Sync PayPal transactions, fees, and settlement data directly into BigQuery for analysis. Stop exporting CSVs, manually reconciling payment data, or waiting on engineering to build custom ETL pipelines for your financial reporting.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture every PayPal transaction, refund, and fee as it happens and load it into BigQuery tables. Keep revenue dashboards, executive reports, and financial models updated without manual exports or batch uploads.
Match PayPal payer IDs and transaction references to customer records, product SKUs, and marketing attribution data already in BigQuery. Build complete customer lifetime value models that connect payment behavior to acquisition costs and engagement metrics.
Cross-reference PayPal settlement amounts with expected revenue from BigQuery sales data, flag discrepancies, and surface fee anomalies. Eliminate manual reconciliation spreadsheets and reduce month-end close time for finance teams.
Run anomaly detection queries in BigQuery on PayPal transaction volumes, refund rates, or dispute counts. Trigger notifications when patterns deviate from historical norms, helping teams catch fraud or payment processing issues early.
Move aging PayPal transaction records into BigQuery cost-effective storage while maintaining full query access. Preserve years of payment history for compliance, tax audits, and multi-year trend analysis without PayPal storage limitations.
Calculate affiliate commissions, vendor payments, or creator earnings using BigQuery analytics, then automatically initiate mass payouts through PayPal. Eliminate manual payout file preparation and reduce payment processing time from days to hours.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and PayPal 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 both BigQuery's columnar data structures and PayPal's transaction schemas, so you can automate payment data flows without writing transformation logic or managing API credentials.
Redbird's AI recognizes PayPal's transaction IDs, payer information, item details, fee structures, and settlement batches, then intelligently maps them to your BigQuery schema. It handles timezone conversions between PayPal timestamps and your warehouse conventions, flattens nested JSON from PayPal webhook payloads into queryable columns, and maintains referential integrity when linking transactions to existing customer or order tables. No custom Python scripts or dbt models required.
faster than building custom PayPal ETL scripts and BigQuery load jobs
Redbird can pull from BigQuery and PayPal 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 BigQuery or PayPal.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into PayPal, or from PayPal back into BigQuery. 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 automations from payment events in PayPal or query results in BigQuery — Redbird handles the rest.
Trigger when a scheduled BigQuery query returns results exceeding defined thresholds for transaction counts, revenue totals, or refund rates.
Detect when new payment records, calculated commission amounts, or flagged transactions appear in specified BigQuery tables.
Fire when BigQuery finishes running scheduled revenue reports, settlement reconciliations, or payment analytics jobs.
Write PayPal transaction data, fees, refunds, or dispute information directly into BigQuery tables with proper schema mapping.
Modify existing BigQuery rows to reflect PayPal settlement confirmations, payment status changes, or reconciliation results.
Execute custom SQL queries to analyze payment trends, calculate metrics, or identify records requiring PayPal payout actions.
Trigger when a customer completes a PayPal payment, capturing transaction details, item information, and fee amounts.
Detect when refunds are processed through PayPal, including partial refunds, full reversals, or dispute-related adjustments.
Fire when PayPal finalizes daily or periodic settlement batches, providing reconciliation-ready transaction groups.
Initiate bulk PayPal payouts to multiple recipients based on commission calculations or vendor payment schedules from BigQuery.
Generate and send PayPal invoices to customers or clients using billing data and amounts determined by BigQuery analytics.
Add custom notes or tags to PayPal transactions based on enrichment, classification, or reconciliation results from BigQuery.
Stop manually syncing PayPal data into BigQuery or building custom ETL pipelines. Redbird connects your payment platform to your data warehouse and keeps financial analytics current automatically.