Moira Tagle
Senior Software Engineer at Anomalo
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolMoira Tagle is a Senior Software Engineer in the San Francisco Bay Area with 13 years building robust backend systems and cloud integrations across startups and large engineering organizations. She has deep expertise in change-data-capture, connectors, and data workflows—contributing notable fixes and feature work to Debezium’s MySQL connector and to Kafka-to-BigQuery tooling—and has strengthened GCP integrations and auth patterns in Apache Airflow. Her career spans LinkedIn, WePay, Rivian and now Anomalo, reflecting a consistent focus on reliable, production-grade data infrastructure and connector resiliency. Moira combines hands-on backend development with DevOps sensibilities, improving observability, metrics, and fault-handling like dynamic batching and quota handling. Colleagues value her pragmatic approach to complex serialization, authentication, and restartable connector state, and she brings strong CS/math foundations from Harvey Mudd College to system design and debugging.
13 years of coding experience
11 years of employment as a software developer
B.S. Computer Science/Math, B.S. Computer Science/Math at Harvey Mudd College
Stackoverflow
1reputation
0reached
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0questions
Github Skills (44)
json10
api-rest10
apache-airflow10
kafka-connect10
google-cloud-platform10
bigquery10
data-pipelines10
python10
mysql10
api-design10
restful-api10
debezium10
kafka10
workflow-engine10
datastore10
Programming languages (2)
Github contributions (5)
wepay/kafka-connect-bigquery
Aug 2016 - Jul 2019
DEPRECATED. PLEASE USE https://github.com/confluentinc/kafka-connect-bigquery. A Kafka Connect BigQuery sink connector
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:51 commits, 112 PRs, 68 pushes in 2 years 11 months
Contributions summary:Moira primarily focused on improving the functionality of the Kafka Connect BigQuery connector. Their work included implementing table descriptions with Kafka schema documentation, adding metrics for the connector, and addressing issues related to optional structs and null messages. They also refactored the system to handle quota exceeded errors, and implemented dynamic batch sizes for BigQuery requests.
bigquerykafka-connect
linkedin/rest.li
Nov 2012 - Aug 2015
Rest.li is a REST+JSON framework for building robust, scalable service architectures using dynamic discovery and simple asynchronous APIs.
Role in this project:Back-end Developer
Back-end DeveloperContributions:67 commits in 2 years 9 months
Contributions summary:Moira primarily contributed to the Rest.li framework, focusing on improving its core functionality. Their work involved enhancing custom types, actions, and keys within the framework. Significant changes were made to the generation of request builders and response decoders. Additionally, the user addressed issues related to primitive-returning actions and pson-encoded data handling, indicating their involvement in the framework's API and serialization aspects.
asynchronous
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