Skylv Data Pipeline Builderv1.0.1

Sync order data from MySQL production database to BigQuery analytics warehouse every hour for real-time dashboards. Uses incremental sync to minimize load and ensures up-to-date revenue reports.

Extract transaction data from a REST API (with bearer token auth), transform by removing duplicates and validating fields, then load into PostgreSQL for fraud analysis. Scheduled daily to process new transactions.

Ingest CSV files of lead data, remove duplicates on email field, fill missing ages with 0, and validate email format before loading into a clean PostgreSQL table for campaign automation.

Create a daily summary pipeline that aggregates transaction data from PostgreSQL by date and product, computing sum(revenue) and count(*), then loads into a summary table for executive dashboards.

Migrate patient records from on-premise MySQL to cloud-based Snowflake data warehouse with schema validation and data quality checks. Scheduled overnight to minimize disruption.

Charge customers based on the volume of data processed (e.g., per GB or per pipeline run). This model scales with customer growth and aligns costs with value delivered.

Offer different subscription tiers (e.g., Basic, Pro, Enterprise) with increasing limits on pipeline count, source/destination connectors, and scheduling frequency. Higher tiers include advanced features like custom code transforms.

Provide the tool as a fully managed service, including setup, maintenance, and support for complex pipelines. Charge a flat monthly fee plus additional consulting fees for custom integrations.