Responsibilities & achievements

• Designed and developed ETL processes. • Developed queries in AWS Aurora (MySQL, PostgreSQL). • Created queries in AWS Redshift. • Utilized monitoring tools such as Datadog and New Relic. • Worked with containerization technologies like Docker and Kubernetes. • Analyzed performance using AWS Performance Insights. • Managed DevOps tools and principles, including version control, Infrastructure as Code, and deployment pipelines in K9s and CircleCI. • Administered data analytics applications (e.g., Tableau, Metabase). • Developed machine learning (ML) pipelines using Python.

Responsibilities & achievements

• Interpreted business requirements and documented them through functional and technical specifications. • Analyzed data from various sources to extract meaningful information. • Modeled collected information into efficient data structures. • Designed, developed, tested, and deployed ETL processes for structured and unstructured data to the cloud (AWS and GCP). • Developed and maintained robust and reliable data pipelines. • Processed high-volume information using big data technologies in the cloud (AWS and GCP).

Responsibilities & achievements

• Transformed and analyzed data into useful, timely, and reliable information for decision-making using IT tools (Google BigQuery, PL/SQL, Google Cloud Storage). • Analyzed, designed, and developed indicators for various departments requiring information support from institutional computer systems. • Extracted and selected different variables, creating and optimizing classifiers using machine learning (Python/R). • Processed, cleaned, and verified the integrity of data used for analysis, constructing, and improving data pipelines. • Built operational, tactical, and managerial dashboards using Google Data Studio and Power BI.

Responsibilities & achievements

• Established product universes and sample designs using sampling techniques. • Managed databases to establish sales projections through time series statistical models (SQL Server 2016, Tableau). • Provided statistical support for data consistency, variable analysis, and coverage analysis (Python, R, SPSS). • Implemented process improvement projects using the Six Sigma methodology. • Oversaw statistical control of processes in the area (Minitab). • Provided statistical support during meetings with external and internal clients.