- Development and maintenance of applications and data pipelines using Python, SQL, and JavaScript. - Implementation of data solutions using the Google Cloud platform architecture. - Construction and maintenance of data warehouses in BigQuery and datalakes in Google Storage. - Development of Python and SQL scripts for ingestion and ETL steps from various data sources (Google Sheets, Excel, CSVs, external APIs, FlexFlow, BaaN, among others). - Development of dashboards for data visualization

I develop a dimensional model from scratch, so i went through gathering knowledge of the data and its different sources, going to all the data modeling, planning on how I would ingest those data, where I will store them and what questions those data could answer from a client perspective.

• Development of software for automating financial processes using Google Apps Script and JavaScript. • Creation of customized solutions to optimize financial tasks, improve efficiency, and reduce errors. • Integration of legacy systems with internally developed applications to enhance data synchronization and workflow automation. • Collaboration with the accounting team to understand business requirements and implement effective solutions.

I was able to automatize the one monthly complex process, known as bank conciliation that the financial team did manually before.