About
Nina is a data engineer with strong expertise in building scalable data platforms and ETL pipelines. She has designed data warehousing solutions for telco and financial services companies, handling terabytes of data with strict SLA requirements. Her stack spans the modern data ecosystem from ingestion through transformation and serving, with deep experience in Apache Spark, dbt, and BigQuery. She is particularly skilled at building reliable, well-tested data pipelines that business teams can trust for decision-making.
Languages
English
Native
Filipino
Native
Skills
Data
Warehousing
Languages
Cloud
BI
Experience
Senior Data Engineer
2022 - PresentUnionBank of the Philippines
Leads the data platform team. Architected a lakehouse on BigQuery + dbt serving 200+ internal analysts with sub-minute data freshness for critical dashboards.
- Data platform serves 200+ analysts with 500+ dbt models and 99.8% pipeline SLA
- Migrated legacy ETL from stored procedures to dbt, reducing run time by 70%
- Real-time streaming pipeline processes 2M+ financial events/day via Kafka + Spark
Data Engineer
2019 - 2022Globe Telecom
Built and maintained ETL pipelines processing 5TB+ daily for customer analytics, network monitoring, and billing. Managed data quality across 50+ data sources.
- ETL pipelines processed 5TB+ daily across 50+ data sources with 99.5% accuracy
- Customer analytics platform powered $20M+ in targeted marketing campaigns
- Data quality framework reduced production incidents by 60%
Junior Data Engineer
2017 - 2019Thinking Machines
Built data pipelines and dashboards for enterprise clients in retail, logistics, and insurance. Developed ETL workflows using Python and Apache Airflow.
- Delivered data solutions for 8 enterprise clients across 3 industries
- Airflow DAGs automated 30+ manual reporting workflows
Education
M.Sc. Data Engineering
Ateneo de Manila University
2019
B.Sc. Statistics
University of the Philippines Diliman
2017
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