Create and implement data analysis pipelines, including data access, ingestion, munging / manipulation / cleansing, analysis / modelling, testing, deployment / integration into business applications and services.

Enhance operational aspects of businesses by increasing control of the company's data.

Working in cross-functional teams to provide data-driven solutions for increased efficiency and productivity.

Performed data engineering, reporting and data analysis, managing all data operations across the company.

Set up a framework for collecting, analyzing, and extracting business value from the events of multiple products.

Leveraging Apache Airflow to run data workflows, AWS redshift as an analytical database, DBT to model data, Metabase to produce dashboards, Jupyter-Notebooks to run custom analysis and reports. Also A/B testing, user-behavior analysis, growth analytics.

Worked as a member of the data science team, researching and implementing product recommendation models in Apache Spark and then placing those models into a production environment.

Used Apache Spark jobs to leverage Matrix Factorization and other algorithms, used python and Jupyter-notebooks for data analysis, building models, and model evaluation.

Developed Java web-services to bring these models into production.

Performed end to end development of a big data application to perform market analysis on the MercadoLibre platform.

Closely collaborated with the development team to assess the company’s Big Data infrastructure.

Created data processing frameworks and data tracking programs.

Designed a data processing pipeline for Cloud operations using Python, AWS, RabbitMQ, MongoDb.

Understand necessary data requirements and optimized solutions for performance and scalability.

Ensured a good data flow between databases and the back-end system.

Developed from scratch an e-commerce solution for a marketplace using MEAN stack.

Generated process improvements and workflow enhancements for the application.

Actively collaborated with Development, Testing, Design, and Digital Marketing teams in delivery execution of the application.

Created and maintained a data visualization studio focused on open-data projects.

Acted as a Full Stack developer using Play Framework, MongoDB, MySQL, Angular.js for projects.

Oversaw product development and permanently communicated with the development team for planning and refining the requirements.

Developed an engine capable of managing Twitter campaigns, interacting with different APIs, and storing different metrics for analytics.

Developed a high throughput pipeline for storing and displaying tweets using ActiveMQ, MongoDB, and Redis.

Collaborated with other departments and stakeholders on software development, improvements, internal tools, and implementation issues

Performed back-end development for several high-traffic html/flash based social games with weekly deploys and a distributed environment.

Executed functionality testing and maintenance tasks across multiple clients.

Monitored progress against task estimates to provided status to stakeholders.