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Nina Reyes
Vetted

Nina Reyes

Senior Data Engineer

Experience

7+ Years

Availability

Full-time

English

Native

Python Apache Spark dbt BigQuery Airflow
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Verified by Second Talent Mar 2024
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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

Apache Spark Apache Kafka dbt Apache Airflow Fivetran

Warehousing

BigQuery Snowflake Redshift Delta Lake

Languages

Python SQL Scala Bash

Cloud

GCP AWS Docker Terraform

BI

Looker Metabase dbt Docs Great Expectations

Experience

Senior Data Engineer

2022 - Present

UnionBank 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 - 2022

Globe 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 - 2019

Thinking 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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