Navigate your data journey
Paddle Data is your trusted partner in harnessing the power of data. We guide startups and enterprises through the complexities of data architecture, modeling, management, and engineering. Our expert team transforms raw information into actionable insights, helping you make data-driven decisions with confidence. From building robust data infrastructures to optimizing data flows, we are committed to propelling your business forward in the data-driven era.Your technology partner in
See how these capabilities come together in a greenfield Snowflake analytics platform, a streaming analytics engineering operating model, a financial reconciliation foundation, and a governed event activation platform.
Snowflake
BigQuery
AWS
Terraform
Segment
Mixpanel
GA4
dbt
Power BI
Looker
Portfolio
Fund an Analytics Engineering team and drive it towards a streaming data world
Set up a scalable development process around DBT, Snowflake, Ataccama, Prefect, Kubernetes and GitHub.
Greenfield data analytics infrastructure for a database-as-a-service startup
Created a greenfield analytics infrastructure based on Snowflake, Airbyte, Grafana and Hex for a leading Dutch database-as-a-service startup.
Financial reconciliation foundation for a Canadian home ownership fintech
Designed the foundational data model and reconciliations needed to align billing, ownership ledger, equity accounting and regulatory reporting.
Activate data for robust growth with business events
Helped a visionary startup stay on a growth path by rebuilding the eventing infrastructure at its core.Blog
Being a good archivist of data
A comprehensive walk through how Data Warehouses provide full traceability into historical truth by leveraging source system capabilities and filling in the gaps.
Tracking design & implementation
A practical analytics tracking implementation playbook covering schema design, CI/CD, active metadata, observability and team operating model.
Map out your DBT models
A learning journey that transformed our way of working with diagrams and lowered the boundaries of collaboration between business and data.
A testing framework for Snowflake Dynamic Tables
Following our challenges with trying to adopt Snowflake Dynamic Tables, we built a bespoke testing framework to support our scalability ambitions.
Snowflake Dynamic Tables are wonderful! But how do you test them?
In this article we cover our experience helping an Analytics Engineering team create a next-level data infrastructure based on Snowflake Dynamic Tables with a robust and responsive data quality testing framework.
Gone But Not Forgotten: Navigating Kafka tombstones with DBT
A story on how we supported an Analytics Engineering department of a top Digital Marketing enterprise adopt a consistent framework for modeling entities deleted by the sources using Kafka tombstones, the challenges we encountered and how this was made to work using DBT.
Taking data snapshots using DBT (part 2)
Following the previous thought process, we implemented an automation for data snapshoting in DBT.