Overview

Calyntix Group, a mid-sized financial services company, faced challenges with fragmented legacy data stored across multiple systems, including SQL databases, Excel files, and on-premise ERP systems. The company struggled to consolidate data for analytics, generate timely insights, and scale its reporting capabilities. Calyntix Group collaborated with Bacancy to migrate all legacy data to Snowflake, creating a centralized, cloud-native analytics platform. The solution enabled real-time analytics, reduced reporting delays, and empowered data-driven decision-making across the organization.

Technical Stack

  • Snowflake
  • Python
  • SQL
  • Apache Airflow
  • AWS
  • Power BI
  • Tableau

    • Industry

    Finance

  • region

    • Region

    USA

  • project-size

    • Project Size

    Non-Disclosable

Highlights

Migrated multi-source legacy data to a single Snowflake platform

Enabled enterprise-scale analytics with faster, real-time reporting

Streamlined ETL pipelines and automated data workflows

Scalable solution supporting large volumes of structured and semi-structured data

Challenges & Solutions

Legacy data was fragmented across multiple systems

  • Solution: Calyntix Group consolidated multiple data silos into a unified Snowflake environment, enabling seamless integration across departments. This central repository became a single source of truth, improving accuracy and consistency in enterprise-wide analytics and reporting.

Manual ETL processes caused delays and errors

  • Solution: Leveraging Bacancy’s data migration expertise, expert data engineers automated the entire ETL workflow using Python and Airflow. This modernization ensured high-speed, reliable, and error-free migration while maintaining data integrity throughout the process.

Non-technical staff struggled to access and interpret data insights

  • Solution: User-friendly dashboards and visualization tools were built on top of Snowflake, empowering non-technical business users to explore data intuitively. This democratized access to analytics, accelerating insight-driven decisions across teams.

Scaling analytics for increasing data volume and users

  • Solution: Snowflake’s elastic architecture was optimized to handle rapid data growth and concurrent user queries. This ensured high performance, scalability, and cost efficiency as Calyntix Group expanded its analytics ecosystem.

Core Features

  • Centralized Snowflake Data Warehouse
  • Real-Time Analytics and Dashboards
  • Scalable Cloud-Native Architecture
  • Support for Structured and Semi-Structured Data

Result

  • no.-of-resources

    • No. of Resources

    7

  • time-frame

    • Time Frame

    March 2025 - October 2025

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