Reporting depends on systems that need daily care.
Database health, data-loading jobs and refresh behavior need attention alongside new delivery.
Industry experience / Media
Data engineering for media and analytics teams.
UTIS supports the data systems behind media analytics. Our work for a media company includes SQL Server and SSIS operations and a Snowflake application built with Cortex Analyst and Streamlit. The cases distinguish ongoing platform support from application delivery and explain what the client confirmed.
Media data workflows
Connect changing sources to reporting.
- Source deliveries
Feeds, files and source changes
- Data operations
Loads, checks and monitoring
- Analytics use
Reports and applications
Your priorities
Problems we help solve
These are common reasons to bring UTIS into the work.
New analytics must fit the existing data.
Models and applications need shared definitions, dependable inputs and review by the people who use them.
Modernization can become a collection of disconnected tasks.
Scope, operational ownership and handover need to connect platform decisions with daily delivery.
Our contribution
What UTIS delivers
SQL Server and data operations
Support database and data-loading work, performance investigation and operational follow-up.
Snowflake analytics applications
Build an application using Cortex Analyst and Streamlit, with semantic models, saved queries and visual results.
Delivery and technical continuity
Provide engineers who can work with the client team, document changes and respond as priorities evolve.
SQL Server · SSIS · Snowflake · Streamlit
Working together
Scope the next data or application change
Identify the data product
Bring the source deliveries, warehouse, report or analytics-application question, the users it serves and a current example of the problem.
Choose the engineering scope
For data operations, agree a load, matching rule or monitoring change. For an application, agree the semantic model and query behavior to review.
Agree a first reviewable result
Define a checked processing change or working application feature, the reference data and acceptance cases. Application delivery and user adoption require separate evidence.
Set ownership and handover
Confirm access, release responsibilities, operating documentation and the support boundary with the existing analytics team.
Client perspective
“I would recommend UTIS to any organization looking for a dependable data and engineering partner.”
Explore the expertise
Choose your next step
Go deeper into the work, explore an example or review how to engage UTIS.
SQL Server & SSIS
Explore database operations, checks on data loads and ongoing support.
Snowflake consulting
Review semantic models and analytics application delivery, with its stated scope.
Embedded engineering
Discuss technical contribution within your existing team.
Before we start
Frequently asked questions
What to expect when you work with UTIS.
What evidence is available for your media work?
The case studies include client-confirmed application delivery, operational records and direct customer feedback. Each case explains the specific contribution and avoids disclosing the client’s models, internal systems or data.
Does this include a completed Microsoft Fabric migration?
We assess Fabric-related requirements as part of a new scope. The published cases focus on the SQL Server operations and Snowflake application work supported by delivery evidence.
Can you work with an existing analytics team?
Yes. UTIS can add engineering capacity alongside the people responsible for your data, models and reporting, with responsibilities agreed before the work begins.
Meet with UTIS
Book a meeting.
Choose a preferred time for a 30-minute conversation about your project or hiring needs.
Choose a preferred time
Book a meetingUTIS will review your preferred time and confirm the meeting by email.