Nadeem Khan
Real-time Streaming Data Pipeline (Kafka)
Delivery in 14 days
VettedContact
Data Engineering (ETL, dbt, Airbyte)
About This Service
TL;DR
I build modern ELT data pipelines that pull everything your business generates - POS transactions, CRM contacts, ad-platform spend from Meta and Google, accounting exports, web analytics - into a single warehouse that becomes your one source of truth. Delivered by a vetted, admin-reviewed UAE specialist on Nadbook - contact them directly on WhatsApp, phone, or email, with zero platform commission.
Data Engineering - ETL Pipelines, dbt & Airbyte for UAE Businesses
I build modern ELT data pipelines that pull everything your business generates - POS transactions, CRM contacts, ad-platform spend from Meta and Google, accounting exports, web analytics - into a single warehouse that becomes your one source of truth. For trading companies, retailers, and clinics across Dubai, Abu Dhabi, and Sharjah, the typical starting point is painful: numbers live in five systems, monthly reporting means days of copy-paste, and no two spreadsheets agree on what revenue was.
The stack is deliberately standard and open: Airbyte (or Fivetran-style managed connectors) handles extraction and loading on a schedule, the warehouse is BigQuery, Snowflake, or plain Postgres depending on your data volume and budget, and dbt handles the transformation layer - tested, version-controlled SQL models that turn raw loads into clean tables your analysts and dashboards consume. Every dbt model ships with tests (uniqueness, not-null, referential integrity), so when a source system sends garbage, the pipeline tells you instead of silently feeding wrong numbers into board reports.
Where schedules get complex - dependencies between syncs, backfills, alerting - I add an orchestrator such as Airflow or Dagster. For most free-zone and mainland SMEs in the UAE, though, the goal stays simple: every morning, one warehouse holds yesterday's complete, reconciled picture of the business in AED.
What's included
- Source connectors - Airbyte connections to your POS, CRM, ad accounts, and databases on automatic schedules
- Warehouse setup - BigQuery, Snowflake, or Postgres provisioned and structured for analytics workloads
- dbt transformation layer - Version-controlled SQL models turning raw loads into clean, documented marts
- Data quality tests - dbt tests on every model so bad source data raises an alert, not a wrong report
- Orchestration & alerting - Airflow or Dagster where dependencies demand it, with failure notifications
- Lineage & docs - Generated dbt documentation showing exactly where every number comes from
How it works
- 1Source inventory
We list every system holding business data - POS, CRM, ads, accounting - and define the questions the warehouse must answer.
- 2Extract & load
Airbyte connectors are configured and the first historical sync lands your raw data in the warehouse.
- 3Model with dbt
I build staging and mart models with tests - revenue, customers, inventory - reconciled against your existing reports so the numbers are trusted.
- 4Schedule & hand over
Daily syncs and model runs go on autopilot with alerting, and your team gets the dbt repo, docs, and a walkthrough.
Why work with me
| With me | Typical agency | |
|---|---|---|
| Open-source stack you can self-host later | Proprietary lock-in | |
| Numbers reconciled against your old reports | ||
| Every model tested and documented in dbt | Undocumented SQL | |
| Warehouse running cost transparency | Estimated upfront in AED | Discovered on the invoice |
Frequently asked questions
How long does "Data Engineering (ETL, dbt, Airbyte)" take to deliver?⌄
Typical delivery is 14 days from order confirmation. Nadeem Khan will share an exact timeline when you make first contact.
How do I hire Nadeem Khan on Nadbook?⌄
Use the WhatsApp, phone, or email button on this page to reach out directly. Nadbook is a contact-first marketplace - there are no platform fees and the seller handles delivery directly.
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