You will get a secure Django finance apps for clearer visibility and faster action
Project details
I build practical, production-ready web apps that solve real operational problems, not just demo features.
This Personal Finance platform was designed for a real couple to manage shared and personal money in one place: income, expenses, savings, investments, and credit card debt, with monthly planning, bulk editing, smart month-to-month duplication, and live FX conversion to EUR for accurate cross-currency tracking. What sets me apart is combining strong product thinking with clean engineering: modular Django architecture, domain-organized templates, secure authentication, and deployment-ready configuration so the app is maintainable, scalable, and safe to use in real life.
This Personal Finance platform was designed for a real couple to manage shared and personal money in one place: income, expenses, savings, investments, and credit card debt, with monthly planning, bulk editing, smart month-to-month duplication, and live FX conversion to EUR for accurate cross-currency tracking. What sets me apart is combining strong product thinking with clean engineering: modular Django architecture, domain-organized templates, secure authentication, and deployment-ready configuration so the app is maintainable, scalable, and safe to use in real life.
Programming Languages
PythonWhat's included $300
These options are included with the project scope.
$300
- Delivery Time 10 days
- Number of Revisions 3
- Design Customization
- Content Upload
- Responsive Design
- Source Code
About Selene
Databricks Data Engineer | Python Spark ETL Pipelines
Valencia, Spain - 1:51 am local time
Experienced in developing end-to-end ETL and data processing workflows using PySpark, SQL, Databricks, Airflow, and Delta Lake, with a strong focus on reliability, performance optimization, and maintainability.
Core expertise includes:
• Distributed data processing with PySpark and Apache Spark
• ETL pipeline development and workflow orchestration
• Delta Lake, Unity Catalog, and data governance
• Data modeling, schema evolution, and incremental processing
• Data quality validation, testing, and pipeline reliability
• Performance optimization and production support
Platforms & Technologies:
• Databricks
• AWS (S3)
• Apache Spark, Airflow
• Delta Lake, Unity Catalog
• dbt, Snowflake
• Git, CI/CD workflows
In addition to production data engineering experience, I’ve built independent projects using modern analytics and AI stacks, including dbt, Snowflake, GCP, and retrieval-augmented generation (RAG) systems.
I enjoy building clean, scalable, and well-documented data systems that support analytics, BI, and downstream data applications.
Steps for completing your project
After purchasing the project, send requirements so Selene can start the project.
Delivery time starts when Selene receives requirements from you.
Selene works on your project following the steps below.
Revisions may occur after the delivery date.
Create the data model
Populate if applicable