AI & Machine Learning
Hire Data Engineers
Engineers who build the pipelines and schemas everything else depends on, and keep them trustworthy.
Data engineering earns its place at the point where reporting stops being a query somebody runs and starts being something the business decides on. Sazinga AdBoard, Rentals and Comply all sit on PostgreSQL, and the schemas, migrations and extract jobs behind them are maintained by the same engineers we hire out, which is why that work is treated as product code rather than as scripts.
When hiring, ask about the unglamorous half. How do their pipelines behave on a rerun, what happens when an upstream file arrives late or malformed, and how did they find out the last time a number was wrong. Engineers who have carried a pipeline in production answer with specifics about idempotency, reconciliation and alerting. The rest describe the happy path.
What these engineers do
- PostgreSQL schema design, indexing, partitioning and query plans under real write load
- Batch and incremental pipelines in Airflow or Dagster with idempotent reruns
- dbt models, tests and documented lineage in place of undocumented SQL sprawl
- Change data capture and warehouse loading into BigQuery, Redshift or Snowflake
- Data quality checks that block a bad load rather than reporting it the next morning
Delivered AI-first
AI assistance is used for the parts of data work that are structurally repetitive - generating dbt model and test stubs from a source schema, drafting pipeline DAGs, translating stored procedures into versioned SQL, and writing the migration scripts that accompany a schema change. Correctness is established by tests and by reconciliation against source counts, never by the assistant asserting it. Review of schema changes and migrations is unchanged. The measurable effect is throughput per engineer, not fewer reviews.
Built with Data Engineering at Sazinga
These are our own production applications, not client references — which is why the engineers have operated them, not just written them.