Giovanni Briggs
Senior Solutions Engineer at Recurrency
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGiovanni Briggs is a senior solutions engineer with a decade of experience delivering data-driven cloud solutions and go-to-market technical leadership in SF Bay Area startups. He combines hands-on software engineering with strategic pre- and post-sales expertise, having helped stand up Airtable's integration program and currently guiding Recurrency's technical growth and repeatable processes. An active open-source contributor, he’s focused on Apache Airflow and GCP integrations, implementing robust BigQuery hooks, schema management, and reliable defaults—demonstrating a knack for turning complex data workflows into production-ready assets. His background spans roles across integration engineering, solution architecture, and customer enablement, enabling him to architect scalable solutions while shepherding cross-functional teams. Giovanni holds a CS&E degree from Santa Clara University (MS and BS) and has repeatedly built bridges between engineering and customer value in fast-moving environments. Based in San Francisco, he thrives at the intersection of data engineering, cloud platforms, and enterprise-scale software delivery.
10 years of coding experience
9 years of employment as a software developer
Saint Ignatius College PreparatorySanta Clara University
English
Stackoverflow
2,358reputation
289kreached
69answers
0questions
multiprocessing
top-5%
pandas
top-5%
python
top-5%
Github Skills (23)
apache-airflow10
bigquery10
python10
data-engineering10
gcp10
pandas9
data-pipelines9
etl9
data-pipeline9
multiprocessing9
orchestra8
orchestration8
automations8
automation8
unit-testing7
Programming languages (4)
Github contributions (5)
apache/airflow
Oct 2016 - Nov 2016
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Data Engineer
Data EngineerContributions:7 PRs, 11 comments in 1 month
Contributions summary:Giovanni primarily contributed to enhancing and expanding the functionality of Google Cloud Platform (GCP) integrations within the Apache Airflow project. They fixed a decode error in the Google Cloud Storage to BigQuery operator, implemented new features such as schema update options, and improved handling of Salesforce Hook date handling. This included modifications to BigQuery hooks, operators, and related tests. Additionally, the user made a change to ensure immutability when defining default arguments.
monitorpythonschedulerapacheprogrammatically
TheF1rstPancake/destiny2
Dec 2017 - Nov 2018
Contributions:32 commits, 42 pushes, 3 branches in 1 year
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