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abdulasiraj/README.md

Muhammad Abdullah

Senior Data Engineer  ·  Lahore / Islamabad, Pakistan
Designing cloud-native data platforms on GCP, AWS, and Azure.

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About

Senior Data Engineer with 5+ years designing and shipping production-grade data platforms across finance, spend analytics, and machine-learning domains. I focus on the layer where modelling, infrastructure, and delivery meet — dbt on the warehouse, Terraform underneath, and CI/CD wired together so every change is safe, reviewed, and reversible.

Currently at Telenor Shared Services, where I architected the TSS Data Platform on Google Cloud — a multi-domain lakehouse serving 15+ markets.

What I do

  • Data platforms & modelling — dbt on BigQuery / Snowflake / Databricks, bronze / silver / gold layer contracts, semantic models, and data contracts.
  • Infrastructure as code — Terraform for cloud resources, IAM, and access management, with plan-on-PR / apply-on-merge CI.
  • Keyless CI/CD — GitHub Actions with Workload Identity Federation, containerised delivery, and auditable releases.
  • Applied GenAI on the warehouse — vector search and embeddings for semantic matching and classification, right next to the data.
  • Reliability & quality — automated testing, source freshness, observability, and documentation baked into the pipeline.

Featured Projects

TSS Data Platform — End-to-End GCP Lakehouse

dbt · BigQuery · Vertex AI · Cloud Run · GitHub Actions · Terraform

  • Multi-domain dbt project (spend, finance, HR) with bronze → silver → gold layer contracts serving 15+ markets.
  • Applied GenAI on the warehouse — embeddings and vector search on Vertex AI for supplier matching and automated invoice classification.
  • Containerised platform deployed via GitHub Actions with Workload Identity Federation — keyless, auditable releases.
  • Data quality gated by automated testing, linting, and source-freshness checks.

tss-infra — Terraform for the Data Platform

Terraform · GCP IAM · Workload Identity Federation · GitHub Actions

  • Single source of truth for every cloud resource behind the platform — projects, IAM, datasets, buckets, budgets.
  • Reusable modules for projects, datasets, buckets, service accounts, and CI identity.
  • Group-based, least-privilege access control with mandatory resource labels.
  • Plan-on-PR / apply-on-merge — no laptop applies, ever.

Tech Stack

Cloud & Warehouses

Modern Data Stack

Infrastructure & DevOps

GenAI & ML

Languages

BI & Analytics

GitHub Stats

GitHub Stats Top Languages

Open to conversations about data platforms, dbt, BigQuery, Terraform, and applied ML.

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