Open to opportunities

Alberto Castro Fuentes

@albertocastrofuentes

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Software engineer with entrepreneurship experience and a mission-driven mindset.

Zimbabwe

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What I'm looking for

I am looking for a role in a mission-driven team where I can contribute to impactful projects and continue to grow my skills.

I am a dedicated software engineer with a strong background in entrepreneurship, currently pursuing my degree in Industrial Engineering at ITBA. My experience spans various roles, including technical lead and data engineer, where I have successfully contributed to mission-driven teams by building meaningful solutions. I thrive in dynamic environments, ensuring system reliability and optimizing workflows through innovative approaches.

At OpenKX, I co-founded an early-stage startup focused on AI-powered consultancy process automation, where I architected the core platform using Django Rest Framework and led a cross-functional product team. My role involved not only technical leadership but also managing stakeholder relationships effectively. I have a proven track record of designing and implementing data ecosystems that support automation and reporting needs, particularly in the fashion industry.

My journey has equipped me with a diverse skill set, including expertise in data pipelines, machine learning, and cloud services like AWS and Azure. I am passionate about leveraging technology to drive impactful solutions and am always eager to learn and grow within a collaborative team environment.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Docplanner

Jun 2023 - Present (2 years)

Contributed to transforming Docplanner Data Platform into a dynamic product-like platform. Utilized SQL for data modeling, standardization, and normalization across various databases, including PostgreSQL, MySQL, and Redshift. Created and maintained Data Pipelines in Airflow to streamline data ingestion from diverse sources into our Redshift Data Warehouse.

SQL Data Modeling PostgreSQL MySQL Redshift Data Pipelines Airflow

Current

Software Engineer

Current

CENTRIC8

Jun 2024 - Present (1 year)

Provides Software Product Lifecycle Management for the fashion industry. Designed and implemented data warehouse using Azure SQL databases and developed efficient data pipelines using Python and Azure Data Factory. Established best practices for ways of working and managed stakeholder relationships effectively.

Azure SQL Data Pipelines Python Azure Data Factory Refactoring

Technical Lead/Co-founder

OPENKX

Jan 2023 - Jun 2024 (1 year 5 months)

Architected the core platform using Django Rest Framework with a Test-Driven Development (TDD) approach. Led infrastructure setup on AWS, including account configuration, cost management, and service orchestration. Built and led a cross-functional product team to deliver the full platform from idea to execution.

Django REST Framework TDD AWS Cost Management Product Team

Data Analyst

MercadoLibre

Jan 2021 - Dec 2021 (11 months)

Contributed as a data expert in digital strategies, impacting 20% of transactional gross value for MercadoLibre. Automated pipelines using SQL queries in BigQuery to streamline data processing. Implemented Python automation for tasks such as URL migrations, ad creation, and optimization of poorly performing keywords.

Digital Strategy SQL BigQuery URL Migrations Google Optimize

Product Analyst

Docplanner

Jan 2022 - Jun 2023 (1 year 5 months)

Co-defined strategy and objectives with product lead through data analysis. Led research analytics team delivering actionable insights to inform roadmap and prioritization. Designed a recommendation engine using Airflow pipelines, Redshift and Flask.

Data Analysis Product Strategy Research Analytics Airflow Redshift Flask

Education

Degrees, certifications, and relevant coursework

ITBA

Industrial Engineer, Industrial Engineering

Completed a comprehensive program in Industrial Engineering. Focused on optimizing processes and systems within organizations.

ITBA

Data Science, Machine Learning & AI, Data Science, Machine Learning & AI

Completed over 400 hours of intensive study in Data Science, Machine Learning, and AI. Gained expertise in advanced analytical techniques and artificial intelligence applications.