Leveraging Airflow To Build Scalable and Reliable Data Platforms at 99acres.com with Samyak Jain

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

Data orchestration is evolving rapidly, with dynamic workflows becoming the cornerstone of modern data engineering. In this episode, we are joined by Samyak Jain, Senior Software Engineer - Big Data at 99acres.com. Samyak shares insights from his journey with Apache Airflow, exploring how his team built a self-service platform that enables non-technical teams to launch data pipelines and marketing campaigns seamlessly.

Key Takeaways:

(02:02) Starting a career in data engineering by troubleshooting Airflow pipelines.

(04:27) Building self-service portals with Airflow as the backend engine.

(05:34) Utilizing API endpoints to trigger dynamic DAGs with parameterized templates.

(09:31) Managing a dynamic environment with over 1,400 active DAGs.

(11:14) Implementing fault tolerance by segmenting data workflows into distinct layers.

(14:15) Tracking and optimizing query costs in AWS Athena to save $7K monthly.

(16:22) Automating cost monitoring with real-time alerts for high-cost queries.

(17:15) Streamlining Airflow metadata cleanup to prevent performance bottlenecks.

(21:30) Efficiently handling one-time and recurring marketing campaigns using Airflow.

(24:18) Advocating for Airflow features that improve resource management and ownership tracking.

Resources Mentioned:

Samyak Jain -

https://www.linkedin.com/in/samyak-jain-ab5830169/

99acres.com -

https://www.linkedin.com/company/99acres/

Apache Airflow -

https://airflow.apache.org/

AWS Athena -

https://aws.amazon.com/athena/

Kafka -

https://kafka.apache.org/

Thanks for listening to “The Data Flowcast: Mastering Airflow for Data Engineering & AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.

#AI #Automation #Airflow #MachineLearning