Kaleem Abdul

I’m a GCP Data Engineer with 5 years of experience delivering production-grade data platforms for Ford Motor Company (USA) and British Telecom (UK). I specialise in BigQuery ELT pipeline development, Cloud Composer orchestration, and end-to-end data product ownership across batch and streaming workloads.

At Ford, I’ve been the sole data engineer owning EU vehicle service data across multiple European markets. I built and maintained BigQuery ELT pipelines and reusable transformation models for reliable dashboard refreshes, managed Cloud Composer DAGs for orchestration and failure alerting, and implemented SQL-based reconciliation and validation to improve reporting consistency.

I also developed internal products that teams adopted across full engineering groups, including a “SQL Lineage Finder” that uses Python parsing and DAG construction for clearer dependency understanding. I built a “Git Activity & PR Intelligence Dashboard” by ingesting GitHub REST API data into BigQuery, automating weekly reporting and enabling management to review deployment efficiency and sprint health.

Previously at Tata Consultancy Services, I served as a System Engineer on BT/Openreach projects, designing end-to-end data products using StreamSets, PySpark on Dataproc, and scheduled BigQuery routines. I migrated 15+ enterprise fibre analytics entities from Oracle to GCP, applied BigQuery optimization (partitioning, clustering, incremental loading, materialized views), and used Pub/Sub and Cloud Functions for event-driven workflows—earning multiple recognitions and holding the Google Cloud Certified Professional Data Engineer credential.