Renato Perez
HomeProjectsAboutContact
Resume

Projects

Real-world data engineering solutions that solve business problems and deliver measurable impact. Each project demonstrates scalable architecture, modern data stack implementation, and business-first thinking.

Architecture Diagram

Shop Analytics

GitHubLive Demo

Enabled customer funnel and retention tracking for an e-commerce store, simulating a startup-grade analytics stack.

Impact: Improved understanding of drop-off points and customer lifetime value alignment

AirflowdbtDuckDBMetabaseDocker
View Project Details

Architecture Diagram

NYC Taxi Price Optimization

GitHubLive Demo

Built a streaming pipeline to optimize taxi fares in real time, reducing pricing gaps and improving revenue.

Impact: Reduced pricing gaps by 15% and improved revenue through dynamic fare optimization

KafkaSpark StreamingRedisPythonAzure
View Project Details

Architecture Diagram

Financial Data Lakehouse

GitHubLive Demo

Delivered enterprise-ready risk dashboards and anomaly detection using Databricks + Delta Lake.

Impact: Enabled real-time risk monitoring and reduced compliance reporting time by 60%

DatabricksDelta LakeSparkMLflowTableau
View Project Details

Architecture Diagram

Customer Segmentation ML Pipeline

GitHubLive Demo

Built an end-to-end ML pipeline for customer segmentation using behavioral data and purchase patterns.

Impact: Increased marketing campaign effectiveness by 40% through targeted customer segments

Scikit-learnAirflowPostgreSQLDockerFastAPI
View Project Details

Architecture Diagram

IoT Sensor Analytics Platform

GitHubLive Demo

Real-time processing of IoT sensor data for predictive maintenance in manufacturing environments.

Impact: Reduced equipment downtime by 25% through predictive maintenance insights

InfluxDBGrafanaPythonMQTTTimescaleDB
View Project Details

Architecture Diagram

Social Media Sentiment Pipeline

GitHubLive Demo

Batch and streaming pipeline for social media sentiment analysis to track brand perception in real-time.

Impact: Enabled proactive brand management with 95% sentiment classification accuracy

Apache BeamBigQueryNLPKubernetesGCP
View Project Details

Ready to Build Your Next Data Platform?

Let's discuss how I can help you build scalable data pipelines that deliver reliable insights and drive business impact.

Let's Talk Data
Renato Perez

Building batch and real-time data pipelines that deliver reliable data for analytics and machine learning. Transforming raw events into business-ready insights.

EmailLinkedInGitHub

Navigation

  • Home
  • Projects
  • About
  • Contact

Projects

  • Fake Shop Analytics
  • NYC Taxi Optimization
  • Financial Data Lakehouse

© 2025 Renato Perez Portfolio. All rights reserved.