Redbird AI syncs payroll, compensation, and employee data from ADP directly into Databricks for analytics and ML. Stop exporting CSVs, writing brittle extraction scripts, or waiting for HR data to flow into your lakehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync payroll runs, salary changes, and bonus data from ADP into Delta tables as soon as they're processed. Build real-time dashboards and forecasting models on fresh compensation data without waiting for monthly exports.
Capture new hires, terminations, role changes, and department transfers from ADP in real time. Feed this data into ML models that forecast headcount needs, predict attrition risk, and optimize talent allocation across teams.
Pull time entries, attendance records, and leave balances from ADP into your lakehouse. Join with project data to analyze utilization rates, identify capacity gaps, and optimize resource allocation.
Push attrition scores, performance predictions, and compensation benchmarks calculated in Databricks back into ADP custom fields. Give HR teams access to data science insights directly in their workflow without leaving the HCM system.
Trigger notifications in ADP or connected systems when ML models identify employees at risk of leaving or compensation anomalies that require review. Surface predictive insights to HR teams before problems escalate.
Automatically capture and version every payroll cycle, benefits enrollment change, and tax filing record from ADP into immutable Delta tables. Maintain complete audit trails for compliance and historical analysis without manual archiving.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize ADP and Databricks 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 schemas and Databricks' lakehouse architecture, so you can move HR data into analytics pipelines without building custom connectors.
Redbird automatically translates ADP's employee records, pay components, deduction codes, and time entries into normalized Delta Lake schemas. It handles complex hierarchies like org structures and benefits elections, maintains referential integrity across payroll cycles, and incremental updates to avoid full refreshes. Whether you're syncing current headcount or archiving years of compensation history, Redbird preserves the relationships between employees, jobs, and pay events.
faster than building ADP extraction pipelines with REST APIs and Spark jobs
Redbird can pull from ADP and Databricks 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 Databricks.
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 Databricks, or from Databricks 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 from any payroll cycle, employee event, or model run to automate HR data workflows across both platforms.
Fires when a pay period is processed and finalized in ADP.
Triggers when an employee record is created or marked as terminated.
Fires when salary, title, department, or manager is updated for any employee.
Retrieve current employee profile, employment status, and organizational assignment.
Extract pay runs, earnings codes, deductions, and net pay for specified periods.
Write calculated metrics or predictions back into ADP custom field values.
Fires when new records are written to a specified Delta Lake table.
Triggers when a Databricks job finishes training or retraining a model.
Fires when a scheduled or on-demand notebook run reaches completion.
Insert or upsert structured data into a specified Delta table with schema enforcement.
Run a SQL statement or trigger a notebook with parameters for analysis or transformation.
Score records using a registered MLflow model and return predictions or embeddings.
Connect ADP and Databricks in minutes and start automating payroll data pipelines, workforce analytics, and HR reporting without custom code.