Seamless Data Integration with Snowflake and AWS for Leading Gaming Brand

About the Client

The client is a prominent gambling company operating under a well-known gaming brand, with a presence across Europe and Asia. Committed to delivering high-quality gaming experiences, the brand relies on data-driven insights to optimize operations, enhance customer engagement, and drive business growth.

The Background

As the client continued to expand and evolve, they recognized the need for a more advanced gaming platform. This transition was critical for streamlining operations, improving efficiency, and leveraging data analytics to make smarter decisions, ensuring long-term success in a competitive market. 

The Challenge

The client faced a significant challenge in integrating data from a newly launched brand into their existing Enterprise Data Warehouse (EDW) on Snowflake while smoothly transitioning to a new gaming platform. Several factors made this integration complex:

  • Time Sensitivity: The data migration and integration needed to be completed quickly to avoid business disruptions
  • Resource Constraints: The internal team lacked the bandwidth and expertise required for a smooth and quick transition
  • Data Structure Differences: The new gaming platform’s data model required careful transformation to align with the existing EDW
  • Data Accuracy: Ensuring data consistency  between source and target systems was critical for maintaining high-quality analytics and reliable insights
  • Lack of Familiarity: Since the gaming platform was new, the team had limited knowledge of its data structures

Given the complexity of the task, the client partnered with us to ensure a seamless, quick, and efficient transition.

The Solution

The team devised a structured and scalable data integration strategy, leveraging AWS services and Snowflake to ensure a smooth, risk-free migration. By adopting an Agile methodology, we maintained an iterative and collaborative approach, allowing for continuous improvements, quick adaptations to unforeseen challenges, and seamless stakeholder alignment. This ensured that the integration remained efficient and responsive to evolving requirements. The execution was divided into key phases:

1. In-Depth Analysis & Strategic Planning

  • Analyzed the new gaming platform’s database and existing EDW to identify schema differences and key dependencies
  • Mapped data fields, transformations, and relationships to ensure  seamless compatibility with the existing Snowflake data warehouse structures
  • Designed a structured data pipeline architecture to enable smooth integration

2. Data Engineering & Pipeline Development

  • Built data pipelines for ETL (Extract, Transform, Load) from the source data 
  • Used AWS DMS (Database Migration Service) for efficient data migration from the platform to AWS S3
  • Leveraged Amazon S3 as an intermediate data lake for storage
  • Utilized dbt to structure and transform data from staging to the operational data source before integrating it into the EDW
  • Used Apache Airflow for pipeline orchestration, enabling automated updates every 15-30 minutes for near real-time data availability

Developed SQL stored procedures for complex transformations, ensuring data integrity and adherence to business rules

The Results

  • The new brand’s data was successfully integrated into Snowflake without disruptions, ensuring business continuity
  • Near real-time data updates enabled faster data-driven insights, enabling strategic decision-making
  • Centralized, accurate analytics empowered stakeholders with better reporting efficiency
  • AWS service minimized operational costs while handling increased data volume without excessive infrastructure expenses
  • A flexible pipeline architecture allowed easy integration of future data expansions and new brands

Post-Implementation Support & Knowledge Transfer

To ensure seamless transition, we provided extensive post-integration support, equipping the client’s team to manage the system independently.

  • Provided two months of post-integration support for resolving early-life technical issues and optimizing performance
  • Conducted KT sessions providing hands-on training for managing, troubleshooting, and optimizing data pipelines
  • Facilitated reverse KT to identify and address any knowledge gaps

Client Feedback

The client highly valued our expertise, adaptability, and proactive approach, praising the team’s ability to navigate uncertainties, maintain transparent communication and deliver high quality results on-time.

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