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What we build

What you get

  • Batch and streaming ingestion from APIs, files and databases
  • Orchestrated workflows in Apache Airflow and Cloud Composer
  • Warehouses and data lakes in BigQuery, Cloud Storage and S3
  • Document processing and knowledge graphs that feed AI systems
  • Data quality checks, lineage and run history

Tools we often use

  • BigQuery
  • Apache Airflow
  • Cloud Composer
  • Dataflow
  • Apache Beam
  • Python
  • PostgreSQL
  • Parquet
  • Avro

Approach

How we do it

  1. Trace the sources

    Where every number comes from, how often it changes, and who trusts it.

  2. Model the warehouse

    Tables designed around the questions people ask, not the source systems.

  3. Orchestrate

    Scheduled, retryable workflows with clear ownership of each step.

  4. Watch quality

    Checks on volume, freshness and values, with alerts before bad data spreads.

Considering data pipelines and ETL?

Tell us where you are today and where you want to be. We will reply within one business day with honest next steps.

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