End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.

This is a template you can use for your next data engineering portfolio project.

My current data engineering portfolio. Includes projects spanning ETL, orchestration and dashboarding.

🚀 Advanced Data & AI Engineering Portfolio: Real-world projects and production-ready patterns to level up your AI skills—from building clean data pipelines to deploying RAG systems, AI agents, and intelligent dashboards.

Built a practical Multi-Factor Backtesting Framework from scratch based on Huatai Security's(One of China's largest sell side) financial engineering report. Steps include factor data collection and preprocessing, factor combination, portfolio optimization and risk return analysis.

Cool DE Projects

Portfolio of projects and studies conducted in data engineering.

Data Engineering, Data Warehouse, Data Mart, Cloud Data, AWS, SAS, Redshift, S3

Data Engineering portfolio projects, resources used to study data tools...

Jordan Cheah's Data Science & Data Engineering Portfolio

My Portfolio of all the projects I did for both my Udacity Data Engineer and Data Streaming Nanodegrees

Repository containing example solutions for the Data Engineering Career Path Portfolio Projects

A comprehensive collection of 180 curated project ideas across 6 technology domains (Backend, Frontend, Data Science, Data Engineering, DevOps, System Design) at 3 difficulty levels. Detailed learning guides help developers master new technologies and build portfolio-ready skills from scratch through hands-on practice.

I'm learning how to build data pipelines to work with large datasets. (:

A production-grade financial simulation backend built in Go using clean architecture. It supports user authentication, portfolio and transaction management, expense tracking, real-time market data integration, Redis caching, and PostgreSQL persistence, designed for scalability, reliability, and real-world backend engineering practices.

Official Professional Portfolio & Engineering Showcase. A centralized platform featuring my career trajectory as a Software Engineer, showcasing expertise in backend systems, system integrations, and resilient data pipelines. Designed with modern web standards and high-performance architecture.

Explore my SQL Data Engineering portfolio. See how I use SQL to organize data and create smart solutions for better insights and smoother processes.

Welcome! This portfolio highlights my projects in software development, data engineering, analytics, and AI/ML. Feel free to explore, connect, or collaborate!

Python-based financial engineering project that utilizes real-time data from the S&P 500 index to construct a strategic asset allocation model for portfolio optimization.

David Aplin Group, one of Canada's Best Managed Companies, has partnered with our client to recruit Junior Software Developers. New graduates or soon-to-graduate students are encouraged to apply! Our client is looking for Junior Software Developers to join their growing team. This position is responsible for the development, evaluation, implementation, and maintenance of new software solutions, including maintenance and development of existing applications. Applications involve data collection, data storage, machine learning, and data visualization. The Role: Designing, coding, and debugging software applications using front-end frameworks and enterprise applications - front-end, back-end, and full-stack development. Performing software analysis, code analysis, requirements analysis, software reviews, identification of code metrics, system risk analysis, software reliability analysis. Providing assistance with installations, system configuration, and third-party system integrations. Providing team members and clients with support and guidance. The Ideal Candidate: A Bachelor's degree or Diploma in Computer Science, Computer Engineering, Information Technology, or a similar field. Experience working with coding languages C#, JavaScript, Angular, React, Python, PHP jQuery, JSON, and Ajax. Solid understanding of web design and development principles. Good planning, analytical, and decision-making skills. A portfolio of web design, applications, and projects you have worked on including projects published on GitHub. Critical-thinking skills. In-depth knowledge of software prototyping and UX design tools. High personal code/development standards (peer testing, unit testing, documentation, etc). Team spirit and a sense of humour are always great. Goal-orientated and deadline-driven. COVID-19 considerations: All employees are currently working from home. Any equipment or materials required for work will be provided by the company via shipment to the employee's home. Company policy will continue to evolve through the COVID-19 pandemic and implement alternative working arrangements to ensure that all our people stay safe. If you are interested in this position and meet the above criteria, please send your resume in confidence directly to Jim Juacalla or Ron Cantiveros at Aplin Information Technology, A Division of David Aplin Group. We thank all applicants; however, only those selected for an interview will be contacted. Apply: https://jobs.aplin.com/job/409253/Junior-Software-Developers-New-Graduates

Data Engineering Portfolio

No description available

Personal Data Engineering Portfolio of Me. A high-performance, responsive site built to showcase data architecture, technical projects, and engineering skills. Powered by Jekyll & Custom SCSS.

My E-portfolio code repository. I have used I-Portfolio template to develop a github pages static website to showcase my work in data engineering, analytics and science

QuantifiLib is a modular Python library for event-driven strategy research, developed by Quantifi Sogang. It supports data loading, signal engineering, backtesting, portfolio optimization, time series modeling, and causal inference for systematic finance.

Personal portfolio website showcasing my projects in Data Science, ML, AI, and Engineering.

A Dockerized data system for storing environmental sensor data in batches using MongoDB, designed for IU's Data Engineering portfolio (DLBDSEDE02).

Personal project for displaying USGS Earthquake data. Also used as a portfolio piece to demonstrate engineering practices.

This portfolio showcases two data science projects: predicting manufacturing team efficiency using operational data, and predicting e-commerce conversion rates using web session data. Includes data cleaning, feature engineering, model selection, and evaluation.

The U.S. Medical Insurance Portfolio Project that is part of the ML/AI Engineering Foundations and Data Science skill paths on codecademy.