- Reduced Deployment Lead Time by 64%, from 28 days to 10 days by facilitating a Value Stream Mapping workshop with participation from multiple teams- Contribute to a culture of Continuous Improvement by helping teams align day-to-day work with customer value and organizational goals.

- Automated Cloud Provisioning: Developed a Django application to automate cloud infrastructure setup with Terraform and Python, enhancing the migration process and deployment efficiency.- Cloud Monitoring Implementation: Deployed an Azure-based logging pipeline with Event Hub, Functions, and Datadog, enhancing operational oversight and response capabilities.- Cost-Efficient Data Transfer: Designed and built a file pull/push solution using Azure Data Factory, optimizing data transfer costs and efficiency across multiple cloud platforms. Conducted comprehensive cost-analysis to maximize client savings.- Collaborative Team Culture: Contributed to a team environment that values listening, consensus-building, and collaboration.

- Managed a DevOps team, improving infrastructure with Django, Kubernetes, and AWS.- Built and deployed tools for students using Python, FastAPI, and Docker.- Developed a system to collect student submissions, presented in a Django-based dashboard, deployed to AWS Fargate.

AICEP Portugal Global- Developed a web application to process and search documents, with NLP and Computer Vision, achieving a 75% increase in document availability for search with Elasticsearch.- Wrote ETL processes with Airflow on Google Cloud Composer.- Deployed neo4j and Elasticsearch services to GCP.- Performed cost and feature analysis of different source control providers.NOS Telecommunications company- Built data ingestion pipelines using a bespoke framework with Oracle SQL, bash, Hive.- Facilitated cross-team knowledge sharing, creating learning materials that reduced Data Engineer's onboarding time by 3 months.

- Mined data for insights to drive product decisions, managing a Data Warehouse with AWS EC2, Firehose, S3, Snowflake, and Terraform.- Developed data collection on Android devices and cloud infrastructure for data reception.- Built Data Marts to serve specific business use cases, working closely with product and marketing teams for reports and dashboards.- Deployed a company-wide business intelligence solution (Chartio) and defined Key Performance Indicators with decision-makers.- Applied NLP to customer surveys and built an internal tool for Customer Support using Django, MongoDB, SQL, AWS ECS, Fargate, and Terraform.

- Built a Machine Learning pipeline on AWS EC2 to predict Key Performance Indicators for advertising campaigns.