Chris Riccomini
General Partner at Materialized View Capital
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Riccomini is a seasoned software engineer, investor, and author with 15 years building and scaling data infrastructure for companies from LinkedIn and WePay to numerous early-stage startups. Now a General Partner investing in infrastructure startups, he combines hands-on backend and data engineering expertise—contributions to Apache Airflow and Kafka pipelines stand out—with product and team leadership experience running data platforms and ledgers. He brought key technologies like Kafka, Debezium, and BigQuery into production at WePay and improved schema registry and BigQuery integrations in widely used open-source projects. Chris also writes books and newsletters and is building SlateDB, reflecting a mix of technical authorship and operator instincts. His background in both deep engineering (streaming, ETL, data warehouses) and active seed investing gives him a rare ability to judge technical founders and ship scalable systems.
15 years of coding experience
18 years of employment as a software developer
MS Software Engineering, MS Software Engineering at Santa Clara University
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (31)
avro10
kafka-connect10
google-cloud-platform10
bigquery10
data-pipelines10
python10
data-engineering10
java10
gcp10
etl10
javas10
data-pipeline10
schema10
pandas9
unit-testing9
Programming languages (18)
Github contributions (5)
wepay/kafka-connect-bigquery
Oct 2016 - Sep 2020
DEPRECATED. PLEASE USE https://github.com/confluentinc/kafka-connect-bigquery. A Kafka Connect BigQuery sink connector
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:3 releases, 27 commits, 60 PRs in 3 years 11 months
Contributions summary:Chris primarily contributed to the codebase by refactoring and improving the topic-to-table resolution logic, including the sanitization of table names. They fixed issues related to Docker integration tests and GCS loader, correcting concurrent modifications and improving performance. Additionally, the user addressed schema update failures by logging table ID information and upgraded the project by applying the 3.1.1 upgrade.
sinkconnectorsink-connectorbigquerydata-governance
apache/airflow
Nov 2015 - Feb 2021
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:Back-end & Data Engineer
Back-end & Data EngineerContributions:2 reviews, 94 PRs, 22 pushes in 5 years 3 months
Contributions summary:Chris primarily contributed to the integration of BigQuery functionality within the Apache Airflow platform, adding the necessary hooks and operators to facilitate interaction with Google Cloud's data warehouse service. Their work included the creation of a BigQuery hook for interacting with the BigQuery API, adding support for various operations such as running queries, exporting and importing data. The user's contributions also involved integrating Pandas with BigQuery and integrating Google Cloud Storage.
monitorpythonschedulerapacheprogrammatically
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