Redbird AI syncs payroll, compensation, and HR data from ADP directly into your dbt transformation workflows. Stop manually exporting CSV files, writing brittle extraction scripts, or waiting on engineering to update your people analytics pipelines.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically pull new hires, terminations, and employee attribute changes from ADP into your warehouse staging layer. Redbird triggers dbt model runs to keep your people analytics up-to-date without manual intervention.
Extract payroll runs, compensation changes, and bonus data from ADP into structured tables. Redbird orchestrates dbt transformations to calculate departmental cost metrics, comp ratios, and headcount trends automatically.
Stream time tracking, PTO balances, and overtime hours from ADP to your warehouse. Redbird triggers dbt models that join attendance patterns with project data for labor utilization dashboards.
Push calculated performance scores, tenure segments, and retention risk flags from your dbt analytics layer back into ADP custom fields. Keep HR teams working in familiar tools with enriched context.
When dbt tests detect missing employee IDs, duplicate payroll records, or unexpected null values in ADP source data, Redbird notifies your data team immediately. Catch upstream data issues before they break downstream models.
Capture point-in-time salary, benefits, and compensation structure data from ADP before each pay period closes. Redbird loads snapshots to your warehouse and runs dbt models to build slowly-changing dimension tables for historical reporting.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize ADP and dbt with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands ADP's payroll and HR data structures and how they map to clean, tested dbt models in your analytics warehouse.
Redbird automatically maps ADP employee records, compensation tables, time entries, and org hierarchies to your warehouse schema. It recognizes dbt model dependencies, test configurations, and materialization strategies to orchestrate transformations whenever ADP data changes. The platform handles type conversions between ADP's API formats and your warehouse, manages incremental loads for large payroll datasets, and triggers selective model rebuilds based on which ADP entities updated.
faster than building custom ADP extractors and Airflow DAGs for dbt orchestration
Redbird can pull from ADP and dbt simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either ADP or dbt.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from ADP into dbt, or from dbt back into ADP. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start workflows from any ADP event or dbt model state change and automate across your entire data stack.
Fires when a new hire is created in ADP with an active employment status.
Triggers when ADP finalizes a pay period and calculates all employee compensation.
Detects salary adjustments, bonus payments, or rate changes for any employee.
Pull current employee records with demographics, job details, department, and manager hierarchy.
Retrieve detailed pay run data including earnings, deductions, taxes, and net pay by employee.
Export hours worked, PTO taken, overtime, and attendance exceptions for a specified date range.
Fires when a specific dbt model successfully builds or refreshes in your warehouse.
Triggers when data quality tests fail on source tables or transformed models.
Detects when ADP source data hasn't been updated within expected time thresholds.
Execute a targeted subset of models or an entire dbt project to refresh transformed data.
Run data quality tests on source tables or analytics models to validate transformations.
Compile and publish updated data lineage, column descriptions, and model documentation.
Sync ADP with dbt and turn payroll data into analytics-ready models automatically. Redbird handles the extraction, orchestration, and transformation logic so your team can focus on insights.