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Fiverr Pro
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I will develop data pipelines in pyspark
Turning data into actionable strategies through data solutions
Specializing in Business Intelligence and Strategic Marketing since 2007, I'm a Tech Lead in Analytics at Brazil's largest telecom operator and founding partner of Brainuke, a data consultancy. Global...
Vetted by Fiverr Pro
Lucas Rezende was selected by the Fiverr Pro team for their expertise.
Vetted for
Data Analytics
Data Processing
Data Visualization
About this Gig
Vetted Pro
I will help you design and architect efficient PySpark pipelines for data extraction, transformation, and loading (ETL).
With over 17 years of experience in data-driven projects, I provide consulting to understand your business needs and define a scalable and optimized solution.
I will:
- Analyze and document your requirements;
- Design the architecture of your PySpark ETL pipeline;
- Recommend best practices for performance and maintainability;
- Identify potential technical challenges and propose solutions.
Please note: The displayed price refers to the consulting phase including requirements gathering and pipeline architecture. The actual development and implementation may require additional costs depending on:
- Number of data sources;
- Complexity of data extraction (APIs, files, databases, etc.);
- Volume and logic of transformations;
- Storage and output requirements.
/// Feel free to message me before placing your order so we can align expectations.
/// Returning clients receive special benefits.
/// Lets build something great together.
Technology:
Apache Spark
•
Python
•
Other
My Portfolio
FAQ
What does the base price of this gig include?
The base price covers consultancy services, including requirements gathering, pipeline architecture design, and technical recommendations. It does not include the full development of the ETL pipeline, which may involve extra costs based on complexity.
Can you also develop the entire PySpark pipeline?
Yes! After the consulting phase, I can implement the full pipeline. The cost will depend on factors like the number of data sources, transformation complexity, and the data storage/output required.
What data sources can you work with?
I can work with various sources including relational databases (e.g. MySQL, PostgreSQL), cloud storage (e.g. S3, Azure Blob), APIs, CSV/JSON/Parquet files, and more. Let me know your case and I’ll evaluate the best approach.
Will you provide documentation of the pipeline design?
Absolutely. I deliver clear documentation covering architecture diagrams, decisions made, and recommended best practices to support future development and maintenance.
Can I contact you before placing an order to confirm if this service fits my project?
Yes — if you already have a defined need and are ready to move forward, feel free to reach out. I’m happy to align expectations and confirm the scope before we begin. Please note that this is a premium service aimed at serious, results-driven clients.
