CI/CD pipelines are optimized for code deployments. Long-running operational processes and self-service workflows can be ...
Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, ...
A production-grade ETL pipeline using Apache Airflow that reads data from Excel, validates with 14+ rules, and loads into PostgreSQL with full error handling. apache ...
Should I create my own Airflow task using Python, or should I use an Airflow Operator? At first both looked similar because both execute work. But after building pipelines with AWS Glue → Glue Crawler ...
Lead Big Data Engineer | Azure & Databricks | Governed Data Solutions | Scalable Pipelines | Cloud Integration | ETL/ELT Automation | Certified Databricks Data Engineer Associate | Certified DP-700 ...
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