diegolutckmeier

Finish a project of a new data engineering architecture on Azure cloud environment with heavy daily data ingestion. Containing tables with 1B+ rows in Synapse. Develop a data access permissions system using Azure and Power BI, applying dynamic RLS for multiple dashboards with 800+ users. Migration of 5 core Power BI dashboards. Creation of failure monitoring control in Synapse and Logic Apps.

Technical reference in the management and development of the company data warehouse, building and monitoring data pipelines with a variety of data sources, using Azure Cloud services like Azure Data Factory, Azure Synapse and Azure Analysis Services. Deploying code improvements using Azure DevOps for CI/CD. BI reporting and data analysis consultancy for all business teams using Power BI Platform. Development and validation of the main company KPI's dashboard. Member of innovation team. Mentored 2 workshops about data analytics and mentored 3 specific business data projects. Product Owner role in the data team, managing the backlog, aligning customer needs, refining technical solutions and managing the deliveries by implementing Agile in the team using Azure DevOps. Award: Top Performer Q1/24.

BI reports development and maintenance for different business areas using Power BI Platform. Data pipelines development for clients data warehouse using Microsoft Azure cloud services, like Azure Databricks, Azure Data Factory, Azure SQL Server, Azure Data Lake (NoSQL) and Azure Synapse Analytics. Development of notebooks in Databricks using Python to process data. (4 Months as intern) Studying and building projects in Java.

Made marketing data analysis using Google Analytics, Google Ads, Instagram API, Google Data Studio and Power BI to deliver better data-driven decisions. Made Industry 4.0 data analysis using MongoDB (NoSQL), Grafana, Power BI, Python and JavaScript that helped the identification of anomalies in the industry production. Deployed a NN Machine Learning model in Brain.js library with streaming data consumption and returning the results on a web page, this implementation helped to improve industry machines lifespan. (4 Months as Intern) Built a BI Dashboard to make marketing analysis in Power BI.