I will audit, design, and optimize your data pipeline
About this Gig
Struggling with messy data, unclear pipelines, or a data setup that's holding your product back? I bring real, hands-on data engineering experience to fix it.
I recently worked hands-on building a production-grade, real-time event-streaming and analytics pipeline including a distributed database cluster migration, event-ingestion architecture, and funnel/KPI analytics across multiple user journeys during a data engineering internship. I bring that real-world experience directly to your data audit and architecture needs.
What I bring:
Hands-on experience with ETL/ELT pipelines, event-streaming architecture, and distributed database systems
Clear, practical recommendations not just theory, but what you can actually act on
Honest, no-jargon communication I'll explain findings in plain language, not a wall of technical terms
What you get, depending on your package:
A clear audit of your current data setup, highlighting issues and quick wins
️ A visual architecture diagram mapping how your data should flow
️ Platform recommendations tailored to your needs and budget
️ Specific ETL pipeline design recommendations your dev team can act on immediately
Langugae:
English
Technical expertise:
Databricks
•
Snowflake
•
Amazon S3
Industry:
Other

