Gilson

• Data Engineering Process Development via Google Cloud Platform, mainly BigQuery.
• Use of data ingestion tools (Python Scripts, Cloud Informatics, Dataflow, Cloud Functions) and Job orchestration (Airflow)
• Query Versioning via BitBucket (Git System)
• Layered data architecture. Analytics layer ETL process in BigQuery
• Applying business rules, creating and maintaining a database
• Data Modeling

• Dashboard development (Business Intelligence – BI) and data analysis
• Power BI
• People Analytics
• Machine Learning projects (NLP)
• MLOps (Batch) using Kubernetes and BigQuery
• Ingest data from different sources with Python Scripts.
• Application deploy with Cloud Functions and Kubernetes (Docker).
• Code Versioning with GitHub
• Layered data architecture. Analytics layer ETL process in BigQuery
• Applying business rules, creating and maintaining a database
• Data Modeling

• Dashboard development (Business Intelligence – BI) and data analysis
• QlikSense/QlikView
• Machine Learning Project (Chatbot)
• Rasa NLU/Dialog Flow
• Pharmaceutical Audits (CUP, NDDD, MDTR, PMB, GPS, etc…)
• Layered data architecture. Analytic layer ETL process in QlikSense
• Applying business rules, creating and maintaining a database
• Data Modeling