Data Engineering project using Apache Airflow and AWS

As an experienced Big Data Engineer having expertise in Airflow, I will orchestrate seamless data workflows. With expertise in DAG design and workflow automation, I will optimize data pipelines for efficiency and reliability. 



I am proficient in Python scripting and task scheduling, I will ensure data integrity and timely execution. I have experience in integrating diverse data sources and implementing error-handling mechanisms, my solutions guarantee robust ETL processes. 



Leveraging Airflow's features, I bring order to complex data ecosystems. From custom operators to DAG optimization, my portfolio showcases a track record of streamlining data processes for enhanced business intelligence. Let's elevate your data architecture together!


I will install Apache Airflow, and will create end-to-end python based data pipelines and will orchestrate using Apache Airflow. I will develop two separate DAGs (Directed Acyclic Graphs). The first DAG focuses on fetching data from an API/source and the second DAG will be triggered to perform data processing.



At the end, I will provide a complete detailed documentation of the solution!