Automate Marketing Metrics with Dynamic Python Data PipelineAutomate Marketing Metrics with Dynamic Python Data Pipeline
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
## Project Description
ConvAuto is an automated data pipeline built to handle marketing conversion metrics and analytics in real time. The goal of the project was to bridge backend logic with a cloud data warehouse, making it easy to crunch large volumes of lead data and monitor performance on the fly.
### What I Did:
Dynamic Query Building: Instead of using rigid, static queries, I built a Python-based engine that dynamically generates complex SQL CTEs (WITH ... AS statements). This allows the system to instantly filter and group data by specific dates, buyer IDs, or marketing channels.
Conversion Tracking: Wrote the core business logic to accurately calculate real-time conversion rates (CONV_RATE) and track funded leads. I also made sure it has solid error-handling to prevent issues like ZeroDivisionError when processing empty data sets.
Snowflake Integration: Integrated the pipeline with Snowflake using snowflake-connector-python to ensure fast read/write operations, even when running heavy queries against big datasets.
DevOps & Setup: Fully containerized the app with Docker and Docker Compose for easy local setup, and configured GitHub Actions for automated deployments.
### Tech Stack:
Core: Python, Advanced SQL
Data Warehouse: Snowflake
Infrastructure: Docker, Docker Compose, GitHub Actions
Post image
Back to feed
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started