Data Infrastructure

Data pipelines that don't become tomorrow's incident.

Design, build, and maintain the infrastructure your analytics, ML models, and business decisions run on. Built to survive your Series B data volumes — and beyond.

Expected Outcome

5× faster data processing. 87% reduction in reporting latency.

Core Technologies

Apache SparkdbtKafkaSnowflakeAirflowBigQueryRedshift
Deliverables

Exactly what you get. No vague retainers.

End-to-end pipeline architecture — batch and real-time

Data warehouse design and implementation

ETL/ELT frameworks using dbt and Spark

Kafka-based streaming data systems

Data quality monitoring and alerting

Migration from legacy data infrastructure

Who This Is Built For

Is this the right fit?

"Growth-stage companies whose data is outgrowing their current stack. Teams whose analysts spend more time fixing pipelines than analysing data."

Process

How an engagement starts.

01

Discovery Call — 30 mins

Speak to a co-founder directly. No sales deck, no account manager warming you up. Just an honest conversation about whether we're the right fit for the problem.

02

Scoping — 3 to 5 days

We document exactly what needs to be built, what the risks are, and what it will take. You get a clear scope with milestones — not a vague retainer. If something's unclear, we say so before we start writing any code.

03

Handoff — Clean & Yours

Every line of code, every design file, every document is yours from day one. When we hand off, it's documented to a standard your own team can maintain. We don't build dependencies.

Start the conversation

Ready to build
something worth talking about?

Direct founder access

No account managers. You speak to who builds.

Response in 24 hours

We respect your time from the first touchpoint.

Kolkata engineering. Global delivery.

Kolkata engineering. Global delivery standards.

Full IP ownershipNo lock-in contractsSenior engineers only

Book a Discovery Call

30 minutes. No commitment. We'll assess your project, give honest feedback, and if we're a fit, propose next steps.

What's on your mind?

AI Strategy & Integration
Custom Web App
Team Augmentation
Just Exploring