Production-grade ETL/ELT, stream processing, orchestration, and lakehouse architecture on Databricks, Snowflake, AWS, and GCP. We build the data infrastructure your AI and analytics teams depend on.
From first-mile ingestion to last-mile delivery — we own every layer of your data pipeline.
End-to-end pipeline design and implementation across batch and micro-batch patterns. We build idempotent, observable pipelines with built-in data quality checks, schema evolution handling, and automated alerting — so your engineers stop firefighting and start shipping.
Real-time data ingestion and transformation using Apache Kafka and Spark Streaming. We design low-latency event pipelines that power operational dashboards, fraud detection, and personalization engines with sub-second SLAs.
Apache Airflow and dbt workflow management across complex multi-system pipelines. We standardize your DAG patterns, implement environment parity between dev and production, and instrument every workflow for cost and performance observability.
Unified lakehouse architecture spanning S3/GCS/ADLS, Delta Lake/Iceberg, and Snowflake/BigQuery. We eliminate the siloed lake vs. warehouse debate with a single logical data tier that serves both exploration and production reporting.
We hold certifications across every major platform we recommend — so advice is grounded in hands-on production experience.
Platform certifications, enterprise track record, and compliance expertise you will not find at a general-purpose consultancy.
21+
Enterprise Pipeline Implementations
4
Major Cloud Certifications
99.9%
Pipeline Uptime SLA
<90d
Avg Time to Production
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