Denise Wiedl
Senior Software Engineer at InfluxData
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolDenise Wiedl is a Senior Software Engineer in San Francisco with 11 years of experience building scalable back-end systems, developer tooling, and performance-sensitive client features. She combines deep systems work—contributing to notable open-source projects like Apache Arrow and DataFusion in Rust and improving Parquet and timezone handling—with hands-on DevOps and CI/CD improvements at InfluxDB. Denise excels at turning complex data requirements into robust implementations, demonstrated by mission-critical work on Planet’s order management for hundreds of thousands of records and OData-to-SQL compiler work at Lanetix. Comfortable across languages and stacks, she favors pragmatic, well-tested solutions and has a knack for performance tuning and memory tracking that often goes unnoticed. She prefers distributed teams and thrives in collaborative environments where asking good questions and continuous learning drive better engineering outcomes.
11 years of coding experience
12 years of employment as a software developer
Immersive Software Engineering Bootcamp, Immersive Software Engineering Bootcamp at Hackbright AcademyBachelor of Science (BS), Bachelor of Science (BS) at Allegheny CollegeMaster's degree, Master's degree at Columbia University in the City of New York
Github Skills (27)
data-engineering10
memory-management10
bash10
circleci10
cicd10
apache-arrow10
sql10
parquet10
rust10
zone9
dockers9
docker9
performance-optimization9
timezone9
query-engine9
Programming languages (8)
Github contributions (5)
apache/datafusion
Aug 2023 - Mar 2025
Apache DataFusion SQL Query Engine
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:224 reviews, 59 PRs, 333 comments in 1 year 7 months
Contributions summary:Denise primarily focused on enhancing the data handling capabilities of the Apache DataFusion SQL Query Engine. Their work included implementing timezone handling for timestamps and date-related functions, and enabling support for various timezones in type coercion. Furthermore, they contributed to the ParquetSink implementation by providing access to file metadata, and enhanced the system by tracking memory usage during Parquet writer encoding. These changes directly improved DataFusion's ability to process and output data effectively, particularly related to date and time-based data analysis.
querypythonquery-enginedataframerust
apache/arrow-rs
Aug 2023 - Jan 2025
Official Rust implementation of Apache Arrow
Role in this project:Back-end Developer
Back-end DeveloperContributions:51 reviews, 10 PRs, 53 comments in 1 year 4 months
Contributions summary:Denise's contributions primarily focused on enhancing the Apache Arrow Rust implementation. They addressed documentation, memory usage estimations for the ArrowWriter and ColumnWriter components, and optimized performance through benchmarking. Additionally, they exposed methods from the arrow-schema library and improved code by making changes such as altering default parameters for performance tuning. They have also contributed to code quality enhancements.
rustolapapachearrowapache-arrow
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