Dylan Hercher
Engineering Manager at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDylan Hercher is an engineering manager in Google’s San Francisco office with 11 years of experience building and operating data-intensive systems. He moved from hands-on roles in BI and solutions engineering at General Assembly and Alooma into strategic cloud and software engineering at Google, and now leads teams delivering scalable data and cloud services. His background includes practical ETL and data pipeline work—contributing Java utilities and BigQuery improvements to GoogleCloudPlatform/DataflowTemplates—so he blends leadership with deep familiarity of production data workflows. Colgate-educated and product-minded, he’s comfortable translating business requirements into reliable, maintainable pipeline code and tooling. Colleagues describe him as a manager who still dives into code to unblock teams and improve system reliability.
11 years of coding experience
9 years of employment as a software developer
Colgate University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
etl10
javas10
dataflow-programming10
bigquery10
data-pipelines10
data-pipeline10
dataflow10
java10
data-engineering10
database9
admin9
jdbc9
database-administration9
databases9
Programming languages (5)
Github contributions (5)
GoogleCloudPlatform/DataflowTemplates
Mar 2020 - Jul 2022
Cloud Dataflow Google-provided templates for solving in-Cloud data tasks
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:11 reviews, 93 commits, 8 PRs in 2 years 4 months
Contributions summary:Dylan primarily contributed to the development of Java utilities for the Google Cloud Dataflow templates project. Their work included improvements to BigQuery utilities, creating a CDC Dead Letter Queue addition, and refactoring the BigQuery mapper to clean up the schema. These contributions suggest a focus on data processing, potentially ETL, and improving the reliability and functionality of the data pipelines.
gcpgoogle-cloud-platformgoogle-cloudgoogle-cloud-storagedataflow
GoogleCloudPlatform/professional-services-data-validator
Jan 2020 - Oct 2022
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Contributions:59 reviews, 449 commits, 50 PRs in 2 years 8 months
data-validationcompare-dataheterogeneousschema-validationensure
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