Data Engineer specialized in turning data into actionable solutions. I design and build ETL pipelines in Python/SQL, develop APIs with FastAPI and Flask, and optimize performance using parallel computing and automation in Docker/Linux.
My work spans from web scraping and data cleaning to interactive visualization and cloud deployment.
- Data ingestion & processing: web scraping, JSON/CSV/XML parsing, data normalization.
- Optimization: multiprocessing, threading, reducing ETL execution times.
- APIs & microservices: design and integration with front-end and existing systems.
- Visualization: dashboards and interactive charts with D3.js and Python libraries.
- Automation: Selenium, Bash scripting, reproducible deployments with Docker.
Python, SQL, Pandas, FastAPI, Flask, Multiprocessing, Git, Linux, Docker, JavaScript/HTML, D3.js, Selenium, PostgreSQL.
- Parallel frequent itemset mining: market basket analysis with parallel computing and speedup visualization.
Repository - D3.js interactive report: 5 linked visualizations for data analysis.
Repository · Live Demo - Mercado Libre scraper: structured product extraction with Python + JSON output.
Repository - Algorithms implementation: maximum subarray sum (Kadane) and other classic problems.
Repository
- LinkedIn: Emmanuel Carmona Altamirano
- Email: carmonaemmanuel559@gmail.com
Open to opportunities as a Data Engineer in projects involving large-scale data ingestion, processing, optimization, and visualization.