LeandroAlves

Co-founded a non-profit education platform dedicated to making transformational education accessible to all, focused on sciences, engineering, coding, and technology.

• Leading MVP development of a universal learning platform for underserved communities
• Driving fundraising efforts and strategic partnerships for sustainable growth
• Championing practical knowledge dissemination that bridges educational gaps globally

Designed and delivered end-to-end data and AI platforms on AWS for companies across multiple industries, focusing on scalable analytics, modern data architectures, and cloud automation.

• Led development of a complete Databricks-on-AWS analytics platform for a retail company, enabling advanced data-driven decision-making
• Executed full data modernization and cloud migration from Azure to AWS (5 TB), eliminating legacy data silos and improving governance
• Built a modern data lakehouse using S3 · Airbyte · Airflow · Spark (Glue/Athena) · Iceberg · dbt · SageMaker — fully automated with Terraform/Terragrunt
• Delivered an analytics forecasting tool that improved customer order prediction accuracy by 80%
• Implemented multi-workspace Databricks architecture fully managed as code with Terraform and Terragrunt

Providing cloud, data, devops, and software consulting services across AWS and Azure for various industries.

• Architect, implement, and manage AWS/Azure cloud solutions with Terraform (IaC-first, FinOps-oriented)
• Accelerate SDLC with robust CI/CD, secure delivery, and deployment operations via GitLab/GitHub Actions
• Transform data into actionable insights with advanced analytics pipelines and lakehouse architectures
• Elevate software practices through DDD, TDD, clean code, and DevSecOps principles

Developed data-driven solutions using the Celonis Platform, MS Azure, and GCP for enterprise clients as a data/cloud consultant.

• Improved pipeline architecture and costs by streaming CDC for heavy full-load tables using Apache Kafka on Azure Snowpipe
• Developed a notification system via MS PowerAutomate handling thousands of daily notifications by email, SMS, and Teams
• Developed 3 data pipelines and 4 dashboards (views + analyses) on the Celonis Platform
• Modernized a traditional data pipeline to a modern data-stack approach: Terraform · Airbyte · Airflow · Spark · dbt · BigQuery

Technical leader at a family office in financial markets, driving data engineering, software engineering, and DevOps practices.

• Designed a serverless infrastructure 40% cheaper and more scalable on MS Azure
• Developed serverless data lake and warehouse supporting all business and analytical processes
• Built 2 serverless microservices for S&P Capital IQ and Lote 45 third-party integrations using Python/FastAPI
• Implemented full IaC pipelines with Terraform on Azure DevOps with CI/CD via Azure Pipelines

Technical consultant via Boost IT as a Data Engineer for CREOATE (B2B e-commerce marketplace).

• Migrated 70% of the legacy WordPress platform to an event-driven serverless architecture on AWS
• Developed a data lakehouse using the full AWS data toolkit to support e-commerce analytics
• Implemented CI/CD pipelines with GitLab CI/CD and managed infrastructure with Terraform/Terragrunt

Cloud/Data Engineer managing large-scale data operations including ETL, scraping pipelines, and CRM development.

• Implemented and led the Scrum methodology as Scrum Master across the engineering team
• Developed a Customer-Relationship Manager (CRM) and an email finder-validator application
• Built a web scraping pipeline on AWS Lambda/Python with Apache Airflow (Celery) and MongoDB

Co-founded and led data engineering for an algorithmic trading platform, building ML models for automated investments in financial markets.

• Built data streaming and processing pipelines with Apache Kafka and Apache Spark
• Implemented LSTM-RNN and Q-Learning AI models for automated trading using TensorFlow
• Developed algotrading microservices with Python (Flask, Dask, metatrader5) for financial markets