AI, ML & Data Engineering

Data Engineering & Pipelines

The boring plumbing your AI actually depends on.

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Batch, streaming, and lakehouse pipelines with contracts, lineage, and SLAs — the foundation every agent and model needs.

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Capabilities

What we build

Lakehouse

Iceberg / Delta on S3, GCS, Azure with table maintenance.

Streaming

Kafka, Flink, Kinesis, Pub/Sub with exactly-once semantics.

Contracts

Schema enforcement, breaking-change detection, owner SLAs.

Lineage & quality

OpenLineage, Great Expectations, Soda checks.

Outcomes

Measured results

99.95%
Pipeline uptime
Minutes
Freshness, not hours
100%
Lineage coverage
Why nexgts

Why teams pick us

  • dbt, Airflow, Dagster, Databricks, Snowflake fluent
  • Cost-aware design
  • Data contracts you can enforce
Use cases

Where it fits

Feature storesAudit-ready warehousesReal-time analyticsML-ready lakes

Ready to put Data Engineering & Pipelines into production?

We scope, build, and operate — usually in weeks, not quarters.

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