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Work With Me

Hire a freelance Data & Automation Engineer

Fixed-scope engineering, shipped production-ready and handed to your team: ETL pipelines and cloud data warehouses on AWS, backend APIs, workflow automation and AI integration.

Technical Consultation

Architecture reviews and a clear technical roadmap for data platforms, pipelines, backends and AI features.

From $90per hour

From $720 per day (8-hour day)

  • Data architecture & warehouse review
  • ETL / orchestration strategy
  • Cloud, AI and pipeline cost audit
  • Tech-stack & tooling recommendations
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Most Popular

Build & Ship

End-to-end delivery of a production-ready data pipeline, backend service or automation system.

From $4,500per project
  • ETL / ELT pipelines (Dagster, dbt, Airflow)
  • Cloud data warehouses (Snowflake, Redshift, BigQuery)
  • Backend APIs & services (Python, FastAPI)
  • Data-mart design & BI dashboards (Power BI)
  • Data migration & legacy modernisation
  • Dockerised, CI/CD-ready deployment on AWS
  • Documentation & handover
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Automation & AI Integration

Manual work turned into systems that run themselves, and AI features that hold up in production.

From $2,800per engagement
  • Workflow & process automation (quotes, ingestion, reporting)
  • Web scraping & data extraction at scale
  • LLM integration and AI features in production
  • AI and cloud cost attribution & reduction
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Fixed-scope projects, quoted in your currency. Not sure which fits? Talk it through, no commitment.

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Clean B2B contracting

How I work with you

Outside IR35 by default

I engage as an independent supplier on fixed-scope, deliverable-based contracts, not a disguised employee. No agency, no umbrella company, no payroll obligation on your side.

A real daily overlap

Based in Pakistan on GMT+5, my core hours overlap European and UK mornings, and I take later calls when US teams need them. You get same-day answers, not overnight handoffs.

Fixed scope, fixed price

A clear proposal, milestones and timeline before work starts, quoted in your currency. You own all code, pipelines and documentation on delivery.

Cost-conscious by default

I build for lean running costs: incremental pipelines instead of full reloads, and AWS spend trimmed wherever it leaks. On one document platform that meant a 99% cut.

Built to run in production

Pipelines that are idempotent, observable, and fail in isolation instead of taking the whole system down. They hold up when real data gets messy.

Straightforward to work with

Five years working with executives and distributed teams, from first requirements to live deployment. Clear scope, clear milestones, and a handover your team can actually run.

What these AWS data engineering services cover

Most work arrives as one of four problems. A bill that grew faster than the data behind it, a migration that turned out to be bigger than the tool promised, a pipeline that breaks quietly and gets discovered downstream, or a warehouse nobody trusts the numbers in. The engagements below map to those.

AWS Glue and pipeline cost work

Bills climb because jobs are provisioned once and never revisited, because every run rescans history, and because nobody owns the number. I work through the levers in order of what they actually return, starting with how much data each run touches rather than how many workers it has. You can size your own bill first with the AWS Glue cost calculator, and the reasoning behind each lever is in the Glue cost optimization guide.

Database and data warehouse migration services

AWS DMS moves your rows. It does not move stored procedures, triggers, secondary indexes, foreign keys or sequences, and it cannot replicate a table that has no primary key. That gap is usually most of the project, and it is usually discovered late. Paste a schema into the DMS pre-flight check to see the size of it before committing to a date. As an AWS DMS migration consultant I scope that second list, then run the conversion and the cutover against measured lag rather than an assumed zero.

For warehouse work specifically — Redshift migration services, Snowflake and BigQuery moves, and the legacy Sybase and SQL Server estates that tend to sit behind them — the case studies cover several at tier-1 bank scale.

ETL and ELT pipeline development

Building the thing, or rebuilding the thing that keeps failing. Dagster, dbt and Airflow orchestration, Python ingestion at volume, Docker and CI/CD so a deploy is not an event. The parts that matter later are the unglamorous ones: idempotent reruns, real backfill capability, and alerting that fires before a stakeholder notices. My approach to each is in the ETL pipeline guide.

How an engagement usually starts

Almost always with a call and a number you already have — a bill, a deadline, or a pipeline that failed last week. I will tell you on that call whether it is a three-day job or a three-month one, and if it is something you can fix yourselves I will say so. Scope and price are fixed in writing before any work begins, and the rates on this page are the starting points those quotes are built from.

Working Together

Questions clients ask

Are you inside or outside IR35?

Outside IR35. I work as an independent B2B supplier on fixed-scope, deliverable-based contracts, not a disguised employee, so there is no umbrella company or payroll obligation on your side. Each engagement is scoped to outcomes and deliverables.

How do you contract with overseas companies?

As a B2B supplier: a simple services agreement, fixed scope with milestones, invoiced per deliverable or stage. I am based in Pakistan and bill in GBP, USD or EUR via bank transfer or Wise.

What are your working hours?

I work on GMT+5. That overlaps European and UK mornings, and I am flexible for later calls with US teams, so there is a dependable window for calls and same-day answers rather than an overnight gap.

Who owns the code and the IP?

You do. On delivery and final payment, all code, pipelines and documentation are yours, with a clean handover so your team can run and extend them without me.

Can we start with something small?

Yes. Many engagements begin with a paid technical consultation or a single contained deliverable, so you can assess fit and quality before committing to a larger build.

In Their Words

What clients say

A few words from people I've delivered for.

Skilled, flexible, and fast. Would hire Hammad again.
Rafael NasserInteractive Brokers
Excellent communication and amazing work with great execution.
Frank CohenAirplane & helicopter parts supplier
Taking on new projects · Outside IR35

Have a data pipeline or warehouse problem worth solving?

From messy source data to analytics-ready warehouses that cut cost. Let's scope it. I reply within one business day.