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Modernization of Data Analytics Infrastructure for Financial Decision-Making

sunscrapers.com

Financial services

Information technology

Current Challenges in Data Analytics

The organization faces intense competition in the financial sector and requires faster, more accurate analytics to support critical business decisions. Their existing data infrastructure lacks efficiency in report delivery, manual processes create delays, and legacy systems (e.g., Athena) hinder scalability and performance for modern data workflows.

About the Client

Large enterprise financial services company focused on leveraging data-driven insights for competitive advantage

Key Project Objectives

Implement automated data pipelines for real-time analytics
Migrate legacy data warehouse to Snowflake for improved performance
Develop an internal Data Portal to streamline report generation
Establish CI/CD practices for scalable data infrastructure
Enhance collaboration between data science teams through knowledge sharing

Core Functional Requirements

Automated data pipeline orchestration using Apache Airflow
Snowflake-based data warehouse migration framework
Self-service Data Portal for report generation and visualization
CI/CD integration for data pipeline deployment
Automated routine task execution for data scientists

Preferred Technologies

Django

Pandas

Numpy

Typescript

React

Apache Airflow

AWS

Terraform

Docker

Required System Integrations

Snowflake
AWS Cloud Services
Docker Containerization
Terraform Infrastructure-as-Code
Apache Airflow

Critical Non-Functional Requirements

High scalability for growing data volumes
Enterprise-grade security and compliance
99.9% system uptime for critical analytics workflows
Low-latency data processing performance
Cross-platform compatibility for hybrid environments

Expected Business Impact

The modernized analytics platform will enable 40% faster decision-making cycles, reduce manual data processing tasks by 70%, and improve data accuracy through centralized Snowflake warehouse operations. Automated pipelines and the Data Portal will empower business units to access real-time insights while maintaining enterprise security standards.