# Data engineering services | Pipelines and ETL

> Data pipelines, ETL and warehouses that feed your dashboards and AI models reliably, with tests and alerts when something breaks. Free data review.

Source: https://codeintelli.com/services/data-engineering

Your numbers don't match between teams. Let's fix the pipes, not the spreadsheets.

We build data pipelines and warehouses that pull from every system you use, check the data on the way in and give everyone one set of numbers they trust.

## Problems we solve

- Sales and finance report different numbers: Every meeting starts with an argument about whose spreadsheet is right.
- Our reports are a day late and built by hand: An analyst spends Monday morning exporting CSVs instead of analysing anything.
- A pipeline broke and nobody noticed for a week: The dashboards looked fine. The data behind them had stopped updating.
- We can't do AI because our data is a mess: Every AI idea stalls on the same question: where is the clean data?

## What we build

- ETL and ELT pipelines: Reliable ingestion from apps, databases, APIs and files with Airflow, Fivetran or custom code
- Data warehouse setup: Snowflake, BigQuery, Redshift or Databricks, modelled for the reports you need
- Streaming data: Real-time pipelines with Kafka or Flink for live dashboards and alerts
- Data quality checks: Automated tests and alerts that catch bad data before it reaches a report

## How we work

- Audit (1-2 weeks): We list every source, how data moves today, where it breaks and which reports matter most.
- Design (1-2 weeks): We design the warehouse, models and pipelines, pick tools that fit your team and budget, and agree data quality rules.
- Build (6-12 weeks): We build ingestion, modelling and quality checks in two-week sprints and show you working data in weekly demos.
- Operate (2 weeks): We set up monitoring and alerts, document every pipeline and train your team, or keep running it for you.

## Results

- Restaurant POS, Sydney: Point-of-sale system with real-time sales analytics for a restaurant chain in Sydney, Australia.
- Operations Dashboard, Frankfurt: Business operations dashboard with role-based access for a company in Frankfurt, Germany.
- Delivery Manager: Fleet app that works offline, sends GPS every 15 seconds, and handles driver shifts and expense receipts. Built with Flutter, Firebase, Node.js and PostgreSQL.

## Technologies

Apache Spark, Airflow, dbt, Snowflake, Databricks, Kafka, Flink, Fivetran, BigQuery, Redshift, Delta Lake, Great Expectations, Terraform, Kubernetes

## Questions

### Do we have to replace our current systems?
No. We connect to the systems you already use, including older databases and spreadsheets, and move to new tools step by step so daily work keeps running.

### How much will it cost?
After a free 30-minute call we send a written plan and a fixed price within 48 hours. We also estimate monthly warehouse and tool costs, so you know the running cost as well as the build cost.

### How do you handle sensitive data?
We sign an NDA before you share anything. We use least-privilege access, encrypt data in transit and at rest, and mask personal data where it isn't needed. Everything runs in your own cloud accounts.

### Our in-house team will need to maintain this
That's how we design it. Pipelines are code in your repository, documented and tested, and we pair with your engineers so they can own it when we're done.

## Contact

- Email: biz@codeintelli.com
- Phone / WhatsApp: +91 92745 85376
- Book a free 30-minute call: https://codeintelli.com/book-a-call