Architecting High-Performance Data Pipelines with Modern ETL | Spiral Mantra
Key Technologies Used: Apache Airflow & Dagster – Workflow orchestration with DAG-based dependencies. Spark & dbt (Data Build Tool) – Optimized transformations for big data analytics. Kafka & Debezium for CDC – Real-time data synchronization with event-driven processing. Snowflake & BigQuery ELT – Leveraging columnar storage and materialized views. Data Lakehouse (Delta Lake & Iceberg) – Unified batch and streaming analytics.

Key Technologies Used:
Apache Airflow & Dagster – Workflow orchestration with DAG-based dependencies.
Spark & dbt (Data Build Tool) – Optimized transformations for big data analytics.
Kafka & Debezium for CDC – Real-time data synchronization with event-driven processing.
Snowflake & BigQuery ELT – Leveraging columnar storage and materialized views.
Data Lakehouse (Delta Lake & Iceberg) – Unified batch and streaming analytics.