Orases | Automated ETL Pipeline for Data Processings
Nabeel Farooq
Overview:
Orases, a leading software development company, is seeking an experienced ETL Developer to build a fully automated data pipeline using Apache Airflow, AWS S3, AWS Glue, and Amazon Athena. The goal is to streamline data ingestion, transformation, and analysis, enabling real-time insights and reducing manual data processing efforts.
Project Scope:
✅ Extracts data from an API source and ingests it into a processing system.
✅ Processes & Transforms data using Apache Airflow and stores it in PostgreSQL.
✅ Loads & Stores processed data into Amazon S3 for scalability.
✅ Structures & Catalogs data with AWS Glue Crawler and maintains metadata in AWS Glue Data Catalog.
✅ Enables Querying & Analysis using Amazon Athena to facilitate business insights.
Tech Stack Required:
🔹 Apache Airflow
🔹 PostgreSQL
🔹 Amazon S3
🔹 AWS Glue
🔹 Amazon Athena
Benefits of the ETL Pipeline:
✅ Automated Data Processing: Eliminated the need for manual log collection.
✅ Scalability: AWS services handled large-scale log data with minimal overhead.
✅ Cost Optimization: Serverless processing reduced database maintenance costs.
✅ Data-Driven Decisions: Allowed real-time monitoring of user engagement patterns.
Automation Engineering
Like this project
Posted Mar 4, 2025
Developed an ETL pipeline using Apache Airflow, AWS S3, and Athena to automate data ingestion, transformation, and analysis for Orases.
Likes
0
Views
3
Timeline
Jan 3, 2025 - Mar 2, 2025
Clients
Orases
