César Núñez.
I build data-driven web applications for public impact.
Data engineer and web developer designing scalable systems that turn public data into usable, transparent tools.
Hi, my name is
About Me
I’m a data engineer and web developer with a background in economics and public policy. I build data-driven web applications that turn messy, real-world data into reliable systems and usable tools. My work focuses on designing scalable ETL pipelines, APIs, and dashboards using modern data and web technologies, often in public-sector and civic-tech contexts where data quality, transparency, and real-world constraints matter.
I am currently working on OpenPerú, a civic-tech platform that uses unstructured public legislative data to make voting records, bills, and party dynamics more transparent and accessible.
Here are some technologies I’ve been working with recently:- Python
- SQL
- FastAPI / Flask
- Docker
- GitHub Actions
- AWS (S3, Lambda)
Projects
Webscraping
SQL
Pydantic
Open Perú
Building a platform to track voting records, bills, and party dynamics using publicly available data from Congress and regional governments in Peru to improve political accountability.
Webscraping
Docker
Pydantic
Odisha’s Grievance Redressal System
Built an asynchronous ETL pipeline for Odisha’s Janasunani grievance redressal system, automating ingestion and validation of 1M+ citizen complaints.
Machine Learning
Geospatial analysis
Data Visualization
Poverty Prediction using Satellital Imagery
Using machine learning and satellite data to classify households by poverty status and improve scalable poverty measurement.
Webscraping
Docker
Pydantic
Odisha’s Grievance Redressal System
Built an asynchronous ETL pipeline for Odisha’s Janasunani grievance redressal system, automating ingestion and validation of 1M+ citizen complaints.
Machine Learning
Geospatial analysis
Data Visualization
Poverty Prediction using Satellital Imagery
Using machine learning and satellite data to classify households by poverty status and improve scalable poverty measurement.
Cloud Computing
AWS Services
Javascript
Genomics Annotation Service
Cloud-native web application developed as part of a graduate course, built on AWS using Flask, RESTful APIs, and asynchronous messaging to support scalable file processing, microservice decoupling, and tiered user access.
Machine Learning
Geospatial analysis
Data Visualization
Poverty Prediction using Satellital Imagery
Using machine learning and satellite data to classify households by poverty status and improve scalable poverty measurement.
Cloud Computing
AWS Services
Javascript
Genomics Annotation Service
Cloud-native web application developed as part of a graduate course, built on AWS using Flask, RESTful APIs, and asynchronous messaging to support scalable file processing, microservice decoupling, and tiered user access.
Data Visualization
Webscraping
Chicago Crime and Education Dashboard
Developed an interactive map that visualizes the relationship between crime rates and educational attainment/dropout in Chicago. It uses Python with libraries like Dash and Altair.
Cloud Computing
AWS Services
Javascript
Genomics Annotation Service
Cloud-native web application developed as part of a graduate course, built on AWS using Flask, RESTful APIs, and asynchronous messaging to support scalable file processing, microservice decoupling, and tiered user access.
Data Visualization
Webscraping
Chicago Crime and Education Dashboard
Developed an interactive map that visualizes the relationship between crime rates and educational attainment/dropout in Chicago. It uses Python with libraries like Dash and Altair.
Data Visualization
Webscraping
Shiny-App
Housing Deficit Dashboard
Created a dynamic, spatially interactive dashboard to visualize housing deficit indicators at the district level in Peru using census data.
Data Visualization
Webscraping
Chicago Crime and Education Dashboard
Developed an interactive map that visualizes the relationship between crime rates and educational attainment/dropout in Chicago. It uses Python with libraries like Dash and Altair.
Data Visualization
Webscraping
Shiny-App
Housing Deficit Dashboard
Created a dynamic, spatially interactive dashboard to visualize housing deficit indicators at the district level in Peru using census data.
Webscraping
SQL
Pydantic
Open Perú
Building a platform to track voting records, bills, and party dynamics using publicly available data from Congress and regional governments in Peru to improve political accountability.
Data Visualization
Webscraping
Shiny-App
Housing Deficit Dashboard
Created a dynamic, spatially interactive dashboard to visualize housing deficit indicators at the district level in Peru using census data.
Webscraping
SQL
Pydantic
Open Perú
Building a platform to track voting records, bills, and party dynamics using publicly available data from Congress and regional governments in Peru to improve political accountability.
Webscraping
Docker
Pydantic
Odisha’s Grievance Redressal System
Built an asynchronous ETL pipeline for Odisha’s Janasunani grievance redressal system, automating ingestion and validation of 1M+ citizen complaints.
Experience
Data Engineer Intern
Data, Policy and Innovation Centre (DPIC)
· Odisha, India
Built an asynchronous ETL pipeline for Odisha’s Janasunani grievance redressal system, automating ingestion and validation of 1M+ citizen complaints.
- Cut extraction time by 75% with an asyncio + httpx orchestrator.
- Improved data quality with typed validation and SQLAlchemy models.
Tech Stack
+
Python
asyncio
httpx
Pydantic
SQLAlchemy
Docker
Senior Analyst
Videnza Consultores
· Lima, Perú
Led data driven policy projects across public sector modernization, program evaluation, and national statistics products.
- Led the design of Peru’s Urban Poverty Reduction Strategy, conducting a systematic review of 50+ studies and a PCA on 500K+ household records in Python and R.
- Led the implementation of the Bicentennial Observatory, a repository of 100+ socioeconomic indicators built from census and administrative data using Python, R, and STATA.
- Built automated data extraction workflows and dashboards to improve access to evidence for decision makers.
Analyst
Peruvian Private Competitiveness Council (CPC)
· Lima, Perú
Produced data products and policy analysis to benchmark public management performance across Peru’s 25 regions.
- Led annual updates of the Regional Public Management Index, analyzing survey and administrative data in STATA to compute 17 governance KPIs.
- Developed evidence based policy proposals on infrastructure regulation and housing subsidies to strengthen public private collaboration.
Project Assistant
AC Pública (APOYO Consultoría)
· Lima, Perú
Supported national policy design and infrastructure planning through research, modeling, and quantitative analysis.
- Contributed to the development of the National Agrarian Innovation Policy and Plan through data analysis and research synthesis.
- Revised demand and supply estimates for 12 regional airport master development plans using econometric modeling.
Education
Sep 2024 - Jun 2026