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Fiverr Pro
English
$
USD
I will build financial apis, etl pipelines and python automation
Data Analyst , Financial Analyst, Financial Engineer
Financial Analyst & Data Analyst | 5+ Years of Experience
Data is a liability until it’s analysed, but it’s an asset when it’s modeled. I specialize in turning raw data into investor-ready financial...
About this Gig
Need to automate financial data, connect APIs, or build a reliable data pipeline?
I help businesses, startups, and finance professionals build Python-based FinTech solutions for financial data processing, API integration, ETL, automation, and reporting.
What I can do best:
- Financial API integrations
- Python data pipelines and ETL workflows
- Financial data extraction and transformation
- Automated reporting and data processing
- CSV, Excel, JSON and database integrations
- SQL-based financial data workflows
- Webhooks and REST API integrations
- Financial analytics automation
- Custom Python scripts for repetitive tasks
- Streamlit financial applications
Stack:
Python | Pandas | Apache Airflow | SQL | REST APIs | JSON | Excel | PostgreSQL | MySQL | Streamlit
Please message me before ordering so I can understand your requirements and recommend the right package.
My Portfolio
FAQ
What type of financial APIs can you integrate?
I can integrate REST APIs and other data APIs for financial, market, banking, business, and third-party data sources, depending on the API documentation and access provided.
Can you build a complete ETL pipeline?
Yes. I can extract data from APIs, CSV, Excel, databases, or other supported sources, transform it with Python, and load it into your target database or application.
Can you automate my existing Excel or financial workflow?
Yes. I can convert repetitive manual processes into Python-based automated workflows.
Can you connect an API to a database?
Yes. I can build workflows that retrieve API data, clean and transform it, and store it in databases such as PostgreSQL or MySQL.
Can you work with existing Python code?
Yes. I can modify, integrate, debug, or extend an existing Python project.
