Data pipelines you can trust.
Ingestion, transformation and warehousing so product and analytics teams work from the same reliable sources — not spreadsheet exports.
- Team
- 50+ IT professionals
- Delivery
- Design, build, release, support
- Engagement
- Project or dedicated team
What this covers
Concrete work we take on under data engineering — not a catalogue of buzzwords.
- ETL/ELT pipelines and scheduled jobs
- Warehouse and lakehouse design
- API and event-driven ingestion
- Data quality checks and documentation
Problems we take on
If one of these sounds familiar, we have likely shipped something close — and we will say so if we have not.
- Reports disagree because every team has its own export.
- Batch jobs fail silently and nobody notices until Monday.
- You need product features that depend on clean historical data.
Technologies
Stacks we use when they fit the product and your team — not a mandatory toolkit for every engagement.
- Python
- Airflow
- dbt
- BigQuery
- Snowflake
- PostgreSQL
- Kafka
How we work
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Scope before code
We write what is being built, what is excluded, integrations, dates and cost basis before the build starts. Changes get quoted before they get coded.
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Talk to the people doing the work
You meet named engineers and designers. There is no account manager translating technical questions in both directions.
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Working software every two weeks
Increments land on staging you can open and use. Progress you can click on beats progress in a status report.
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You own everything
Repository, cloud account, domains and credentials stay yours. We work in your accounts wherever possible.
FAQ
Do you build dashboards?
We build the data layer that dashboards and products consume. BI tooling can be included or left to your analytics team.
Can you work with our existing warehouse?
Yes — we extend and harden what you have when that is the right move.
How do you keep data reliable?
Scheduled jobs with monitoring, quality checks and clear ownership so silent failures do not wait until Monday to surface.
Batch pipelines or real-time events?
Whichever the product needs. Many teams start with solid batch ELT and add event-driven paths where latency matters.
Who owns the warehouse and tooling?
You do. We build in your accounts and document sources, transforms and schedules so your team can operate them.
Related
Services that often sit beside data engineering on the same roadmap.
Why Three Index
Founded in 2020 in Ahmedabad, Gujarat. Fifty-plus IT professionals. More than five hundred projects shipped across product and enterprise work.
We are large enough to staff serious products and small enough that the people who wrote a module can still explain it. See how we operate, browse case studies, or join the team.
Tell us what you are trying to build.
Send a short description of the project. You will get a reply from someone technical — with questions worth answering, not a brochure.