ABOUT
A small firm that only does one thing.
Cybernate builds cloud data platforms and the AI that sits on top of them. That is the whole list. We do not do generic cloud migration, we do not do application development, and we do not run your helpdesk. Being narrow is the point. It is why the people who turn up have built this before.
How we work
Senior engineers only.
There is no junior bench here and nobody is learning on your project. The senior engineer who scopes the work is the one who builds it, and they stay on it until the handover. Our engineers average more than a decade building production data platforms, and the team holds current certifications across Snowflake, AWS and Databricks.
What we have delivered
Delivered in production.
Sectors we have shipped work in, and what it ran on.
- Retail banking
- Snowflake, dbt, Airflow, AWS
- Retail and e-commerce
- Databricks, Spark, Azure
- Manufacturing
- Databricks, Delta, streaming ingestion
- Enterprise HR
- Cloud warehouse migration and reporting
- Technology and SaaS
- BigQuery, dbt, event pipelines
We do not name clients. If you want a reference, ask during the assessment and we will arrange one directly.
Who we are
Cybernate IT Services & Consulting is a data engineering consultancy based in Bengaluru. We design, build and migrate cloud data platforms, and get them ready for AI.
Our work covers warehouse and lakehouse builds, legacy migration, pipelines, governance, and training client teams to run what we build. We work in the client’s own cloud account, and we judge a project by whether their team can run the platform after we leave.
- Registered entity
- Cybernate IT Services & Consulting
- Based in
- Bengaluru, Karnataka, India
- Founded
- 2022
- How we work
- Remote-first, with clients across time zones
- Team
- A small senior team. Senior engineers on every engagement.
Working with a small firm should not mean a slower procurement process. If your process needs something not listed here, ask and we will send it the same day.
What we hold ourselves to
- Clarity: We explain cloud and data decisions in terms both engineers and budget holders can follow.
- Pragmatism: We design for the budget, team and deadline you actually have.
- Ownership: We answer for the quality of what we deliver, including after it goes live.
- Enablement: We leave your team able to run and change the platform without us.
Technologies & platforms
The platforms and tools we use most:
- Cloud platforms: AWS, Azure, and Google Cloud
- Data platforms: Snowflake, BigQuery, Databricks, and Microsoft Fabric
- Data engineering: dbt, Airflow, PySpark, Python, and modern ETL/ELT workflows
- DevOps & DataOps: CI/CD, infrastructure as code, automated testing, monitoring, and observability
We choose tools for the job in front of us, and prefer something proven to something new.
How we show up on projects
- Inside your team: We join your stand-ups, work on your board and follow your standards.
- Plain language: We explain trade-offs before decisions are made, and say so early when something is off track.
- Code + docs: We leave working code, documentation, and a team that understands both. Not slide decks.
- Long-term view: We design for the people who will operate the platform in two years, not only for launch day.
How we compare
Three ways to buy this work.
We are not the right answer for every engagement. Here is the honest version of where each option wins.
| Criterion | Cybernate | Large integrator | Contract hire |
|---|---|---|---|
| Who does the work | The engineer in your meetings | A team you meet after signing | Whoever is available |
| Seniority | Senior only, every engagement | Mixed, weighted to juniors | Varies by individual |
| Scope | Data platforms only | Everything, at some depth | Whatever you direct |
| Documentation | Part of the deliverable | A line item you pay extra for | Rarely |
| End of engagement | Handover, with a date on it | A renewal conversation | The knowledge leaves |
| Best when | You need it built right once and owned internally | You need many workstreams at once | You have the architecture and need hands |