Data Engineer public Remote experience
Dec 2021 - Current (4 years 8 months)
- Reduced critical SLA breaches 80% (from 15 to 3 per year) by engineering centralized monitoring across 15+ cloud and on-premise ETL pipelines using GCP Monitoring, Cloud Logging, and custom alerting scripts — enabling proactive incident resolution before client impact.
- Owned production support and on-call incident response (1–5 incidents/week) for 15+ pipelines processing up to 50 GB/day, including a high-volume pipeline ingesting 100M records/day from MySQL, SQL Server, and flat files into BigQuery with zero data-loss SLA.
- Architected and owned a scalable data extraction and processing framework using Airflow, BigQuery, and Cloud Run — adopted by 3 internal teams to serve 10+ clients, fully operational for 3+ years with no major arch