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I will build apache airflow dags with backfills retries and alerting

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Data Engineer Python SQL Spark AWS GCP Airflow dbt

I’m a freelance Data Engineer (ex-Amazon, Slido/Cisco, Santander). I build reliable data pipelines and analytics foundations so dashboards, ML and GenAI run on data you can trust. WHAT I DO • ETL/ELT...

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I build production-ready Airflow DAGs that are safe to operate: rerun-safe tasks, backfills, retries, and alerting.

What you get:

Clean DAG structure and task boundaries
Retry and timeout strategy
Backfill and reprocess approach (where applicable)
Alerting guidance (Slack/email/webhook)
Documentation and a handover call

Scope notes:

Fixed scope per package (sources and DAG count). Additional DAGs or sources are add-ons.
I can work with repo access or deliver a zipped project.
Credentials should be least-privilege.

Choose a package, share your source and destination, and I will implement a DAG your team can run in production.