You will get a scalable and reliable data pipeline (ETL) using Python, Azure or AWS

Let a pro handle the details

Buy Other Databases services from Alejandro, priced and ready to go.

Let a pro handle the details

Buy Other Databases services from Alejandro, priced and ready to go.

Project details

You will get a reliable and scalable data pipeline that transforms your raw data into clean, structured, and ready-to-use information.

With experience in banking and telecommunications, I specialize in building, fixing, and optimizing ETL pipelines in cloud environments like Azure and AWS. I understand how critical data quality, performance, and reliability are for decision-making.

What sets me apart:
āœ” I focus on production-ready solutions, not just quick fixes
āœ” I ensure data quality, consistency, and validation
āœ” I design scalable architectures that grow with your business
āœ” I communicate clearly and deliver on time

Whether you need to fix a broken pipeline, migrate your data to the cloud, or build a new solution from scratch, I will help you turn your data into a reliable asset.

The solution you receive will be clean, efficient, and tailored to your needs šŸš€
Database Type
MySQL, Oracle, PostgreSQL, MongoDB
What's included
Service Tiers Starter
$30
Standard
$100
Advanced
$180
Delivery Time 2 days 4 days 7 days
Number of Revisions
123
Source Code
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $100
Additional Revision
+$100

Frequently asked questions

Alejandro L.Status: Offline
Alejandro L.Status: Offline
Data Engineer | ETL Pipelines | Azure, Databricks, SQL, PySpark
Lima, PeruĀ - 6:04 pm local time
I help companies build, optimize, and fix data pipelines so they can trust their data and make better decisions.

I’m a Data Engineer with experience in banking and telecommunications, working on large-scale data environments using Azure, Databricks, SQL, and PySpark.

Here’s how I can help you:
āœ” Build scalable ETL/ELT pipelines from scratch
āœ” Fix broken or slow data pipelines
āœ” Improve data quality (validation, consistency, reliability)
āœ” Design data models for analytics and BI
āœ” Optimize queries and reduce processing time

In my previous roles, I have:
• Built data pipelines processing millions of records daily
• Detected and fixed critical data quality issues in production systems
• Developed analytical models used for strategic decision-making
• Automated data workflows to improve efficiency and reliability

Tech stack:
Azure (Data Factory, Data Lake), Databricks, PySpark, SQL, Airflow, Python, Power BI

I focus on delivering reliable, scalable, and production-ready solutions.

Let’s work together to turn your data into a real asset šŸš€

Steps for completing your project

After purchasing the project, send requirements so Alejandro can start the project.

Delivery time starts when Alejandro receives requirements from you.

Alejandro works on your project following the steps below.

Revisions may occur after the delivery date.

Project details and data source

Please describe your use case, data sources, current setup, and main issue or goal

Review the work, release payment, and leave feedback to Alejandro.