CI&T

• Gen AI initiatives to optimize code generation and code review using prompt engineering, RAG and CI&T AI platform Flow.
• Azure Data Platform: Create and maintenance of Delta lake. Main technologies: Azure Data Factory, Azure Databricks ( Unity Catalog, Workflow, Notebooks),Spark,SQL Data Lake Gen2.
• CICD : Azure Devops
• Technical guidance and POCs for ingestion and ETL.

Senior Data Specialist

Databricks

Data Engineering With Databricks, Data Analysis with SQL and Spark at different timezone schedules.

Databricks Certified Instructor

Boost IT

• Azure Data Platform 
•  Data modelling
• SQL Server Procedures
• ADF

Senior Data Engineer 

Luxoft Poland

Project Ahold Delhaize
• Tech lead: meetings with stakeholders, system design, technical documentation, implement peer review flow, technical guidance for the team, cost review and cost redution actions, POC for Gen AI adoption.
• Data Quality: Soda + Appinsight + Grafana
• CICD : Azure Devops, Github + Github actions
• IAC : Terraform
• Azure Data Platform: Create and maintenance of Delta lake. Main technologies: Azure Data Factory, Azure Databricks,Spark,SQL Data Lake Gen2, Azure CosmosDB, Synapse(serverless)

https://ms-f1-sites-02-we.azurewebsites.net/en-in/story/1630697471948302660-ahold-delhaize-retailers-azure-en-belgium

Senior Data Engineer/ Tech Lead @Ahold Delhaize

Project Ahold Delhaize
• CICD : Azure Devops
• Azure Data Platform: Create and maintenance of Delta lake. Main technologies: Azure Data Factory, Azure Databricks,Spark,SQL Data Lake Gen2, Azure CosmosDB, Synapse(serverless)

Data Engineer @Ahold Delhaize

Kumulus

Migrate on-premises environment to the Azure Cloud services for clients, applying the best architecture and infrastructure for each client need, working with technologies as Azure SQL DB, Azure Synapse Analytics (formerly Azure SQL DW), Data Factory, Data Lake, Azure Databricks and all the Azure Cloud solutions.

Data Engineer

São Paulo, Brazil

Building Sap Analytics Cloud Solutions for revenue, expenses and costs analysis. Including Sap Analytics Cloud scripts, KPIs and dashboards.
Data Modelling and KPIs for financial planning. Mapping customer’s processes  and how their requirements fit within the solution. SQL and python code to make data ingestion when necessary.
Schedule management, scope management and updating project status with project managers and customers;

BI and Analytics

Malwee

Key user in SAP Analytics Cloud deployment. All tasks were focused in this project including: solution design, mapping, configuration, go live for Analytics solutions, Financial planning, Expense and cost data analysis.

Controlling Analyst / Data Analytics 

Moore Stephens Brasil

Development of economic-financial spreadsheets using Excel / VBA / SQL. Including: process mapping, optimization of business routines, financial projections, data analysis mainly regarding expense and costs.

Economic Financial Consultant

Lenzi Finance and Systems

Projects of improvement and implantation of Dynamics AX ERP, in the areas related to financial and accounting. Main tasks: Mapping processes , training users ,design and testing solutions

System Analyst

Data Engineer | Analytics | Databricks | Azure | DP-203 | AWS | Spark |

As a seasoned IT professional with over 10 years of experience, I bring a unique blend of technical expertise and business acumen to the role of Data Engineer. My diverse background spans ERP projects, financial projections, software development, analytics, and data engineering, providing me with a comprehensive understanding of the entire data lifecycle.
In recent years, I've focused on data engineering, driven by my firsthand understanding of how crucial high-quality data is for meaningful analysis. My experience includes:
• Designing and implementing robust data pipelines for efficient extraction, transformation, and loading (ETL) processes
• Optimizing data storage and retrieval systems to enhance performance and accessibility
• Collaborating with cross-functional teams to align data solutions with business objectives
• Developing data quality frameworks to ensure accuracy and reliability of information.
   Tools I work with or study for professional purposes:
    • Data Lake Gen2
    • SQL 
    • Spark
    • Azure Data Factory
    • Azure Databricks
    • Python
    • Azure CosmosDB
    • Rest API
    • Synapse
    • AKS
    • Azure Devops
    • Also studying  : AWS S3, Glue, Athena,EMR, EKS,Airflow, docker and kubernetes.

    Soft skills:
    • Leadership Skills. 
    • Teamwork. 
    • Communication Skills.
    • Problem-Solving Skills.
    • Work Ethic.
    • Flexibility/Adaptability. 
    • Interpersonal Skills.

First steps with DQX, data quality framework for Apache Spark and databricks

Afonso Orgino Lenzi

As data engineers, we've all dealt with the downstream consequences of poor data quality—pipeline failures, incorrect analytics, and countless hours d

taplio

Afonso Orgino Lenzi's Linkedin Analytics

Afonso Orgino Lenzi

Performance ScoreAfonso Orgino Lenzi's LinkedIn Performance

Afonso Orgino Lenzi's Best Posts (last 30 days)

Ready to grow your LinkedIn presence?

taplio

.css-6ytdur{background-image:linear-gradient(284deg, rgba(39, 43, 72, 1) 0%, rgba(33, 47, 183, 1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Afonso Orgino Lenzi's Linkedin Analytics

Afonso Orgino Lenzi

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Afonso Orgino Lenzi's LinkedIn Performance

Afonso Orgino Lenzi's Best Posts .css-1emoo84{font-size:var(--chakra-fontSizes-md);font-weight:400;color:var(--chakra-colors-gray-600);}(last 30 days)

Ready to grow your LinkedIn presence?

Afonso Orgino Lenzi's Linkedin Analytics

Performance ScoreAfonso Orgino Lenzi's LinkedIn Performance

Afonso Orgino Lenzi's Best Posts (last 30 days)