You will get a scalable ETL pipeline built with Python and PySpark for data processing
Project details
I will help you build reliable and scalable ETL data pipelines to process and transform your data efficiently. I am a Data Engineer with experience in Python, PySpark, SQL, Azure services, and Palantir Foundry.
My focus is on building clean, optimized, and production-ready data workflows that allow businesses to process large datasets and prepare data for analytics and reporting.
With this project, I can help you design and implement data pipelines for data ingestion, transformation, and processing. Whether you need to clean datasets, automate data workflows, or build ETL pipelines for analytics, I can provide a structured and efficient solution.
Services included:
• ETL pipeline development using Python or PySpark
• Data ingestion from CSV files, APIs, or databases
• Data transformation and cleaning
• SQL data processing and optimization
• Preparing datasets for analytics and reporting
I focus on delivering high-quality solutions, clear communication, and reliable results that support your data engineering needs.
My focus is on building clean, optimized, and production-ready data workflows that allow businesses to process large datasets and prepare data for analytics and reporting.
With this project, I can help you design and implement data pipelines for data ingestion, transformation, and processing. Whether you need to clean datasets, automate data workflows, or build ETL pipelines for analytics, I can provide a structured and efficient solution.
Services included:
• ETL pipeline development using Python or PySpark
• Data ingestion from CSV files, APIs, or databases
• Data transformation and cleaning
• SQL data processing and optimization
• Preparing datasets for analytics and reporting
I focus on delivering high-quality solutions, clear communication, and reliable results that support your data engineering needs.
Data Tool
SQLWhat's included
| Service Tiers |
Starter
$20
|
Standard
$40
|
Advanced
$90
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Pages Mined/Scraped | 5 | 10 | 20 |
Number of Sources Mined/Scraped | 1 | 2 | 3 |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $40Frequently asked questions
About Saikumar
Data Engineer | Python | PySpark | Big Data | Azure | Palantir Foundry
Dharmavaram, India - 4:09 pm local time
My experience includes developing data ingestion pipelines, processing large datasets, and preparing structured data for analytics and reporting. I focus on building efficient and optimized data workflows that help organizations make better data-driven decisions.
Key Skills:
• Data Engineering
• ETL Pipeline Development
• Python & PySpark
• SQL Data Processing
• Azure Data Factory
• Azure Data Lake
• Palantir Foundry
• Data Transformation & Data Processing
I am committed to delivering reliable, scalable, and high-quality data engineering solutions.
Steps for completing your project
After purchasing the project, send requirements so Saikumar can start the project.
Delivery time starts when Saikumar receives requirements from you.
Saikumar works on your project following the steps below.
Revisions may occur after the delivery date.
Understand project requirements
Review the dataset, data source, and pipeline requirements to design the appropriate ETL workflow.
Develop ETL pipeline
Build the data pipeline using Python, PySpark, or SQL to ingest and transform the data.