Fernando Velasquez
Software Engineer at Google
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolFernando Velasquez is a versatile software engineer with 11 years of experience and a Bachelor's in Computer Science, currently building backend systems at Google from his New York base. He has a strong track record designing and delivering server-side architectures across e-commerce, media licensing, and enterprise integrations, with deep Java expertise and additional Scala and Python experience. Fernando has led teams and projects—from engineering management and tech lead roles to hands-on development of data warehousing on Redshift and complex Spring Boot microservices—often under tight deadlines. He contributes to open source tooling for data analytics frameworks, improving Spark streaming checkpointing and file handling in the CDAP project. Comfortable with SQL and NoSQL ecosystems, JPA/jOOQ/Hibernate, and tooling across the Atlassian stack, he pairs pragmatic engineering with a knack for integrating disparate systems. Colleagues rely on him for turning messy integration requirements into robust, production-ready services.
11 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at Universidad Simón Bolívar
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (12)
google-cloud-storage10
javas10
storage10
spark10
checkpoint10
spark-streaming10
cloud-object-storage10
google-cloud10
java10
checkpointing10
configuration-management9
apache-hadoop8
Programming languages (5)
Github contributions (5)
cdapio/cdap
Oct 2020 - Jan 2023
An open source framework for building data analytic applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:432 reviews, 147 commits, 151 PRs in 2 years 2 months
Contributions summary:Fernando primarily focused on enhancing the Spark-based class rewriting logic within the CDAP framework. Their contributions involved adding a timestamp to temporary files for checkpointing in Spark streaming pipelines using GCS, fixing constructor typos, and adding a configuration option to control this behavior. Additionally, the user implemented logic to handle and rewrite temporary file names for checkpointing within the Spark streaming context, which addressed rate limit issues with streaming pipelines. They also made several styling and comment fixes.
integrationpythonanalyticsanalyticjava-8
data-integrations/google-cloud
Nov 2020 - Nov 2022
A collection of Google Cloud Platform (GCP) plugins
Contributions:335 reviews, 302 commits, 269 PRs in 2 years
gcpcdap-plugingooglegoogle-cloud-platformsap-hana
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