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Automated Data Pipeline with Make.com & Keboola
Data pipeline automation using Slack, Make.com, and Keboola DataOps.
Make.com Keboola Slack DataOps
Overview
I built an automated data pipeline that connects Slack, Make.com, and Keboola DataOps for ingestion, transformation, monitoring, and delivery. The workflow reduces repetitive processing and gives stakeholders timely status updates.
Process & Approach
Challenges
- Normalizing data from several source formats
- Monitoring failures across a multi-step workflow
- Keeping processed data and stakeholder updates synchronized
Solutions
- Built modular workflows for ingestion and transformation
- Added validation checkpoints and failure notifications
- Delivered pipeline status updates through Slack
Outcomes
- Reduced repetitive manual data processing
- Made pipeline failures easier to identify
- Created reusable workflow components for later projects
Technologies Used
Make.comKeboola DataOpsSlack APIData Pipelines