Morning Star EngineeringMorning Star Engineering

Technology

The Stack We Work In

We choose tools based on fit, not familiarity or vendor incentives. Below is the technology we work with day-to-day - from the plant floor to the lakehouse.

OT & Historian

Where operational data originates. We extract, contextualize, and move it to where it can be used.

OSI PIAspen IP.21Seeq

Streaming & Orchestration

Moving data reliably from source to destination - whether in real time or on a schedule.

Apache KafkaApache FlinkApache Airflow

Processing & Transformation

Turning raw operational data into clean, structured, analytics-ready tables.

Apache SparkdbtDelta Live Tables

Lakehouse & Storage

The platform layer where data lands, is governed, and is made available for analysis.

DatabricksDelta LakeApache IcebergMinIO

Formats

Open, interoperable formats that avoid lock-in and work across the entire stack.

ParquetAvroDelta

Governance & Quality

Knowing what data you have, who can access it, and whether it can be trusted.

Unity CatalogGreat ExpectationsDataHub

Observability

Pipeline health, model performance, and infrastructure metrics - visible before they become problems.

GrafanaPrometheusMLflow

Languages

The primary languages we write production code in.

PythonSQLSpark / Scala

Infrastructure

Reproducible, version-controlled infrastructure that doesn't become a maintenance burden.

KubernetesTerraformDocker

Cloud

We work across all three major clouds. Platform decisions are driven by your requirements, not our preferences.

AWSAzureGCP