Alejandro Rusi Data Engineer

Lead Data Engineer

Muttdata

Mar 2024 - Current (2 years 3 months)

• In charge of discovery and Sales Engineering tasks for new Data Engineering projects, evaluating the current data architecture and proposing new solutions to solve their pain points. • Led a team of engineers to migrate legacy orchestrators (for example: Control-M, Matillion) into Apache Airflow and Astronomer platforms. Applied best practices for modern data platforms during migration applying dbt using Cosmos. Over 300 DAGs migrated and re-designed per month. • Development of an internal library to speed up legacy orchestrator migrations, speeding up 6 month migrations into 1 month projects. • Diagnosis of client data infrastructure and pipelines, building complete data platform and infrastructure diagnosis, recommending best practices

People & Knowledge Lead

Mutt Data

Jun 2021 - Apr 2024 (2 years 11 months)

• In charge of Onboarding new employees into the company, helping people from different backgrounds learn git, Apache Airflow and SQL. Over 100 employees onboarded during my tenure. • As Knowledge Lead I built the company Handbook, used by the whole company for both technical and cultural resources. Designed learning paths for Data Engineers, Machine Learning Engineers and Data Scientists. • Acted as the interim People Lead, organizing company retreats and planning the company budget. • Built an internal database using RDS for the company’s data, ingesting and modeling data from Hubspot, Bamboo, and internal operation processes. This data currently fuels automations and business Dashboards.

Teaching Assistant

Facultad de Ciencias Exactas y Naturales UBA

Mar 2020 - Aug 2021 (1 year 6 months)

Data Engineer

Mutt Data

Jan 2020 - Jun 2021 (1 year 6 months)

• Implemented a food order preparation time forecaster, using Python, XGBoost and Airflow. It updated its predictions on an hourly basis, allowing for 25% more orders to be accepted by the platform. • Wrote various blog posts about Machine Learning and Data Science topics such as A/B Testing 101, Improving the Three-Sided Marketplace with Machine Learning and Data Engineering Fundamentals.

Software Engineer

Mercado Libre

Aug 2017 - Sep 2018 (1 year 2 months)

During my time at Mercadolibre I was part of two teams; one in charge of creating and maintaining a Big Data platform for usage within the company and the other in optimizing the predictions of dimensions of any of the packages of products sold on the website. My main accomplishments were: • Designing with the rest of the team a new dimension prediction model, and successfully analyzing its impact. • Allowing our package dimension predictions to be consumed by APIs, which were then used for a more precise pricing in costs of delivery in all of Latin America. • Migrated an AB Testing framework from the company’s internal cloud to AWS, having 0 downtime after migration and updated it to allow alarms to inform teams of the current state of the

Software Developer

Despegar

Feb 2016 - Aug 2017 (1 year 7 months)

I was part of the Personalization team, where our goal was to customize customers experience and provide a proper infrastructure for Big Data insights for the company. I was in charge of creating a new metrics application made from the ground up, which was used by both analysts and developers to obtain useful insights from the company’s data. The main goal of this project was to show various metrics in real time and allow users to query and visualize data. To solve this problem, I learned to create and maintain an Elasticsearch cluster, which was then constantly updated from an event stream. After having this cluster with real time data, I created a frontend made in Angular2 and Google Charts where users could visualize metrics and a backe

Alejandro Rusi

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