ETL/ELT pipelines
Scheduled, monitored pipelines that move data from applications, files and APIs into one place.
Technology services
Data engineering and ETL pipelines
Reliable data starts with reliable pipelines. We design ETL/ELT flows that run on schedule, recover from failures and keep your warehouse accurate.
Dashboards, AI models and reports are only as good as the data underneath them. Data engineering is the work of collecting data from every source, cleaning it, modelling it and loading it on a schedule you can trust.
We build production ETL and ELT pipelines, data warehouses and lakehouses, with data-quality checks and alerts so problems are caught before they reach a report. Our team has run production ETL for international clients and applies the same discipline to every pipeline.
What we deliver
Data warehouses and lakehouses
Modelled storage on SQL Server, Azure Synapse, Microsoft Fabric, Databricks or Snowflake.
Data-quality checks and alerts
Automated tests on every load, with alerts when something is missing, late or wrong.
Documentation
Lineage, schedules and runbooks, so your team knows what runs, when and why.
Technology we use
Where this helps most: Healthcare, finance and fintech, retail and e-commerce, logistics and manufacturing.
How we deliver
One agile loop, from discovery to support
Short sprints, a demo every two weeks and your sign-off before anything goes live.
- 1
Discover
Scope, goals and an honest estimate.
- 2
Design
Architecture, data model and visual direction.
- 3
Build
Two-week sprints with demos.
- 4
Test and review
QA, UAT and client sign-off.
- 5
Deploy
CI/CD to the cloud, or print-ready files, and handover.
- 6
Support
SLA support; new needs start the next loop.
Clients in Pakistan and abroad
A partner in Pakistan, working to your hours
We are a Pakistan-based team serving clients locally and internationally. Working hours overlap with the Middle East, the UK and Europe, with coverage available for US clients.
- A named point of contact and a weekly status update
- Access to the code repository and project board
- Documentation and a handover at the end of each phase
- NDA, with intellectual property assigned to you on payment
Ways to work with us
- Fixed price
- Clear scope, priced per milestone.
- Dedicated team
- Ongoing work, monthly fee per person.
- Time and materials
- Evolving scope, hourly or daily rate.
- Support retainer
- Monthly hours with a response SLA.
Questions
Frequently asked questions
What is the difference between ETL and ELT?
ETL transforms data before loading it into the warehouse; ELT loads raw data first and transforms it inside the warehouse. We choose the pattern that suits your data volume, platform and team.
Which data platforms do you work with?
Azure Data Factory, SSIS, Spark, Airflow and dbt for pipelines, and SQL Server, Azure Synapse, Microsoft Fabric, Databricks, Snowflake, BigQuery and Redshift for storage.
What happens when a pipeline fails?
Pipelines are built to retry and recover, with monitoring and alerts. Data-quality checks stop bad data from reaching reports.
Can you take over existing pipelines?
Yes. We review and document what exists, fix the weak points and then extend or migrate it, under a support retainer if you prefer.
Related services
Tell us what you want to build
Send a short note and we will reply with next steps and a time for a 20-minute call.