Summary
Mohammed Khan is a Senior Data Engineer based in Toronto with nine years of engineering experience and over four years focused on modern data platforms, notably leading migrations from BigQuery to Databricks Lakehouse for multi-terabyte datasets. He builds and productionizes scalable batch and streaming pipelines using Spark (PySpark), Apache Beam, and dbt, and drives CI/CD and IaC practices with GitHub Actions and Terraform to shorten delivery cycles. His practical experience spans GCP (GCP-certified) and AWS services, and he has operationalized complex Dataproc and Cloud Functions workloads into Databricks Spark jobs. Mohammed pairs hands-on coding with analytics engineering—delivering automated dbt models and Looker visualizations that turn raw data into business insights. Colleagues rely on him to bridge technical teams and business stakeholders, and he has a track record of improving team productivity through automation during large-scale platform transitions. An uncommon strength is his combined academic background in big data (Master’s) and early research experience in software-defined networks, which informs pragmatic designs for distributed data systems.
9 years of coding experience
5 years of employment as a software developer
Master's degree Computer Science Big Data, Master's degree Computer Science Big Data at Trent University
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at National Institute of Technology Karnataka
English, Arabic, Urdu, Hindi