Alex Sanchez

Summary

Software Engineer with experience in cloud-native development, data engineering, and IT infrastructure management. Proven ability to design and deploy scalable solutions using AWS, Kubernetes.

Education

Bachelor Network Security

Columbia Central University

Caguas, PR

Sep 2016 - Dec 2021

Skills

Programming Languages

PythonJavaC++Typescript/Js

Cloud & DevOps

AWS (EC2/S3/ELB)KubernetesECKDockerJenkinsCI/CD

Data Engineering

PySparkETLElastic KibanaSplunkGrafana

Tools & Practices

GitNetwork SecurityAgileSystem TestingData Transformation

Experience

Software Engineer & IT Manager
Alan's Fishing Shop | Caguas, PR
Apr 2024 – Present
  • Designed and deployed a cloud-native inventory management system using AWS RDS (PostgreSQL) and Lambda, improving reorder efficiency for 500+ SKUs.
  • Developed a responsive Next.js UI with React/TypeScript, integrating real-time inventory interaction and sales analytics.
  • Managed IT infrastructure: Migration of legacy POS systems to cloud-based solutions, implementation of network security protocols.
Software Engineer
Optum | Minneapolis, MN
May 2022 – Oct 2023
  • Developed Kubernetes-driven system upgrades for healthcare fraud detection platforms, improving service reliability and reducing deployment failures via CI/CD automation.
  • Engineered PySpark ETL pipelines that reduced collision record errors through de-duplication and data validation strategies.
  • Integrated 6 external data sources into department's clusters, expanding real-time fraud detection capabilities.
IT Help Desk Technician
Best Option Healthcare | San Juan, PR
Jun 2021 – May 2022
  • Resolved Tier 1 network/server issues for 200+ users.
  • Streamlined user on boarding processes by automating account provisioning workflows, significantly cutting setup time.

Notable Projects

PyTPR (Python Threat Research Tool)
Security Tool Developer | Python, Socket Programming, Encryption | GitHub
Jan 2023 – May-2023
  • Developed an open-source educational reverse engineering toolkit to demonstrate advanced threat actor techniques like payload obfuscation, process injection, and C2 communication.
  • Designed modular Python architecture simulating Meterpreter-style attacks, including AES-encrypted TCP channels and staged payload delivery for red team training.
  • Integrated key-logging, screen capture, and privilege escalation modules to teach defensive strategies for detecting real-world APT behaviors.
Fraud Prevention Data Pipeline
Data Engineer | Kubernetes, PySpark | Optum | Minneapolis, MN
Jun 2022 – Nov 2022
  • Engineered a scalable ready for ingestion data cleaning framework processing 2M+ daily records using PySpark.
  • Automated data validation workflows that eliminated invalid/duplicate records, improving fraud detection accuracy for 500K+ daily transactions.
  • Deployed monitoring dashboards in Grafana/Splunk, achieving SLA compliance for real-time data pipelines.