Jorge Navarro

competent in

About

I'm Jorge and for the past decade the implementation of Data Engineering systems in a corporate environment has been my focus. More specifically, designing and optimizing scalable data pipelines using modern cloud technologies. Building ETL/ELT workflows, automating data transformations, and ensuring data reliability for analytics and AI-driven applications.

Data & Software Engineer

Data Engineer with Software Engineering proficiency.

  • Location: California, USA
  • Freelance: Available

Adept at full-stack development, cloud deployments (AWS, Azure, Kubernetes), and leveraging various DBMS (PostgreSQL, Snowflake, Oracle) to drive data health and empower data-driven decision-making. Completed Cloud DevOps Engineer and Data Engineering with AWS Nanodegrees from Udacity, complemented by Coursera's Machine Learning Specialization, strategically positioning for advanced roles in Artificial Intelligence, Machine Learning, and Robotics data infrastructure.

Resume

Technology evolves rapidly, is fast-paced and the innovation it drives requires collaboration with cross-functional teams to transform raw data into actionable insights. The critical roles I've filled in data engineering teams over the years, in turn, has left me confident in my abilities to overcome any challenge our digital world presents. Whether it's optimizing data ingestion, data transformations or automating workflows, my goal is to create efficient, reliable, and future-proof data solutions fueling data-driven decisions in any domain.

Summary

Jorge Navarro

Highly accomplished Senior Data Engineer with 10+ years of progressive experience in designing, developing, and optimizing scalable cloud-native data solutions and MLOps pipelines. Proven expertise in building robust data pipelines with Apache Airflow, FME, and Palantir Foundry, and leading observability strategies (Prometheus, Grafana, Loki, OpenTelemetry) that significantly improve system reliability and incident response.

Education

Master of Science in Computer Science

expected 2027

Georgia Institute of Technology, Atlanta GA

Specializing in computing systems

Bachelor of Science in Electrical Engineering

June 2011

California State Polytechnic University, Pomona, CA

Specializing in communication systems

Professional Experience

Professional Member of Technical Staff

AT&T Inc., CA

JUL 2023 — APR 2024

Focus: Observability Engineering & Incident Response for Critical Systems

  • Spearheaded the development and implementation of a comprehensive observability engineering strategy utilizing Grafana, OnCall, Prometheus, and Loki, with exploration into OpenTelemetry, significantly improving system reliability and reducing downtime.
  • Engineered an end-to-end incident response pipeline integrating Grafana alert rules, OnCall's alert groups, and escalation chains, leading to a quantifiable reduction in incident resolution time, improved system uptime, and faster stakeholder notification.
  • Administered and contributed to the core Grafana management codebase (Python, Flask), enhancing email notification functionality and streamlining administrative tasks within Kubernetes (AKS) deployments.
  • Designed and developed advanced, dynamic Grafana dashboards for data, application, and infrastructure monitoring, providing improved data visibility and actionable insights for 5+ teams, accelerating issue identification and response.
Core Technologies Utilized:
Grafana Prometheus Loki OpenTelemetry Flask

Professional-Software Engineer

AT&T Inc., CA

JUL 2019 — JUL 2023

Focus: Scalable Data Pipeline Engineering & Microservices Development

  • Engineered and optimized critical end-to-end data pipelines using Apache Airflow, Feature Manipulation Engine (FME), and Palantir's Foundry, ensuring data health and comprehensive observability for high-volume mobility transport data.
  • Developed multiple complex ETL pipelines with FME and managed a significantly sized ELT pipeline within Palantir's Foundry, resulting in improved data accuracy, reduced processing time, and robust support for numerous critical business operations.
  • Led the design and development of a standardized, deployable Flask-based ReST API template, addressing cross-cutting concerns (authentication, authorization, logging, OpenAPI Spec) and including Kubernetes (AKS) deployment artifacts.
  • Leveraged the API template to launch numerous scalable microservices supporting critical network elements (e.g., anti-spam, mobility switch orchestration) and internal tools, accelerating API development and deployment while enhancing service reliability.
  • Centralized API documentation through the deployment of a Swagger UI instance, improving developer experience and API discoverability.
Core Technologies Utilized:
Python Apache Airflow FME Palantir Foundry Docker Kubernetes

Professional-Network Planning Engineer+

AT&T Inc., CA

JUL 2017 — JUL 2019

Focus: Enterprise System Maintenance & Feature Development

  • Collaborated on the full software development lifecycle of the Engineering Rules Database (ERD), a legacy N-tier system (Ext JS GUI, Java business logic, Oracle DB), committing enhancements, fixes, and refactorings to improve stability and usability.
  • Implemented end-to-end CRUD functionality for network element capacity planners, directly supporting 15+ planners and streamlining hundreds of engineering rule updates, enhancing data consistency and availability.
Core Technologies Utilized:
Java JavaScript Oracle Apache Tomcat

Sr Specialist-Network Planning Engineer

AT&T Inc., CA

NOV 2013 — JUL 2017

Focus: Data-Driven Performance Reporting & Automation

  • Designed, developed, and implemented Key Performance Indicators (KPIs) and Key Capacity Indicators (KCIs) in utilization and performance reports using Logi Analytics, providing critical insights for proactive network adjustments and improved decision-making.
  • Identified and implemented mechanization opportunities, developing tools and an Engineering Rules Database (ERD) web service to automate repetitive tasks, resulting in a significant reduction in manual effort and improved data accuracy.
Core Technologies Utilized:
insightsoftware Report Portal Microsoft SQL Server PostgreSQL

Capacity Engineer

AT&T Inc., CA

JAN 2012 — NOV 2013

Focus: Network Capacity Management & AutoCAD Automation

  • Managed physical capacity for networks and network elements, including physical space utilization and heat dissipation analysis in AT&T central offices.
  • Contributed to C#-based automation solutions for AutoCAD, streamlining design workflows and increasing efficiency and consistency.
Core Technologies Utilized:
AutoCAD C# Microsoft Excel

Services

Highlighted below are a few skills refined through experience and collaboration.

Domain & Data Modeling

After requirements gathering and analysis, effective dimensional, relational, NoSQL data models are desigend and leveraged for consumption.

Data Pipeline Automation & Orchestration

Building data pipelines that schedule, monitor and manage data workflows end-to-end at scale.

Cloud & Infrastructure

Cloud-native architecture is designed and deployed using Infrastructure as Code (IaC) ensuring stable compute, storage and network resources.

Application Programming Interfaces (APIs)

Effectively build intermediate interfaces data and other compute systems use to communicate and collaborate. Utilizing the ReST API architecture to consume and for data, software, and compute solutions.

Microservices

By carefuly modeling domains, effectively create purposeful software services that enable clear separation by each focusing on distinct parts of the problem domain.

Consulting

Collaborate with stakeholders to design, build, and maintain infrastructure and systems needed to make data available and useful for analysis.

Testimonials

Jorge is very hard working, great at communication and easy to work with. He is also very technical and knows many programming languages.

Principal Member of Technical Staff

Jorge's technical ability and willingness to learn new skills is exceptional.

Director-Member of Tech Staff

Jorge is a great team player with strong software skills.

Principal Member of Technical Staff

Jorge is an extremely humble worker, often researching behind the scenes to find solutions.

Director-Member of Tech Staff

Jorge consistently explores new technologies and makes great contributions to the team.

Expert Member of Technical Staff 1

Contact

Let's connect!

Loading
Your message has been sent. Thank you!