We architect end-to-end ETL pipelines using industry-standard tools like Apache Airflow, Snowflake, and dbt to solve your data challenges. Our solutions encompass real-time data ingestion, automated quality checks, and scalable data warehousing – all designed to unlock insights from your business data while ensuring compliance and security.
ETL Pipeline Development
We engineer Apache Airflow and Dagster workflows that process terabytes of data through Python-based transformation layers. Our solutions handle JSON, CSV, and SQL sources, implementing data quality checks via Great Expectations. We specialize in CDC patterns for financial compliance and HIPAA-compliant healthcare integrations.
Stream Processing
We create scalable stream processing systems that process data within milliseconds for mission-critical operations. Our expertise spans event-driven architectures using Apache Kafka, Apache Flink, and custom implementations to meet your specific latency, throughput, and fault-tolerance requirements. We'll build the right solution together.
Data Lake Architecture
We design and build scalable data lakes using open-source frameworks like Delta Lake and Apache Iceberg, enabling versioned data storage and ACID transactions. Our designs support structured SQL analytics and unstructured object storage, with built-in data governance and security controls. Let us help you build your next-generation data platform.
We develop custom ETL pipelines and data lakes using industry-standard tools like Apache Airflow, Kafka, and Snowflake to solve your specific business challenges. Whether you need batch processing or real-time analytics, our team designs scalable solutions that turn your data into actionable insights.
