Ahmed Abdelwahed

I’m a Data Engineer focused on production ETL and automation, using PostgreSQL schema design and data validation to keep workflows consistent. At Cyan Group in Kuwait, I designed normalized PostgreSQL schemas to model end-to-end order workflows, built Python automation to sync inventory and production data, and implemented validation rules that reduced inconsistent/duplicate records—cutting data entry errors by 35% and improving real-time reporting accuracy.

Before that, I built Python-based ETL pipelines for Volvo Cars’ automotive testing data, reducing manual handling time by an estimated 20 hours/week and lowering transcription errors, while increasing downstream report accuracy by 25% through deduplication, outlier handling, and schema validation with pandas. I’m currently expanding into cloud data platforms (AWS/GCP), dbt, and Airflow as part of a structured path toward large-scale pipeline orchestration, and I’ve reinforced this direction with Hevy Flow—an ETL pipeline that loads data into a Supabase PostgreSQL warehouse with incremental sync and automated daily runs.