Data Engineering Support Needed
Budget: $10 – $30 USD
I’m putting together a small data project and need an experienced data engineer to jump in and guide the technical work from start to finish. The scope is still flexible—think data cleaning, integration, or even a full-blown migration—so I’m looking for someone comfortable shaping requirements as we go.
At this point the data could come from a mix of databases, APIs, or simple CSV files. Once we confirm the sources, I’ll rely on you to recommend (and implement) the best architecture for ingesting, transforming, and validating the information so it’s ready for downstream analytics.
Key expectations
• Assess the current data landscape and help finalise the roadmap
• Build or refine robust pipelines (Python, SQL, Spark, or comparable tools)
• Document your approach clearly so hand-offs are frictionless
• Advise on monitoring and quality checks that keep the data trustworthy
If you’ve set up ETL/ELT workflows before and enjoy collaborating to firm up open-ended requirements, let’s talk.
At this point the data could come from a mix of databases, APIs, or simple CSV files. Once we confirm the sources, I’ll rely on you to recommend (and implement) the best architecture for ingesting, transforming, and validating the information so it’s ready for downstream analytics.
Key expectations
• Assess the current data landscape and help finalise the roadmap
• Build or refine robust pipelines (Python, SQL, Spark, or comparable tools)
• Document your approach clearly so hand-offs are frictionless
• Advise on monitoring and quality checks that keep the data trustworthy
If you’ve set up ETL/ELT workflows before and enjoy collaborating to firm up open-ended requirements, let’s talk.
Related categories:
Python
Data Processing
Big Data Sales
Hadoop
QlikView
Data Integration
Data Architecture
ETL
PySpark