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End-to-end data engineering project using Airflow, Spark, dbt, and GCS/BigQuery on Google Cloud Platform. Designed for easy reproducibility using GitHub Codespaces.
This project builds a fully automated, containerised data pipeline for ingesting and transforming multi-asset financial market data — with a focus on crypto prices. It was built to solve a real problem: taking raw market data delivered daily via an external API, making it reliable, queryable, and ready for analysis .
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
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Designed a sleek Crypto Trading Dashboard.
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Hi everyone! 👋
I’m a Backend & Data Engineer focused on building reliable backend systems, data pipelines, automation workflows, and reusable engineering components designed to solve real-world data problems.
Over the past few months, I’ve been developing several personal engineering projects around data quality, backend architecture, and workflow automation. Many of them started as small utilities for solving a specific problem and gradually evolved into reusable components as new requirements appeared.
I’m joining Contra not only to share my work but also to connect with other engineers, exchange ideas, and learn from the community. Over the coming weeks, I’ll be sharing some of these projects, the engineering decisions behind them, and the lessons I learned while building them.
If you’re a backend or data engineer and this post found you, I’d really appreciate it if you said hello in the comments. I’m just beginning my journey on Contra and would love to get to know the engineering community here. Looking forward to connecting, exchanging ideas, and learning from one another.
Thanks for reading!
Hello!
I'm not a backend engineer, but I know a thing or two and backend engineers are not common on Contra
The fastest way to waste money on automation is to automate a process nobody has clearly defined. Before choosing tools, write down five things: what starts the workflow, what information must exist at the start, which decisions follow fixed rules, which exceptions require a person, and what observable result proves success. If those answers are unclear, the first deliverable should be a process map—not an app, agent, or integration. I offer a fixed-price $99 AI Workflow Audit & Automation Blueprint for one bounded workflow: https://contra.com/s/oObLWbom-ai-workflow-audit-and-automation-blueprint?r=ck_bagman_8syekva5
