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. Following the successful migration, Calyntix Group extended the engagement with Bacancy to strengthen data governance and optimize platform costs as the environment scaled.

Technologies Used

Snowflake
Python
SQL
Apache Airflow
Power BI
Git

Project Highlights

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Migrated multi-source legacy data to a single Snowflake platform

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

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Streamlined ETL pipelines and automated data workflows

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Scalable solution for large volumes of structured & semi-structured data

Challenges & Solutions

1

Legacy data was fragmented across SQL databases, Excel files, and on-premise ERP systems, with no common layer connecting them

2

Manual ETL processes caused reporting delays, data errors, and heavy engineering effort

3

Non-technical staff struggled to access and interpret data insights without depending on IT

4

Scaling analytics was difficult to keep up with growing data volumes and a rising number of users

Solutions by Bacancy

1

Our Snowflake developers 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.

2

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.

3

Bacancy’s data analysts built user-friendly dashboards and visualization tools on top of Snowflake, empowering non-technical business users to explore data intuitively. This democratized access to analytics, accelerating insight-driven decisions across teams.

4

Our data engineers optimized Snowflake’s elastic architecture 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

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Centralized Snowflake Data Warehouse

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Real-Time Data Analytics and Dashboards

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Scalable Cloud-Native Data Architecture on Snowflake

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Support for Structured and Semi-Structured Data

No. of Resource

11

No. of Resource

Time Frame

March 2025 - Ongoing

Time Frame

Project Snapshot

Calyntix Group Dashboard

Outcomes

60% faster analytics across reporting, reconciliation, and forecasting workloads

Peak-hour report failures eliminated, even with every team querying at once

Legacy data unified from SQL databases, Excel, and the on-prem ERP into a single Snowflake platform

Month-end reporting dropped from hours to minutes

Snowflake costs cut by 42% after warehouse right-sizing and spend monitors

Role-based access, data masking, and cost monitors added to keep the scaled platform secure and efficient

Technical Stack

Cloud Data Platform Snowflake
Programming Language PythonSQL
Workflow Orchestration Apache Airflow
Data Integration Snowflake Connector for Python
Data Governance Snowflake RBACDynamic Data MaskingRow Access Policies
Cost Optimization Snowflake Resource Monitors
Business Intelligence Power BI
Version Control Git

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