Leon Luttenberger
Software Development Engineer II at Amazon
Denver, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolLeon Luttenberger is a Software Development Engineer II at Amazon with a decade of experience building back-end and data engineering solutions, currently based in Denver. He combines strong academic foundations from a Master's in Computer Science with hands-on work on open-source AWS tooling, notably contributing to aws-sdk-pandas to improve Athena query handling, distributed S3 text reads, and Oracle upsert support. His work demonstrates a practical focus on scalable data access patterns and integrating databases and data lakes across the AWS ecosystem. At Amazon he has progressed through multiple SDE II roles, driving developer-facing features that make large-scale data workflows more reliable and performant. Colleagues would describe him as an engineer who bridges core database operations and cloud-native integrations, quietly prioritizing robustness and developer ergonomics. Beyond production systems, his contributions show an appetite for solving hard data engineering problems in open-source projects that benefit the broader AWS developer community.
10 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at University of Zagreb / Sveučilište u Zagrebu
Croatian, English, Italian
Github Skills (9)
pandas10
file-storage10
amazon-s310
athena10
sql10
python10
cloud-storage10
data-engineering10
data-pipeline8
Programming languages (2)
Github contributions (5)
aws/aws-sdk-pandas
Aug 2022 - Jan 2023
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Role in this project:
Back-end Developer & Data Engineer
Back-end Developer & Data EngineerContributions:14 releases, 425 reviews, 111 commits in 5 months
Contributions summary:Leon focused on enhancing the functionality of the AWS SDK for pandas library. They improved the parameter formatting for Athena queries, allowing for better control over the database queries. The user also addressed a major feature by implementing the distributed S3 read text functions to handle large text files more efficiently. Furthermore, they made several improvements for Oracle integration, including support for table upserts. The user's contributions demonstrate their understanding of core database operations within the context of data engineering.
awscsvdynamodbexcelmysql
LeonLuttenberger/aiops-modules
Feb 2024 - Jun 2024
MLOps modules is a collection of reusable Infrastructure as Code (IaC) modules for MLOps on AWS
Contributions:2 PRs, 111 pushes, 61 branches in 3 months
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