I will build automated etl pipelines using python and sql
About this Gig
Stop wasting hours on manual data work. Lets automate your business growth!
Are you struggling with scattered data, messy spreadsheets, or revenue leakage? I am a Data Specialist with over 3 years of experience in Revenue Assurance for global telecom companies. I build robust ETL pipelines that turn raw data into clean, actionable intelligence.
What I can do for you:
- Data Reconciliation: Crossing datasets (e.g., Sales vs. Payments) to identify financial gaps and discrepancies.
- Automated ETL Pipelines: End-to-end automation using Python (Pandas) and SQL (BigQuery/Oracle).
- Data Cleaning: Professional handling of nulls, duplicates, and inconsistent formats in massive datasets.
- API Integration: Extracting and centralizing data from REST APIs (JSON/XML).
Why choose me?
- Enterprise Experience: I manage national-level data governance at TIM Brasil.
- Scalability: Solutions designed to handle millions of rows efficiently.
- Clean Code: Professional scripts with proper documentation and error handling.
I am committed to providing high-quality, reliable, and automated data solutions. Please contact me before placing an order to discuss your specific requirements!
Tools & Platforms:
Other
FAQ
Q: Which tools do you use for ETL?
A: I primarily use Python (Pandas/Requests) and SQL (BigQuery, Oracle, SQL Server). I also work with Alteryx and Azure Data Factory depending on your infrastructure.
Q: Can you handle large volumes of data?
A: Yes! I have extensive experience managing national-level datasets and optimizing queries in cloud environments like BigQuery to ensure high performance.
Q: Will you provide the source code?
A: Absolutely. Depending on the package chosen, I will provide the Python scripts or SQL queries so you can run the automation internally.

