Daniel Tenedorio
Apache Spark Committer at Databricks
Belmont, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDaniel Tenedorio is a senior staff software engineer and Apache Spark committer specializing in SQL query processing and distributed databases. He leads SQL language features at Databricks, synchronizing production runtime work with Apache Spark and shipping cross-stack open source integrations. Previously he spent over a decade designing and operating F1, Google’s fault-tolerant distributed relational database, where he architected and launched a production query optimizer and led teams enabling user-defined functions and federated query extensions. Daniel combines deep compiler/parser and query planning expertise with hands-on backend implementation—most recently contributing Spark support for DEFAULT column semantics and improved SQL error handling. Based in Belmont, CA, he blends technical leadership, large-scale system design, and a proven track record of turning ambiguous problems into prioritized, deliverable work.
4 years of coding experience
12 years of employment as a software developer
University of California, San Diego
Github Skills (10)
javas10
apache-spark10
parser10
parsing10
sql10
parse10
java10
data-engineering10
datatypes9
code-generation9
Programming languages (2)
Github contributions (5)
apache/spark
Apr 2022 - Jan 2023
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:997 reviews, 7 commits, 169 PRs in 9 months
Contributions summary:Daniel contributed to the Apache Spark project by implementing features to support DEFAULT column values in SQL. Their work involved modifying the parser and code generation modules to handle these new constructs within the CREATE TABLE and INSERT statements, building a foundation for future data insertion work. Furthermore, they are responsible for making improvements to existing SQL code and error messages, covering all functions, including those for AVRO data. The user's commits demonstrate their focus on enhancing the project's SQL functionality.
apache-sparkpythonscalarjava
dtenedor/spark
Jan 2023 - Jul 2026
Apache Spark - A unified analytics engine for large-scale data processing
Contributions:702 pushes, 85 branches in 3 years 6 months
apache-spark
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