Service group
Data and intelligence
Dashboards, data pipelines, cleanup, analytics, forecasting, anomaly detection, and fractional data support for clearer operating decisions.
Data cleanup, pipelines, dashboards, analytics, forecasts, anomaly detection, and fractional intelligence support for teams that need reliable visibility.
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 serviceData Lineage Implementation
Data Lineage Implementation is designed for companies preparing for data governance audits or needing to trace data from source to dashboard. 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 serviceReverse ETL Setup
Reverse ETL Setup is designed for teams pushing cleaned warehouse data back into crm, marketing tools, or operational systems. 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 serviceGoogle BigQuery Setup and Optimization
Google BigQuery Setup and Optimization is designed for startups and scaleups on gcp or wanting a serverless warehouse with strong sql and ml integration. 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 serviceSnowflake Data Cloud Setup
Snowflake Data Cloud Setup is designed for companies needing a multi-cloud warehouse with data sharing, near-zero management, and strong ecosystem. 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 serviceAmazon Redshift Setup and Tuning
Amazon Redshift Setup and Tuning is designed for aws-native companies migrating from s3-based ad-hoc queries to a structured analytical 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 serviceDatabricks Lakehouse Setup
Databricks Lakehouse Setup is designed for teams that need unified analytics and ml on the same platform with delta lake storage and spark compute. 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 serviceCategory depth
Data and intelligence systems covered here
This category covers the work that turns messy operational data into trusted visibility. DataDost AI can repair spreadsheet-heavy processes, connect business tools, define metrics, build dashboards, automate reporting, and maintain the intelligence layer after launch.
The work can be a focused dashboard build, a cleanup and migration project, a recurring fractional data function, or a larger data pipeline with monitoring and decision-support reporting.
- Business dashboards, KPI reporting, data pipelines, data cleanup, migration, and reconciliation
- Customer analytics, sales analytics, marketing analytics, finance dashboards, and operations dashboards
- Inventory analytics, forecasting, anomaly detection, daily owner digests, and exception reporting
- Fractional data team support for metric governance, reporting cadence, dashboard maintenance, and analyst delivery
Delivery pattern
From raw data to usable decisions
We start by mapping the real source systems, spreadsheet habits, owners, refresh needs, and decisions the data must support. From there we define fields, clean inputs, build pipelines, create dashboards, and put monitoring around the reporting layer.
For teams that already have a website, CRM, forms, inventory system, ad accounts, or finance exports but cannot trust the reports, DataDost AI can improve the existing structure instead of forcing a full rebuild.
- Metric definitions that prevent each team from reading a different version of the business
- Automated reports that reduce copy-paste work and late manual summaries
- Operational dashboards for owners, managers, sales teams, finance teams, and support teams
- Monitoring and maintenance so dashboards keep working after the initial launch