Data Engineering
Data You Can Finally Trust
Every AI ambition and every good decision sits on the same foundation: clean, governed, accessible data. We build that foundation at SMB scale — without enterprise bloat.
What we deliver
- Pipelines and orchestration with Apache Spark, Airflow, Kafka, and Databricks — production-grade, monitored, and documented.
- Lakehouse platforms using open formats (Iceberg, ORC, Avro) so you are never locked into a vendor.
- Database services across PostgreSQL, MySQL, MS SQL, Oracle, DB2, Amazon RDS, DynamoDB, and MongoDB — design, tuning, migration, and management.
- Governance: cataloging, quality rules, and access controls that keep data trustworthy and audit-ready.
Frequently Asked Questions
Our data is scattered across systems that don't talk to each other. Where do we start?
With a short data assessment: we map your sources, quality, and the two or three decisions you most need data for — then build the smallest pipeline that serves them.
Do you manage databases day to day?
Yes — architecture, performance tuning, backup and recovery, security and compliance, and lifecycle management, as a project or ongoing service.
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