Data Engineering built for Gaming companies
What is Data Engineering?
We turn scattered data into pipelines your business can actually trust and query. For Gaming companies, this means navigating Age rating compliance (ESRB/PEGI), GDPR while shipping fast.
Who needs Data Engineering for Gaming?
- Scaling backend infrastructure for concurrent players
- Real-time multiplayer latency requirements
- Monetization and in-app purchase integration
- Data scattered across disconnected systems
- Reports that disagree depending on who pulls them
Best Data Engineering company
Multiplayer and live-service games need backend infrastructure that scales instantly with concurrent player spikes.
From Kathmandu, our team delivers Data Engineering for Gaming businesses across with real timezone overlap.
Talk to our Gaming Data Engineering specialists this week
Book a free 30-minute discovery callWhat Gaming leaders in wish they knew before starting Data Engineering
- Scaling backend infrastructure for concurrent players
- Real-time multiplayer latency requirements
- Monetization and in-app purchase integration
- Anti-cheat and fraud prevention systems
- Cross-platform progression and save sync
How we de-risk Data Engineering for Gaming teams in
Data warehouse architecture (Snowflake, BigQuery)
ETL/ELT pipeline development
Data quality monitoring and alerting
BI dashboard integration
Data governance and access controls
Core Technology Stack
SnowflakeBigQueryAirflowdbtPythonKafkaAWS Glue
Timeline, investment & compliance
Typical timeline
8-16 weeks
Typical investment
$25,000 - $140,000
Data Engineering engagements in this combination typically need to account for:
- Age rating compliance (ESRB/PEGI)
- GDPR
- Loot box and gambling regulations
- Platform store policies (Apple/Google/Steam)
Proven Results
"We helped a mobile gaming studio cut server latency by 30% with a redesigned multiplayer backend."
Read the full case studyStop guessing on Data Engineering — let's build a real plan together
Get a free project cost estimateFrequently Asked Questions
Most Data Engineering engagements take 8-16 weeks, depending on scope and how clear the requirements are upfront. We'll give you a firm timeline estimate after a short discovery call, not a generic range.
Data Engineering projects with us typically range from $25,000 - $140,000, scaled to the complexity of your requirements. We provide a detailed, itemized estimate before any work begins so there are no surprises mid-project.
For data engineering, we typically work with Snowflake, BigQuery, Airflow, dbt, chosen based on your specific scalability and integration requirements. We're not tied to a single stack and will recommend the right tools for your situation rather than our default.
A typical data engineering engagement includes data warehouse architecture (snowflake, bigquery), along with the other deliverables outlined in our proposal, such as documentation and a post-launch support window. The exact scope is tailored to your project during discovery.
Most clients come to us for data engineering because of data scattered across disconnected systems, among other related challenges. We start every engagement by mapping your specific pain points before writing a single line of code.
We've delivered multiple gaming projects addressing challenges like scaling backend infrastructure for concurrent players. We helped a mobile gaming studio cut server latency by 30% with a redesigned multiplayer backend.
For gaming clients, we pay close attention to Age rating compliance (ESRB/PEGI), GDPR, building these requirements into the architecture from day one rather than retrofitting them later. We'll confirm which specific regulations apply to your business during discovery.
The most common challenges we solve for gaming clients include scaling backend infrastructure for concurrent players and real-time multiplayer latency requirements. We tailor our discovery process to surface the specific version of these problems your business faces.