Data Engineering
Clean, reliable data that your team and your AI can trust.
How we help
Most companies have their data spread across apps, databases and SaaS tools. Our data engineers build the pipelines, warehouses and dashboards that bring it together into one source your team can trust, and that get it ready for analytics, machine learning and AI features.
o9Tech is a product engineering studio in Lahore, Pakistan, founded in 2022. We work with clients around the world.
- Data pipelines (ETL and ELT) from your apps, databases, APIs and SaaS tools
- Data warehouses and lakehouses on BigQuery, Snowflake, Redshift or PostgreSQL
- Data modeling, testing and documentation, so the numbers match across teams
- Dashboards and reports your team actually uses
- Clean, well organized data that is ready for machine learning and AI
What clients say about this work
o9Tech did excellent work and demonstrated strong expertise in AI along with solid backend knowledge. Their experience with Node.js ensured smooth API handling and reliable data management. Communication was clear, and they delivered beyond expectations. I would gladly work with them again.
Nov 2025 · Upwork
From real Upwork contracts delivered by our co-founders, Saif ur Rehman and Shuja Ud Din, with names and pronouns changed to refer to the o9Tech team. See all reviews.
A clear plan, weekly builds, no surprises.
- 01
Discover
We learn your goals, users and constraints, then agree on scope, platforms and a realistic timeline. You get a written plan, not a guess.
- 02
Design & architect
We map the screens and the system behind them: data models, APIs and the stack that fits. Big decisions get made early and on paper.
- 03
Build in sprints
Working builds every week on TestFlight, Play internal testing or a staging URL. You see real progress and steer as we go.
- 04
Launch & scale
We handle store submission, monitoring and the first rounds of fixes, then stay on to grow the product with you.
What is the difference between data engineering and data science?
Data engineering builds the pipes and the storage: it collects, cleans and organizes data so it is reliable. Data science and AI then use that data to find patterns, make predictions or power features. We do both, and data engineering usually comes first.
Can you work with the tools we already use?
Yes. We connect to your existing databases, apps and SaaS tools, and pick a warehouse that fits your size and budget, from PostgreSQL to BigQuery or Snowflake.
How do you keep our data safe?
Data stays in your own cloud accounts, access is limited to the people who need it, and we sign NDAs before detailed talks. You own the code, the pipelines and the accounts.
Shipped with this stack
Ready to talk it through?
Send us a short note about your product and goals. We reply within one business day.