You will get data loaded and transformed


Project details
I specialize in designing and running end-to-end ETL (Extract, Transform, Load) processes that turn raw data into accurate, structured, and business-ready information. With hands-on experience in SQL, automation, and cloud platforms, I ensure data pipelines run efficiently, securely, and with zero downtime.
What sets me apart is my ability to combine technical expertise with a business-focused mindset
Whether it’s loading large datasets, cleaning messy information, or transforming it into insightful formats, I deliver fast, reliable, and scalable solutions that support decision-making.
What sets me apart is my ability to combine technical expertise with a business-focused mindset
Whether it’s loading large datasets, cleaning messy information, or transforming it into insightful formats, I deliver fast, reliable, and scalable solutions that support decision-making.
Data Entry Type
Data CleansingData Entry Tool
CRM Software, ERP Software, Google Sheets, Microsoft ExcelWhat's included
| Service Tiers |
Starter
$100
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 1 day | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Hours of Work | 10 | 20 | 40 |
Formatting & Clean Up | - | - | |
Graph & Table Creation | - | - | - |
About Luis
IT Operations manager
Buenos Aires, Argentina - 5:24 am local time
My expertise spans infrastructure, cloud services, database management, and SAP support.
I have a proven track record in stabilizing accounts, mitigating risks, and improving operational performance.
I am particularly skilled in service delivery management, process improvement, project leadership, and team development.
Steps for completing your project
After purchasing the project, send requirements so Luis can start the project.
Delivery time starts when Luis receives requirements from you.
Luis works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement gathering and execution
Review data sources. Confirm scope and expected outputs. Connect to source systems. Data Cleaning & Transformation. Apply business rules. Validate data accuracy and integrity. Ensure outputs match requirements.
Deliver solution
Provide transformed dataset in requested format (DB script, CSV, etc.). Deliver documentation and pipeline run instructions.