Hey there 👋

I am Ross Carvalho

Software Engineer & Data Engineer

Experienced professional specializing in data engineering, cloud technologies and software development, with experience delivering end-to-end solutions for data platform, data warehousing and ETL pipelines. Designed and implemented cost-efficient, high-performance data platform architectures on AWS and GCP. Accomplishments include automating complex pipelines, optimizing SQL scripts, and developing custom ETL frameworks. Offers a unique blend of technical skills to drive innovation and mentorship within the software development, cloud computing and data engineering field.

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Experience at

Apple McKinsey & Co. FYND Quantiphi Pace University

Work Experience

Application Developer at McKinsey Investment Office (MIO Partners)

Sept 2025 — Present · New York, USA
  • Developed and enhanced the McKinsey Investment Office (MIO) Manager Portal using React, Django REST APIs, SQL Server, and AWS services, providing over 20 investment managers with real-time visibility into portfolios across a $23+ billion investment platform, improving data accessibility and operational efficiency by approximately 40%.
  • Collaborated with quant developers to integrate advanced investment calculators and analytical models into backend services, enabling portfolio managers to make more informed trade-offs across the multi-billion-dollar MIO portfolio.

Software Development Engineer (Intern) at Apple

Jun 2024 — Aug 2024 · Cupertino, USA
  • Migrated outdated software services to optimized alternatives, achieving a 40% improvement in performance efficiency.
  • Developed an End-to-End testing framework and comprehensive test suites for Kubernetes using the Go Ginkgo library, resulting in a 12x reduction in error reporting times and enhanced test coverage by 30%.
  • Transitioned static JSON configurations to configurations as code using Apple's open-source tool, PKL, reducing repetitive configuration tasks by 50% and integrating testing features for enhanced configuration validation.

Software Development Engineer - 1 at FYND (Shopsense Retail Technologies)

Jul 2022 — Aug 2023 · Mumbai, India
  • Designed and implemented architectural solutions for migrating NoSQL data sources (MongoDB) and relational databases (MySQL, PostgreSQL) to their respective data lakes and data warehouses, resulting in a 70% reduction in cloud costs.
  • Automated the creation of Platform resources and Data pipelines using Terraform and Python which reduced the deployment time by 90%.
  • Developed a Node.js microservice which is one of the core component that handles the analytics section of Fynd Platform.
  • Created end-to-end ML Ops Pipeline using Kubeflow Pipeline SDK on GCP Vertex AI which were utilized in ML model training and deployment.
  • Implemented a Python microservice using Sanic framework and Kserve client library which is used by Boltic team for ML model deployment.

Data Engineer at QUANTIPHI

Aug 2020 — Jun 2022 · Mumbai, India
  • Developed SCD1/SCD2 Facts and dimension SQL scripts for insurance data model which were further used by Analysts to populate Business KPI's.
  • Collaborated on the development and comprehensive testing of a custom Python ETL framework, delivering enhanced efficiency and scalability compared to IICS pipelines.
  • Automated unit testing by creating a python framework which reduced 50% of team's workload.
  • Played a key role in identifying and addressing critical issues during UAT for smooth production deployment.
  • Automated IICS pipelines monitoring using AWS Lambda and IICS API's which helped the support team to patch issues faster.
  • Mentored individuals and took sessions on data engineering, data modeling, cloud engineering and cloud certifications.

Framework Engineer Intern at QUANTIPHI

Jan 2020 — Aug 2020 · Mumbai, India
  • Trained as a Cloud Data Engineer equipped with skills on AWS, GCP, SQL, Python and Data Warehousing.
  • Engineered backend of a Python-based microservice, which assisted frontend service to communicate with core ML services, utilizing the Flask framework, Docker and GCP services.

On Campus Experience

Lab Coordinator Assistant — Computational Intelligence Lab, Pace University

Nov 2023 — Present · New York, USA
  • Redesigned and developed a reliable and scalable JupyterHub service on-premise, achieving 99.99% uptime. This scalable solution empowers researchers with seamless access to computational resources, boosting lab efficiency and productivity.
  • Proactively managed daily IT operations, ensuring optimal performance and inventory accuracy for all lab systems and components.

Education

Master's in Computer Science — Pace University

Sep 2023 — May 2025 · New York, USA
  • GPA : 4.0/4.0

Bachelor's in Computer Engineering — Mumbai University

Jul 2016 — Jun 2020 · Mumbai, India
  • GPA : 9.55/10

Skills

Languages

Python Java C JavaScript SQL Shell Scripting

Cloud & DevOps

AWS GCP Docker Terraform Kubernetes

Frameworks & Tools

React Django Flask Node.js Snowflake Git Jira Kubeflow