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I will help you debug airflow data pipelines
AI Research Engineer
As a Python Engineer, I have developed expertise in integrating AI with business needs, automating business workflows, and building custom Data x AI applications. I do enjoy building solutions from sc...
About this Gig
Are you struggling with broken Airflow DAGs, stuck workflows, or errors? Let me be your data pipeline savior! As an Apache Airflow specialist with debugging experience, I'll diagnose and resolve issues in your ETL/ELT processes, ensuring reliability and performance.
What I Offer:
- Pipeline Debugging: Fix task failures, python library dependency issues, scheduler errors, and misconfigured Airflow DAGs.
- Performance Optimization: Reduce execution times, resolve resource bottlenecks, and streamline data pipeline workflows.
- Error Analysis: Decode logs, troubleshoot connectivity issues (DBs, APIs, cloud services), and implement retry/crash recovery.
- Best Practices: Harden pipelines with monitoring, alerting, and scalability upgrades for high-volume data.
Why Choose Me?
Transparent Process: Clear explanations, actionable fixes, and documentation.
Note:
Before ordering, message me with:
- Your Airflow setup (version, environment)
- Specific errors/log snippets
- Pipeline goals (e.g., SLA deadlines)
Lets Get Your Pipelines Running SmoothlyMessage Me First to Discuss!
Tools & Platforms:
Other
My Portfolio
FAQ
What details do you need to start?
Share your DAG code, error logs, and custom operators/hooks. A 15-minute call accelerates diagnosis.
How quickly can you fix my pipeline?
Most issues are resolved within 24 hours. Complex cases may take longer, but I’ll provide timelines upfront.
Do you handle cloud-based Airflow (MWAA, Cloud Composer)?
Yes! I’m experienced with AWS deployments.
What if the fix requires infrastructure changes?
I’ll propose cost-effective solutions and collaborate with your team to implement them.
Do you offer post-debug support?
Yes! Optional monitoring setups and follow-up reviews ensure long-term stability.
