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Backend Enhancement and Data Engineering Platform Development for Sustainability Data Analysis

beetroot

Environmental Services

Business services

Code Quality and Scalability Issues

Normative, a startup focused on sustainability data analysis, initially faced challenges with the quality of their existing codebase, which was developed by a data scientist without robust development practices. This resulted in suboptimal performance, maintainability issues, and difficulty in scaling the platform to meet growing client demands. They require a modernized and high-quality backend infrastructure to support their data science and data engineering needs.

About the Client

Normative is a tech startup providing data analysis and calculation services to large companies focused on sustainability metrics like CO2 emissions, water usage, and social responsibility. They lack in-house technical expertise and require outsourced backend development.

Project Goals

Improve the overall quality and maintainability of the existing backend codebase.
Develop scalable backend services for data science and data engineering tasks.
Enhance data processing capabilities for calculating environmental footprints and scraping data.
Establish robust testing frameworks for various company services and offers.
Migrate existing code to a more reliable and efficient architecture.

System Functionality

Data ingestion from various sources (API, files, etc.).
Data cleaning and transformation.
Calculation of environmental impact metrics (CO2, water, etc.).
Data storage and retrieval.
API endpoints for accessing data and functionalities.
Automated testing suite.

Technology Preferences

Python

MongoDB

REST APIs

Testing Frameworks (e.g., pytest)

External System Integrations

Data scraping tools/APIs.
Potentially integration with cloud storage (e.g., AWS S3).

Non-Functional Requirements

Scalability to handle increasing data volumes.
High performance for data processing tasks.
Security to protect sensitive data.
Maintainability and code quality.
Reliability and availability.

Expected Business Impact

This project is expected to significantly improve Normative's operational efficiency by enhancing code quality, enabling scalable data processing, and facilitating faster development cycles. Improved code quality will reduce maintenance costs and increase platform stability. Scalable infrastructure will allow Normative to onboard more clients and handle larger datasets. Ultimately, this project will enable Normative to deliver more reliable and valuable services to its clients, solidifying its position as a leader in the sustainability data analysis market.