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Portrait of Andrew Espira

Honor Society® member

Andrew Espira

Research Software Engineer, Infrastructure at Eco Health Alliance

  • Data science
  • Class of 2026
  • New York

Member since October 2024

About

DevOps Engineer with over seven years of experience in software development, system engineering, and data engineering. Proficient in Python, Golang, Docker, Kubernetes, Terraform, AWS, and GCP. Specializes in designing scalable, cost-effective infrastructure solutions and integrating machine learning models. Proven track record in deploying large-scale distributed systems and optimizing data streaming pipelines. Passionate about continuous learning and driving innovative solutions that enhance system reliability and performance.

Education

  • saintpeters university, New Jersey

    Data science

    2024 – 2026

  • Jomo kenyetta university of Agriculture and Technology

    computer science

    2013 – 2018

Honors and awards

  • AWS Certified Solutions Architect – Associate

    Achieved certification in designing and deploying scalable, highly available, and fault-tolerant systems on AWS

  • AWS Certified Cloud Practitioner

    Demonstrated foundational knowledge of AWS services and cloud computing best practices.

  • HashiCorp Certified: Terraform Associate

    Certified in infrastructure as code, specializing in provisioning and managing infrastructure using Terraform.

Goals and interests

Career goal

I am aiming for roles that align with my expertise in DevOps, Data Engineering, Platform Engineering, and Site Reliability Engineering (SRE). I am particularly interested in opportunities where I can apply my skills in building scalable infrastructure, optimizing data pipelines, and automating cloud platforms. My career path includes positions such as DevOps Engineer, Data Platform Engineer, MLOps Engineer, and SRE, focusing on creating efficient, reliable, and high-performing systems in cloud-native environments

Graduate school interests

I am particularly interested in exploring the intersection of MLOps, data platforms, and large-scale distributed systems. My goal is to advance my understanding and practical application of Site Reliability Engineering (SRE) principles in data engineering and DevOps, with a specific focus on AIOps. Additionally, I aim to build expertise in designing and managing scalable, fault-tolerant data infrastructures that support machine learning operations (MLOps) at an enterprise level. My research interests also include leveraging DevOps and AI-driven automation to optimize performance, cost-efficiency, and reliability in data-centric systems.

Outside the classroom

Watching soccer (Favorite team: Arsenal)
Gaming
Working out

Experience

  • Research Software Engineer, Infrastructure

    Eco Health Alliance

    Feb 2023 – May 2024

  • Site Reliability Engineer

    Sportserve

    Feb 2022 – Nov 2024

  • DevOps Engineer

    ICIPE - International Centre of Insect Physiology and Ecology

    Aug 2019 – Feb 2022

Languages

  • English (UK) Advanced