Flask-Based ETL Microservice for Scalable Data Processing by Anna Isoyan

Flask-Based ETL Microservice for Scalable Data Processing by Anna IsoyanFlask-Based ETL Microservice for Scalable Data Processing by Anna Isoyan

Flask-Based ETL Microservice for Scalable Data Processing

Anna Isoyan

Contact for pricing

About this service

Summary

I provide a Flask-based microservice solution for handling complex ETL (Extract, Transform, Load) processes. With expertise in Python, I design scalable data pipelines to automate data extraction from various sources, perform transformations, and load the processed data into databases or cloud storage.

What's included

Flask Microservice
A fully implemented Flask-based ETL microservice exposing RESTful endpoints for initiating, monitoring, and completing ETL tasks. Docker containerization of the microservice for easy deployment.
ETL Pipeline Scripts
Python scripts for data extraction, transformation, and loading operations. Configurable pipelines for different data sources and destinations.
Deployment & Integration
Flask application deployed to cloud or containerized environments (e.g., AWS, Google Cloud, Docker, Kubernetes). Configurations for database connections, API integration, and cloud storage setup.
Documentation
Clear and detailed API documentation for integrating with the ETL microservice, including authentication, data processing steps, and response formats
Monitoring and Logging Setup
Integration with logging tools (e.g., Loggly, Datadog) to track job statuses, errors, and system health. Setup for real-time monitoring of ETL jobs can be discussed.

Skills and tools

Data Modelling Analyst

Data Analyst

Data Analysis

Flask

Kafka

pandas

PySpark

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