Julian Laneve
Chief Technology Officer at Astronomer
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolJulian Laneve is a product-focused engineering leader and CTO at Astronomer with 11 years of experience building developer-first data tooling and shipping production-ready data pipelines. He blends hands-on backend and data engineering contributions— including notable work in Apache Airflow and the astronomer-cosmos project that maps dbt projects into Airflow DAGs—with product leadership to tighten feedback loops between customers and engineering. At Astronomer he has progressed from launching the Cloud IDE to leading developer experience and data observability efforts, demonstrating a rare mix of product intuition and implementation depth. Earlier consulting work at BCG shows his ability to drive large operational transformations and lead engineering teams to measurable business outcomes. Trained in finance, applied mathematics, and statistics, he brings quantitative rigor to designing observable, reliable data platforms.
11 years of coding experience
4 years of employment as a software developer
BBA Finance; BS Applied Mathematics; BS Statistics; Minor Mgmt Science, BBA Finance; BS Applied Mathematics; BS Statistics; Minor Mgmt Science at Southern Methodist UniversityHigh School Texas Academy of Math and Science Computer Science Specializaiton, High School Texas Academy of Math and Science Computer Science Specializaiton at University of North Texas
English
Stackoverflow
3reputation
576reached
0answers
1question
Github Skills (20)
apache-airflow10
data-pipelines10
python10
data-engineering10
dbt10
airflow10
workflow-management10
data-pipeline10
jinja29
documentation9
orchestra8
pydantic8
orchestration8
aws8
workflow-engine8
Programming languages (14)
Github contributions (5)
astronomer/astronomer-cosmos
Dec 2022 - Mar 2023
Run your dbt Core projects as Apache Airflow DAGs and Task Groups with a few lines of code
Role in this project:
Data Engineer
Data EngineerContributions:35 releases, 229 reviews, 87 commits in 3 months
Contributions summary:Julian primarily contributed to the project by defining and implementing core types and structures, including `Task` and `Group`, essential for building a workflow. They further developed the dbt project parsing functionality, creating tasks for running and testing models, and structuring the DAG with dependencies. They also started the initial setup of dbt related features.
pythonairflow-dagsconnectorbigqueryapache
apache/airflow
Mar 2021 - Dec 2024
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:Backend Developer & Data Engineer
Backend Developer & Data EngineerContributions:7 reviews, 10 PRs, 14 comments in 3 years 10 months
Contributions summary:Julian primarily focused on improving documentation within the Apache Airflow codebase, updating docstrings to align with Sphinx standards across various modules. Their contributions span multiple provider integrations, including AWS, Google Cloud, and Salesforce, ensuring comprehensive documentation of operator parameters. Additionally, the user addressed minor code formatting issues and fixed typos, contributing to the project's overall maintainability and clarity.
monitorpythonschedulerapacheprogrammatically
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