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Data Pipeline Design

Table of Contents

🧩 What This Covers
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I design pipelines that move data from source to insight - cleanly, reliably, and with minimal manual overhead. Whether it’s APIs, spreadsheets, databases, or cloud platforms, I focus on shaping pipelines that serve real business logic, not just move bits around.

πŸ›  Common Scenarios
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  • You need a pipeline to pull and clean data from multiple APIs or flat files
  • You’re manually wrangling Excel sheets that could be automated
  • Your reporting system depends on fragile data refreshes
  • You want to standardize how raw data is collected, validated, and shaped
  • You’re integrating siloed systems and need a consistent data flow

πŸ“Œ What I Focus On
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  • Making pipelines maintainable, modular, and traceable
  • Aligning data movement with real reporting or analytical needs
  • Automating away repetition and fragile manual steps
  • Designing flows that are version-controlled and portable
  • Minimizing complexity while preserving flexibility

πŸš€ Outcomes You Can Expect
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  • Fewer manual tasks and failure points in your data workflows
  • Consistent, validated inputs to your models and dashboards
  • Scalable processes that can grow with your team or business
  • Clear visibility into where your data comes from and how it’s handled