A Brief Introduction to Apache Airflow with Bambang Subekti

Bandung, March 26, 2026 — PT Tech Mayantara Asia (TMA) organized a workshop on data orchestration using Apache Airflow at its Bandung office. The event featured Bambang Subekti, a data engineer at TMA, as the main speaker, sharing insights on how Airflow can be utilized to build structured and scalable data pipelines.

The workshop was attended by data engineers, developers, and technology practitioners within TMA, aiming to enhance understanding of workflow orchestration—an essential component in the modern big data ecosystem. In his opening remarks, Bambang emphasized that managing data pipelines today can no longer rely solely on manual processes or simple scripting. Instead, it requires an orchestration system capable of handling dependencies, scheduling, and monitoring automatically.

In his presentation, Bambang explained the core concept of Apache Airflow as a platform that allows users to define workflows in the form of Directed Acyclic Graphs (DAGs). With this approach, each process within a pipeline is broken down into interconnected tasks with clearly defined execution sequences. This provides high visibility into data flows and simplifies the management of complex pipelines.

He also described various use cases for Airflow, including ETL (Extract, Transform, Load) processes, cross-system data integration, and machine learning pipeline orchestration. One of Airflow’s key strengths is its flexible scheduling capability, supporting both time-based and event-based triggers, making it highly suitable for diverse data processing needs.

Additionally, Bambang highlighted Airflow’s monitoring features. Through its interactive dashboard, users can easily track task statuses, detect failures, and perform automatic retries. These capabilities are critical in ensuring system reliability, particularly in production environments that demand high availability.

In the next session, Bambang discussed Airflow’s integration with other technologies within the data ecosystem, such as data warehouses, data lakes, and data ingestion tools. He explained that Airflow does not operate in isolation but serves as the “brain” that orchestrates workflows across multiple components in a data pipeline. With proper integration, data processing can become more efficient and well-coordinated.

He also emphasized best practices in using Airflow, including maintaining well-structured DAGs, writing modular code, and implementing logging and alerting mechanisms. These practices ensure that pipelines are not only functional but also maintainable and scalable for future development.

In the context of TMA’s implementation, Airflow plays a crucial role in building end-to-end data solutions. Bambang noted that Airflow is often used alongside other tools, such as data ingestion and streaming platforms, to create a modern and flexible data architecture.

The workshop was conducted in an interactive manner, featuring active discussions and Q&A sessions. Participants showed strong interest in exploring how Airflow can be applied in real-world projects, particularly for handling complex and large-scale data pipelines.

This event is part of TMA’s ongoing initiative to enhance internal capabilities and promote the adoption of open-source technologies in data solution development. By featuring internal practitioners as speakers, TMA fosters relevant and practical knowledge sharing aligned with actual project needs.

Through this workshop, TMA hopes that all team members will gain a deeper understanding of the critical role of orchestration in the data ecosystem and be able to utilize Apache Airflow effectively. With this expertise, TMA aims to continue delivering robust, scalable, and future-ready data solutions to meet the challenges of digital transformation across industries.