Data Engineering & Analytics

Turn data into decisions. Build insights that drive growth.

We build data pipelines, analytics platforms, and business intelligence systems that transform raw data into actionable insights. From real-time dashboards to predictive analytics, we help you make data-driven decisions.

What We Deliver

  • Data pipeline design & ETL/ELT systems
  • Real-time analytics dashboards & BI platforms
  • Data warehousing & lake architecture
  • Custom reporting & visualization systems
  • Event tracking & analytics implementation
  • Data integration from multiple sources
  • Predictive analytics & data modeling

Our Philosophy

"Data is only valuable when it drives action. We build systems that make insights accessible, not just available."

Who It's For

SaaS companies with growing data needs who want to unlock insights without building a dedicated data team.

Tools & Technologies

PythonSQLPostgreSQLSnowflakeBigQuerydbtAirflowTableauMetabaseApache Spark

Frequently Asked Questions

What types of data engineering projects do you handle?

We build data pipelines (ETL/ELT), data warehouses, analytics dashboards, business intelligence platforms, real-time data processing systems, and custom reporting solutions. We work with structured and unstructured data from multiple sources.

What data platforms and tools do you work with?

We work with modern data stacks including Snowflake, BigQuery, PostgreSQL, Redshift, dbt for transformations, Airflow for orchestration, and visualization tools like Tableau, Metabase, and custom dashboards. We choose the right stack based on your needs and scale.

Can you help us migrate from spreadsheets to a proper data platform?

Absolutely. We regularly help companies move from manual spreadsheet processes to automated data pipelines and analytics platforms. This typically includes data modeling, pipeline development, dashboard creation, and training your team on the new system.

How do you handle data quality and reliability?

We implement data validation, quality checks, error handling, and monitoring at every stage of the pipeline. We use tools like dbt for testing, set up alerting for data anomalies, and build dashboards to track data health. Data reliability is built into the architecture.

What does data engineering pricing typically look like?

Simple analytics dashboards start around $10,000. Data pipeline and warehouse projects typically range from $25,000-$50,000. Complex multi-source data platforms with real-time processing can range from $50,000-$75,000 depending on complexity and scale.

Ready to Get Started?

Let's discuss how we can help transform your ideas into scalable software solutions.