Victor Chiapaikeo is a Senior Data Engineer with over a decade of experience designing large-scale, fault-tolerant data pipelines and cloud-native infrastructure for companies like Netflix, Etsy, and Facebook. He blends deep expertise in ETL/ELT, dimensional modeling, Airflow, Spark, Kafka and BigQuery with hands-on DevOps skills in Kubernetes, Terraform and CI systems to reliably move and validate data at scale. An active contributor to the flagship Apache Airflow project, he has improved key BigQuery and GCS operators and sensor integrations that hundreds of teams rely on in production. Comfortable across Python, Java/Scala, TypeScript and SQL, he’s known for pragmatic, performance-minded solutions and for surfacing subtle schema and autodetect issues before they reach downstream consumers. Based in Jersey City, he combines enterprise-grade engineering with an open-source mindset and a track record of shipping measurable, production-ready data products.
10 years of coding experience
12 years of employment as a software developer
Bachelor's Degree Economic Development International Relations, Bachelor's Degree Economic Development International Relations at Colgate University
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:35 reviews, 39 PRs, 167 comments in 4 years 5 months
Contributions summary:Victor primarily focused on improving the `GCSToBigQueryOperator` within the Apache Airflow project, addressing issues with schema handling and autodetect functionality. They also worked on enhancing the `ExternalTaskSensor`, allowing the use of `XComArgs`. Additional contributions included addressing a UI issue and modifying the `BigQueryColumnCheckOperator` for better performance. Furthermore, the user contributed to fixing several issues around the BigQuery and Google Cloud provider's operators and hooks.
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