I'm a Data & AI Engineer who builds both the data platforms and the AI that runs on them.
Four years deep in production data engineering, across healthcare and FMCG, with the AI layer built on top. Here is the longer version.
I came up through data science and national competitions, then spent the last four years deep in production data engineering. I've built pipelines, lakehouses and warehouses on Azure, Snowflake, Databricks and AWS for healthcare and FMCG teams, plus the RAG, ML and decision-support systems that sit on top. The pattern I keep seeing is simple: AI only works when the data underneath it does, so I build both layers.
- Currently
- Data Engineer at WeCrunch
- Based
- Remote, UAE and Pakistan
- Focus
- Data platforms plus the AI on top
- Open to
- Senior Data & AI roles and select consulting
Two disciplines, one engineer
I keep both layers sharp on purpose. The data platform and the AI that runs on it are the same job done well.
Data Engineering
Production lakehouses & pipelines that are reliable, auditable, and cheap to run.
- Azure: ADF, Databricks, Delta Lake, Event Grid, Logic Apps
- Snowflake: Snowpipe, Streams & Tasks, SnowSQL, Snowpark
- AWS: Glue, Lambda, S3, Lake Formation, Step Functions
- Medallion architecture · ELT orchestration · PySpark · Airflow
AI Engineering
LLM and ML systems built on solid data foundations, from RAG to clinical decision support.
- RAG pipelines & LLM apps (Llama, Pinecone, vector search)
- NLP and ML: recommendations, forecasting, classification
- Healthcare AI: clinical decision support, EHR/EMR modeling
- From prototype to production, with the data plumbing to match
Data Quality & Governance
Trust by design.
- Great Expectations DQ frameworks
- Schema-drift detection & alerting
- Lineage, audit logging, access control
Platform & DevOps
Ship it like software.
- CI/CD with GitHub Actions
- Config-driven, idempotent pipelines
- Cost & cluster optimization
Teaching & Mentoring
I mentor peers and students on cloud data engineering. Explaining things clearly is a senior skill.
How I got here
- 2021Data Engineer· Create Impact
AWS Glue/Lambda ETL · Snowflake models
- 2024AI Engineer· OctDaily (USA)
Healthcare AI · EHR/EMR ELT · decision support
- 2024 →Data Engineer· WeCrunch (UAE)
FMCG multi-country lakehouse · streaming
Awards and certifications
National competition placements and the certifications that keep the toolkit current.
Runner-Up, UBL Datathon
20222nd of 300 teams · AI Instant-Decision Loan Portal
Runner-Up, IEEE NEDUET DS Competition
20212nd of 30 teams · ATM-downtime ML model
- IBM Data Science
- IBM Data Engineering
- DeepLearning.AI NLP Specialization
- Snowflake Hands-On Essentials (×3)
- Databricks Lakeflow Spark Pipelines
- 365DataScience SQL & Advanced SQL
Let's build something that ships.
Hiring for a senior Data/AI role, or need a data platform that actually holds up in production? Let's talk.
or email me directly at muhammaduzairkhan329@gmail.com