Data Pipelines
Reliable batch/stream ingestion with orchestration and observability.
From data ingestion to dashboards and AI build a platform that drives decisions and growth.
Talk to an Analytics Lead
Reliable batch/stream ingestion with orchestration and observability.
Modern modeling, governance, and performance at scale.
Self-service dashboards, semantic layers, and ML-driven analytics.
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Step 1 · Discovery
We start with structured workshops to map your goals, critical KPIs, data sources, and existing tools. This gives us a clear picture of what “success” should look like.
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Step 2 · Design
We translate requirements into a scalable architecture covering data models, storage, security, and governance for your cloud platform of choice.
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Step 3 · Build
Our engineers build reliable data pipelines, semantic layers, and intuitive dashboards that turn raw data into trusted insights.
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Step 4 · Enablement
We don’t just hand over the solution—we train your users, document everything, and support you as the platform scales.
Get up and running fast.
Full modern data stack.
We run it for you.
Power BI, Looker, Tableau, and custom dashboards.
Yes, common sources include Salesforce, HubSpot, SAP, NetSuite, and more.
Yes, we build and schedule ETL/ELT pipelines using dbt, Airflow, or cloud-native services for seamless data movement.
Absolutely. We implement role-based access, row-level security, and auditing frameworks to ensure compliance and data integrity.
Yes, our managed analytics service includes proactive monitoring, performance tuning, and continuous improvement of your dashboards and pipelines.