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
Automation Engineering
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Posted Mar 4, 2025

Developed an ETL pipeline using Apache Airflow, AWS S3, and Athena to automate data ingestion, transformation, and analysis for Orases.

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Timeline

Jan 3, 2025 - Mar 2, 2025

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Orases

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