Composer DAG for Data Ingestion Pipeline

@alluankit01

Hi, I can create your Google Cloud Composer DAG for event-based data ingestion from CSV, XLS, and TXT files into BigQuery, including pre-ingestion script selection and Dataflow job triggering. The best solution is to first review your 25 process types, file naming rules, existing Python scripts, GCS folder structure, Pub/Sub trigger, BigQuery target tables, and Dataflow parameters. Then I’ll build a clean Airflow DAG that detects the incoming file/process, runs the correct pre-ingestion script, converts XLS to CSV when needed, loads validated data into BigQuery, and triggers the Dataflow job with required input parameters. I’m comfortable with Google Cloud Composer, Airflow DAGs, Pub/Sub event triggers, Cloud Storage, Python operators, Bash/Python scripts, CSV/XLS/TXT ingestion, BigQuery loading, Dataflow job triggers, parameterized workflows, logging, retries, and ETL pipeline design. Deliverables will include: * Composer/Airflow DAG * Pub/Sub event-based trigger * File type detection * Process-wise script routing * XLS-to-CSV conversion step * CSV/TXT ingestion handling * BigQuery load step * Dataflow trigger with parameters * Logging and retry handling * Setup and deployment notes I’ll focus on a clean, configurable ingestion DAG that supports all 25 processes, runs the right pre-processing logic, and reliably loads data into BigQuery. Best regards Ankit

@JunaidBadroodien

Your project to create a Composer DAG for data ingestion is a crucial step toward enhancing your data processing capabilities. The need for handling multiple file formats and executing specific pre-ingestion scripts demonstrates a clear understanding of your data pipeline's complexity. By automating the identification of the input file type and triggering the appropriate Python scripts, we can ensure a seamless transition from raw data to actionable insights. I propose developing a robust Composer DAG that not only integrates with Cloud Storage but also supports event-driven triggers through Pub/Sub. This will facilitate efficient data ingestion from CSV, XLS, and TXT files, and ensure that the processed data is accurately stored in BigQuery. Leveraging my expertise in Google Cloud Composer and experience with various data ingestion methods, I will create a solution that meets your specific requirements while maintaining high performance and reliability. This approach will streamline your data workflows, reduce manual intervention, and ultimately empower your team with timely access to critical information. Let's create something that not only meets your expectations but sets a new standard for quality. Regards Junaid