Data pipelines
that move information from one system to another without anyone touching it
Data Engineer & AI Automation · Islamabad, PK
I build the systems that run your business while you focus on growing it
Most businesses do not have a data problem. They have a "this should be automatic by now" problem.
I am Shahvaiz, a data engineer and AI automation specialist who builds the pipelines, integrations, and AI-powered workflows that let businesses run on autopilot, without the late nights, the spreadsheet chaos, or the "wait, did anyone follow up on that lead" moments.
- Python
- n8n
- Prefect
- Airflow
- AWS
- GCP
- Azure
- OpenAI
- Claude
- LangChain
- Django
- React
- Streamlit
- PostgreSQL
A lead comes in and someone has to manually qualify it.
A report needs three different tools and an hour of copy pasting.
A customer message sits unanswered because nobody got around to it yet.
None of that is a people problem. It is a missing system problem, and that is exactly what I fix.
What I actually do
In plain English: I make the busywork disappear
I connect your tools, automate your busywork, and build AI systems that make decisions your team used to make by hand. That includes:
AI lead qualification systems
that score and route leads while you sleep
Chatbots and AI agents
that handle conversations, not just FAQs
Workflow automation
using tools like n8n and Python that quietly replace hours of manual work
Cloud infrastructure
on AWS, GCP, or Azure that scales without surprise bills
If any of that sounds like something your business needs but never got around to, you are exactly who I build for.
Curious if your workflow can be automated? Send me a message and describe what is eating your time. I will tell you honestly whether automation can fix it.
Why businesses choose me
I fix it, and I make sure it keeps running
I have built:
Financial services
Data infrastructure for a pension fund managing billions in assets
Healthcare
AI research tools for a healthcare startup
Marketing & SaaS
Full automation systems for marketing agencies and SaaS companies
The common thread across every project is the same: find what is broken, fix it permanently, and make sure it keeps running after I am gone.
I do not believe in shipping something and disappearing. If it breaks at 3am, it should fix itself or alert someone, and either way, you should never find out about a problem from an angry customer before I do.
Ready to stop doing things manually that a system could do better? Let's talk about your project.
Insights & guides
28 practical guides on AI, automation & data
Long-form, interactive write-ups on the problems I solve every day, from AI agents and n8n workflows to ETL pipelines and cloud architecture. No fluff, just what works.
AI Automation
What Is AI Automation?
Where AI automation works, where it fails, and how to spot tasks worth automating.
Read the guide Comparisonn8n vs Zapier vs Make
An honest side-by-side on pricing, complexity, and self-hosting from someone who builds on all three.
Read the guide Data EngineeringData Pipelines & ETL
How reliable pipelines are built, what breaks them, and the observability that keeps them running.
Read the guide Lead QualificationAI Lead Qualification
Score, route, and nurture leads automatically without losing the human touch that closes deals.
Read the guideBrowse all 28 guides across AI agents, workflow automation, data engineering, cloud, and industry-specific playbooks.
Frequently asked questions
Common questions from business owners and operations teams considering automation or data pipeline work.
What does a data engineer and AI automation specialist do?
A data engineer and AI automation specialist builds pipelines, integrations, and AI-powered workflows that move data between systems, qualify leads automatically, and replace repetitive manual work in sales, operations, and support.
Can you automate our lead qualification process?
Yes. I build AI systems using OpenAI and Claude that read incoming leads, score them against your criteria, route them to the right person, and nurture leads that are not ready yet.
Do I need a fully scoped project before reaching out?
No. Many projects start with someone describing a workflow that has been bugging them. Send the details and you will get an honest read on whether automation is the right fix.
What happens after I contact you?
Most conversations start with a short 20 to 30 minute call where you walk through the problem. No generic pitch deck and no pressure. If automation is not the right fix, you will hear that directly.
What industries do you work with?
Financial services, healthcare, marketing, e-commerce, and SaaS. The underlying problems are often the same even when the industry looks different.
What tools and platforms do you use?
Python, n8n, Prefect, Airflow, AWS, GCP, Azure, OpenAI, Claude, LangChain, Django, React, Streamlit, PostgreSQL, Bloomberg feeds, and Microsoft Business Central integrations.
Can automation replace my team?
Automation is about giving people their time back, not replacing them. Systems handle the repetitive 80 percent and flag the 20 percent that genuinely needs human judgment.
How long does it take to build a data pipeline or automation?
Timelines depend on scope. Simple workflow automations can ship in a few weeks. Full data pipeline or AI qualification systems typically take longer. Every engagement starts with an honest scoping conversation.