Our multidisciplinary team efficiently created business impact through this streamlined process. Initially, our Cloud Solutions Architect conducted research by interviewing stakeholders and reviewing the tech stack to understand the current and desired situations. This led to proposing a new architecture focused on scalability, reliability, and cost-effectiveness.
In the implementation phase, we set up a Stitch SaaS solution for TimescaleDB, utilized an existing S3 data lake, integrated with Snowflake, and established version control, a scalable data model, orchestration and transformations with dbt. We set up Snowflake databases and schemas to facilitate progressive improvement of raw, source-specific data into clean, business-ready tables.
Key deliverables in this process were among others: leveraging dbt for code reduction. Original files that were more than a 100 lines long could be reduced to 5 lines, giving the exact same outcome while improving readability and maintainability. Another deliverable was enabling self-service dasboarding, making Flo Energy’s data accessible for their employees to make informed, data-driven decisions.
The final stage involved iterative platform improvements. We refined the data model, enhanced the data quality, optimized the infrastructure, included cost control and implemented data governance and security. Most importantly, we onboarded the internal employees to enable them to maintain the data platform themselves.