Modernize the datasystems you depend on.
UTIS delivers engineer-led consulting for data platforms, AI and machine learning, with technical staffing to strengthen your team.
Technologies behind our work
Close the technology list
Select any logo or technology name to explore UTIS work and delivery scope.
- DatabricksDatabricks · Databricks Apps · Unity Catalog · Declarative Automation Bundles
- Python
- Microsoft AzureMicrosoft Azure · Azure Virtual Machines
- SnowflakeSnowflake · Snowflake Cortex Analyst
- TerraformHashiCorp Terraform
- Azure AKSAzure Kubernetes Service (AKS) · Kubernetes
- Power BIMicrosoft Power BI · DAX
- SQL ServerMicrosoft SQL Server · T-SQL · SQL Server Integration Services (SSIS)
- Apache Spark · PySpark
- Delta LakeDelta Lake · Delta change data feed
- Streamlit
- Azure DevOps
- Azure StorageAzure Blob Storage · Azure Data Lake Storage (ADLS) · AzCopy
- Azure Event Hubs
- Azure Container RegistryAzure Container Registry (ACR)
- Microsoft Entra ID
- AWS S3 · CDKAmazon S3 · AWS Cloud Development Kit (CDK)
- C#
- Grafana · Prometheus
- Telegraf · InfluxDB
- Splunk
- Denodo
- SAP HANA · BusinessObjectsSAP HANA · SAP BusinessObjects
- Spotfire
- Azure Machine Learning
- MLflow
- PyTorch
- NVIDIA GPUs · NIM · ALCHEMINVIDIA GPUs · NVIDIA H100 · NVIDIA NIM · NVIDIA ALCHEMI
- MACE
- Weights & Biases
- Mistral · Mosaic AIMistral · Databricks Mosaic AI
- Power AppsMicrosoft Power Platform · Power Apps
- Power Automate
- Power Pages
- DataverseMicrosoft Dataverse
- MATLAB
01 / Selected work
Enterprise work. Specific results.
Three engagements, with their delivery and measurement scope.
Semiconductor manufacturing
Databricks
Lower Databricks compute cost
About 57% lower average daily compute cost across 11 pipelines, comparing the initial post-migration days with a five-month baseline.
Project-reported · initial post-migration observation
Title insurance
Power BI
Power BI reporting with source checks
Reporting models, published dashboards and data validation developed with a business intelligence team.
Client-confirmed delivery · reporting and source validation
Media
Snowflake
A Snowflake application for business questions
Semantic models, saved questions and charts in a Snowflake application delivered for client review.
Client-confirmed delivery · application delivered for review
Each case explains the contribution and its scope. References require client permission.
02 / Client feedback
What clients say about working with UTIS.
Candidate quality
“Timely, need-based, and cost-effective solutions. … High quality candidates.”
Snowflake expertise
“When I asked them for a Snowflake resource, they responded quickly and delivered a strong consultant who got up to speed fast and contributed right away.”
Technical ownership
“They approach our problems as their own and consistently deliver thoughtful, practical solutions.”
Embedded engineering
“Depth of knowledge is impressive. Big fan of engineering people who are onsite and collaborate with users.”
Power BI delivery
“Together we've also built out Power BI analytics and dashboards, CRM data integrations, and client-specific metrics that we rely on to manage the business.”
Repeat engagements
“We have since called on UTIS regularly to step in on our most important data management challenges. They are expert, adaptable, and efficient.”
Read 4 more client perspectivesShow fewer client perspectives
Team collaboration
“UTIS has been a dependable extension of our team, and I recommend them without reservation.”
Data engineering
“I would recommend UTIS to any organization looking for a dependable data and engineering partner.”
Client perspective
“They approach the work from our point of view, which is why our collaboration endures.”
Staffing delivery
“UTIS hit it out of the park…”
Client feedback excerpts. Personal, project and client identities are withheld. Ellipses mark omitted wording; context remains specific to each engagement.
Read all client feedback03 / Industry experience
Find the work in your industry.
Different systems and business rules. Five distinct paths into our experience.
Semiconductor manufacturing
Machine-data pipelines, engineering analysis and reporting in manufacturing environments.
Real estate & property data
Property reporting, data quality and controlled history updates with SQL Server and SSIS.
Title insurance
Power BI reporting and SQL source checks for a business intelligence team.
Media
Snowflake analytics applications, SQL Server data operations and reporting foundations.
Energy
Power Pages portal architecture, permissions and controlled application releases.
Read the relevant scope and client context on each industry page.
Credentials across our team
Certified expertise behind our work.
Professional certifications in the platforms behind modern data, AI and cloud delivery.
DatabricksData Engineer AssociateData EngineeringCredential details Associate
DatabricksDatabricks GenAIAI & Machine LearningCredential details Expert
SnowflakeSnowPro Advanced ArchitectData EngineeringCredential details Professional
Google CloudGoogle Cloud ArchitectCloud & ApplicationsCredential details Specialty
SnowflakeSnowPro Gen AIAI & Machine LearningCredential details CKA
The Linux FoundationCertified Kubernetes AdministratorDevOps & PlatformCredential details Associate04 / Consulting
IT consulting services
Build, modernize and support your data platforms, AI applications, cloud infrastructure and business systems—from architecture through delivery and handover.

Data engineering
Build and validate pipelines with Python and PySpark, improve data quality and modernize your data platform.
Cloud & DevOps
Build Azure infrastructure, automate deployments with Terraform and Azure DevOps, and monitor running workloads.
AI & machine learning
Develop AI applications, validate model outputs and prepare machine-learning workflows for delivery.
Power Platform
Build portals, approval workflows and connected business applications with clear permissions and deployment controls.
Databricks engineering
Modernize pipelines and reporting models with PySpark, incremental Delta processing and repeatable deployment.
SQL Server & SSIS
Improve query performance, data-loading reliability, recovery and monitoring across your database estate.
Power BI & analytics
Build reporting models and dashboards with agreed business measures and source-data checks.
Snowflake consulting
Turn business questions into semantic models and usable analytics applications with Cortex Analyst and Streamlit.
05 / Staffing
Technical staffing services
Hire data, AI, cloud and software engineers for your team. Recruiting is led by a software architect with recruiting experience since 2011 and practical experience delivering production systems.
Engineers assessed for the work ahead.
Architect review
Assess production judgment, ownership and the ability to turn unclear requirements into a clear problem statement.
Technical & domain interviews
Specialists examine relevant skills, domain understanding and the practical demands of your role.
Written recommendation
Understand the candidate’s strengths, gaps and fit before your team invests time in interviews.
Technical staffing
Add engineers for your technology and domain, with working-hour overlap and budget agreed around your team’s needs.
Intern-to-hire programs
Explore paid internships and a possible path from a UTIS assignment to direct client employment.
H-1B sponsorship & onboarding
Understand the sponsorship and onboarding process, with each case reviewed before commitments.
Many of our consulting engagements began with staffing. As your needs develop, we can agree a broader project or support scope.
06 / Working together
Choose how we work together.
A defined project, an embedded engineer or ongoing platform support.
Deliver a project.
Give a defined problem a clear owner. We agree the scope, milestones, acceptance criteria and handover before implementation.
Starting point
Review the current systems and decide whether a focused assessment is useful.
Embed an engineer.
Add an engineer assessed by a UTIS practitioner in the relevant stack. Your team sets priorities; UTIS stays involved in technical fit, feedback and continuity.
Starting point
Agree the role, responsibilities, work location, availability and interview process.
Support an existing platform.
Define ongoing responsibility for selected data pipelines, database operations or cloud services. Coverage, escalation and service commitments are agreed for your environment.
Starting point
Identify the systems, support boundaries and transition requirements.
Match collaboration hours and budget.
Agree the location, working-hour overlap and commercial approach around your team’s needs.
- USOnshore
- BrazilNearshore
- IndiaOffshore
What you can expect
Agreed scope.
Set responsibilities, milestones and acceptance criteria before work begins.
Reviewable delivery.
Review completed work, validation and next steps together.
Documented handover.
Retain the decisions, operating steps and handover responsibilities.
Procurement readiness.
Discuss your MSA, screening, insurance and access requirements early.
Who is behind the work?
Arun Albert
Founder & CEO · Data Architect
Arun Albert founded UTIS in 2011. His hands-on background in SQL Server, SSIS, data architecture and production troubleshooting shapes how the firm scopes work and assesses engineers.
07 / Before we start
Questions before we start.
Fit, delivery, technical evidence and what to expect from a first conversation.
What does UTIS do?
UTIS is an engineer-led IT consulting and technical staffing firm founded in 2011 and based in Irvine, CA. We help enterprise teams build, modernize and support data platforms, analytics, cloud systems, applied AI and business applications. Our staffing approach combines leadership by a software architect with specialist technical and domain interviews and a written assessment of strengths, gaps and fit. We work through technical staffing, embedded engineers, scoped projects and ongoing support, with experience in semiconductor manufacturing, property data, title insurance, media and energy.
Which industries do you serve?
Our work spans semiconductor manufacturing, property data, title insurance, media analytics and energy. The project pages explain the experience relevant to each area. We also assess work in other industries when the technical requirements fit our expertise.
Do you work with Databricks?
Yes. Our documented Azure Databricks work includes machine-log pipeline modernization, incremental Delta processing, selected SAP HANA reporting models and engineering applications. The practice page links to delivery evidence and explains our approach to assessment, validation and handover.
What happens when I book a meeting?
Choose a preferred weekday time for a 30-minute conversation and share a little context. Times are shown in Pacific Time and require at least two days’ notice. UTIS will confirm the meeting details by email. Your selected time is a preference until we confirm it, and requesting a meeting does not commit you to an engagement.
Can you work within our procurement process?
Yes. We can discuss your MSA or ours, time-and-materials or milestone-based statements of work, and the screening, insurance, access and onboarding requirements for the engagement. Responsibilities and commercial terms are agreed before work begins.
Can we review relevant work and references?
Yes. Start with our anonymized case studies and client feedback. We can discuss the relevant scope and, with client permission and appropriate confidentiality arrangements, reference conversations. Public pages omit client identities and sensitive operational details.
08 / Start a conversation
Let’s discuss what your team needs.
Choose a preferred time for a 30-minute conversation about a technical role, platform, reporting problem or delivery need. We’ll confirm the meeting details by email.
- Share your requirements
- Choose a preferred time
- Receive UTIS confirmation
300 Spectrum Center Drive, Suite 400, Irvine, CA 92618
30-minute conversation
Book a meetingChoose a weekday time in Pacific Time. Your selection is a preference until UTIS confirms the meeting by email.