Service group
Data
Data engineering, dashboards, pipelines, and reporting systems that turn scattered operational data into decision-ready visibility.
Pipelines, dashboards, and fractional analysis for teams that need clarity before headcount.
Services in this category
Specific services you can scope from this category
Start with a package or pick a precise service. Every item links into the master catalog or a deeper service page where available.
Data Pipeline Architecture Design
Data Pipeline Architecture Design is designed for startups and scaleups building their first real data infrastructure from scattered sources. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceETL Pipeline Development
ETL Pipeline Development is designed for teams moving data from operational databases, apis, or files into a warehouse on a schedule. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceELT Pipeline Development
ELT Pipeline Development is designed for companies using cloud warehouses (bigquery, snowflake) where transformation happens in-warehouse via dbt. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceApache Airflow Orchestration Setup
Apache Airflow Orchestration Setup is designed for engineering teams that need a production-grade workflow scheduler with dependency management and alerting. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View servicePrefect Workflow Orchestration
Prefect Workflow Orchestration is designed for teams wanting a modern python-native orchestrator with a managed cloud option and simpler ops overhead. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceDagster Orchestration Setup
Dagster Orchestration Setup is designed for data teams that need asset-centric orchestration with software-defined assets and integrated lineage. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View servicedbt Core Setup and Model Development
dbt Core Setup and Model Development is designed for teams with a warehouse who need sql-based transformation, testing, documentation, and version control. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceData Pipeline Monitoring and Alerting
Data Pipeline Monitoring and Alerting is designed for any team running production pipelines that need sla monitoring, failure alerts, and on-call routing. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceChange Data Capture (CDC) Setup
Change Data Capture (CDC) Setup is designed for companies needing near-real-time sync from transactional databases (postgres, mysql) into their warehouse. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceAPI-to-Warehouse Ingestion Setup
API-to-Warehouse Ingestion Setup is designed for businesses pulling data from rest or graphql apis (stripe, hubspot, salesforce) on automated schedules. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceBatch Processing Pipeline
Batch Processing Pipeline is designed for teams processing large volumes of historical or daily data that does not require real-time latency. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceData Pipeline Testing Framework
Data Pipeline Testing Framework is designed for engineering teams that need automated tests for data freshness, row counts, nulls, and business logic. DataDost scopes, builds, and documents the implementation - delivering working infrastructure your team operates, not a hand-wavy recommendation. Every engagement includes architecture docs, runbooks, and a monitored handover.
View serviceHow this works
This page follows the same DostFlow methodology used across DataDost work: discovery, solution design, build, UAT, deploy, and hypercare.
Every client-facing route documents scope, risk, expected artifacts, and the next action so buyers can evaluate the business outcome without decoding agency jargon.
Governance by default
We maintain access controls, change logs, data handling notes, and handover documents even for lean teams. This is how enterprise operating discipline becomes practical for growing companies without a full internal data department.