financial data — loan origination pipelines, servicing analytics, risk and compliance reporting, HMDA/RESPA data, and SEC/FINRA regulatory frameworks at scale.
Inventory intelligence, demand forecasting platforms, supplier data integration, and end-to-end supply chain visibility. We turn fragmented ops data into the predictive analytics that reduce cost and prevent disruption.
State and federal agency data modernization — FedRAMP-aware cloud migration, data governance for public sector compliance, citizen-facing analytics platforms, and interoperability between legacy systems.
Student information systems integration, institutional analytics, FERPA-compliant data environments, enrollment and retention dashboards, and research data infrastructure for universities and education enterprises.
Aerospace, retail, investment management, insurance — we've worked across 14 Fortune 500 engagements and know how enterprise organizations buy, govern, and scale data capabilities.
Deloitte charges $350–500/hour. Accenture starts at $300/hour. We deliver the same caliber of work — from people who actually built production systems at their clients' companies — at a fraction of the cost. No overhead. No bloat. Just results.
The hmtech.one Delivery Guarantee: If we fail to deliver agreed milestones on time, we continue working at no additional cost until they are met. No exceptions.
Already have a data platform in place? Cloud 8 Data is our assessment and optimization practice — cost audits, best practices reviews, guidance, and training for teams running Snowflake, Databricks, AWS, and Azure. Performance-based pricing — you only pay from the savings we find.
Get a free audit7 questions every CTO, CDO, and VP of Engineering should answer before their next data investment — and what the answers reveal about your AI readiness. Written by practitioners. No email required.
Download Free Playbook hmtech.one/free →SCAN TO ACCESS
No contracts. No pressure. No pitch. Tell us what you're dealing with — cloud costs spiraling, a migration behind schedule, AI blocked by bad data — and we'll tell you honestly whether we can help and what it would look like.