Pablo Defino

Big Data And Analytics Cloud Consultant, Google Cloud

San Francisco, California, United States
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Summary

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Rockstar
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Top School
Pablo Defino is a Big Data and Analytics Cloud Consultant at Google Cloud with 11 years of experience designing and delivering large-scale data platforms and integrations. He has a strong background in cloud-native architectures, ETL/streaming systems and enterprise integration from roles at Google, Globant and multiple Fortune clients, and has led teams building production-grade platforms using AWS, GCP, Kafka-style patterns and CI/CD automation. An active contributor to Apache Beam, he has hands-on experience improving Java SDK BigQuery write paths and CDC performance—a sign he bridges product-level consulting with low-level systems optimization. Based in San Francisco, he combines technical leadership and architecture fluency with a history of turning complex legacy landscapes into reusable, scalable services. Notably, he pairs enterprise-scale program management with deep implementation chops, having both led 10+ consultant teams and shipped core SDK changes to a major open-source data processing project.
code11 years of coding experience
job10 years of employment as a software developer
bookComputer Science, Computer Science at Universidad de la República
languagesSpanish, English
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Github Skills (15)

javas10
beamng10
bigquery10
data-pipelines10
data-pipeline10
apache-beam10
java10
beam10
streaming9
apidoc9
api9
big-data9
sql5
go4
python4

Programming languages (5)

HCLTypeScriptJavaGoPython

Github contributions (5)

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apache/beam

May 2022 - Jan 2023

Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
userBack-end Developer
Contributions:82 reviews, 6 commits, 27 PRs in 8 months
Contributions summary:Pablo primarily contributed to the Apache Beam project by improving the Storage API write functionality within the Java SDK. They made enhancements related to BigQuery write operations, including optimizing performance with stream clients and adding configuration for CDC (Change Data Capture) functionality. Their work involved modifying core classes and interfaces within the Java SDK, such as `StorageApiWriteUnshardedRecords.java`, and `StreamingWriteTables.java`. They also addressed bugs and made improvements in the BigQueryIO integration.
golangpythonstreaming-databeambatch
Contributions:25 commits, 16 pushes, 1 branch in 3 months
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