🧩 What This Covers#
I automate the processes of extracting, transforming, and loading (or staging) data - whether it follows an ETL or ELT pattern - so teams can work with clean, up-to-date, and accessible data without depending on fragile manual steps.
🛠Common Scenarios#
- You’re manually moving or cleaning data on a regular basis
- Your current ETL jobs are slow, error-prone, or undocumented
- You’re juggling spreadsheets, APIs, and databases without a unified flow
- You want to standardize your data refresh across systems or teams
- You need a maintainable and transparent process that just works
📌 What I Focus On#
- Designing automation that fits the data’s shape and the team’s needs
- Using parameterization and modular structure for reusability
- Applying version control and logging for traceability
- Choosing ETL vs ELT intentionally based on performance and control
- Making sure workflows are easy to monitor, extend, and maintain
🚀 Outcomes You Can Expect#
- Faster and more reliable data updates
- Fewer manual handoffs or patch fixes
- Clear lineage and process ownership
- Automation that scales as your data ecosystem grows