Daniel Cezar Salgado

Development of technology projects for data department in financial sector clients. Redesign of legacy access systems and processes and reimplementation with SAS environment. Creation of ETL pipelines for data extraction from relational databases and mainframes to data ingestion in the data lake (internal big data) and SAS storage. Data analysis, consolidation, and harmonization using hive and pyspark.

Design, development, and test of Robotic Process Automation (RPA) flows using Blue Prism tool on telecommunication industry websites. Redesign old processes and RPA developments, increasing performance, reliability, and speed of clients' processes on legacy tools.

Studied for one year abroad in Germany as an exchange student. Elective courses of Master Distributed Systems Engineering Program.

Activities and Societies: Formula SAE competition team member. Graduation in Electrical Engineering focused in Power Electric Systems. Final project title: Short-term load forecasting using recurrent neural networks (LSTM) technique. - Supervisor: Prof. Dr. Camila Paes Salomon