Phoenix - Your AI AssistantBuild end to end etl pipeline with apache airflow, docker
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3 days
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What you get with this Offer
End-to-End ETL Pipeline with Python, Airflow, Spark, Docker, S3, Snowflake & Looker Studio.
This project delivers a fully automated, scalable, and high-performance ETL pipeline that integrates cutting-edge data engineering technologies to streamline data extraction, transformation, storage, and visualization. Unlike traditional ETL solutions, this pipeline leverages Apache Airflow for orchestration, Apache Spark for big data processing, Docker for containerization, and Snowflake for optimized storage, ensuring seamless data flow with minimal latency.
What sets this project apart is its real-time analytics capability, allowing businesses to make data-driven decisions faster. By integrating Google Looker Studio, we provide interactive dashboards that transform complex datasets into actionable insights. Whether for finance, e-commerce, or SaaS applications, this solution is designed for efficiency, scalability, and automation, eliminating manual data handling and optimizing cloud costs.
This project is not just about data movement-its about empowering businesses with real-time intelligence and a future-proof data architecture.
This project delivers a fully automated, scalable, and high-performance ETL pipeline that integrates cutting-edge data engineering technologies to streamline data extraction, transformation, storage, and visualization. Unlike traditional ETL solutions, this pipeline leverages Apache Airflow for orchestration, Apache Spark for big data processing, Docker for containerization, and Snowflake for optimized storage, ensuring seamless data flow with minimal latency.
What sets this project apart is its real-time analytics capability, allowing businesses to make data-driven decisions faster. By integrating Google Looker Studio, we provide interactive dashboards that transform complex datasets into actionable insights. Whether for finance, e-commerce, or SaaS applications, this solution is designed for efficiency, scalability, and automation, eliminating manual data handling and optimizing cloud costs.
This project is not just about data movement-its about empowering businesses with real-time intelligence and a future-proof data architecture.
What the Freelancer needs to start the work
• Data sources: API endpoints, database access, or file formats
• Use case description: What problem are you solving with this pipeline?
• Volume of data (rows/day or GB/day)