Hands-On Delivery
Strong Implementation Base
Much of my earlier work was delivered in Python, from ingestion frameworks and orchestrators to freelance automation and analytics pipelines, while later roles expanded that base into adjacent stacks.
About
Abdullah Khan
Senior Data Engineer
I build data platforms that teams trust in production. A large part of my hands-on delivery experience has been across ETL, orchestration, APIs, and startup-to-enterprise data work, with the stack shaped by the environment rather than by preference alone.
My most recent role expanded that base. At Quantexa, I learned Scala in-role, became comfortable delivering with it, worked on Quantexa implementation and development, and completed Quantexa Data Engineer certification while supporting insurance AML and investigative use cases plus banking KYC workflows. That experience sits within my broader data engineering profile rather than replacing it.
I focus on practical architecture: scalable ingestion, clean orchestration, system design, data architecture, and measurable outcomes tied to business workflows. I also work directly with deployment and CI/CD teams, so I understand how release workflows, containers, environments, and operational controls shape delivery in practice.
Core Focus
- ETL, orchestration, and data platform engineering across the tools a project demands
- System, solution, and data architecture across cloud data stacks
- Software engineering with data-engineering-adjacent tech stacks and delivery tooling
- Scala + Spark delivery built on the job at Quantexa, plus Quantexa Data Engineer certification
- Quantexa implementation support for teams already using licensed ER tooling
- CI/CD and deployment collaboration across Docker, Kubernetes, Jenkins, ArgoCD, and Azure DevOps workflows
- Experience across Azure with practical exposure to AWS and GCP
- Modern productivity-focused engineering practices
Specialties
Quantexa + Scala
Implementation Experience
I learned Scala on the job at Quantexa, became comfortable using it in delivery, and applied it alongside Spark in regulated implementations that were using Quantexa's platform. I am not positioning myself as a builder of custom ER engines from scratch.
Architecture + Delivery
Systems In Context
I work effectively across system design, data architecture, cloud services, and software delivery concerns rather than staying narrowly inside pipeline code.
Delivery Workflows
CI/CD Aware
I work effectively with Docker, Kubernetes, Jenkins, ArgoCD, and Azure DevOps based teams and understand how deployment methodology impacts engineering choices.
Forward Thinking
Modern Engineering Practice
I adopt newer tooling when it helps move faster, tighten feedback loops, or keep attention on the highest value engineering decisions.
Ready To Build
Looking for both technical depth and delivery reliability?
I can support architecture reviews, hands-on implementation, or leadership during critical delivery phases.