As Data Engineer I have built pipelines to process a large amount of data and leverage strategic insights.

• Reduce the queries average in Neo4j time in 40%
• Improved our Kafka load by 60% with architecture changes avoiding 600 million reads/day
• Improved our Deployment setup decreasing the deployment time from 40 min to 15 min
• Improved our CI setup decreasing the build time from 25 min to 10 min

As SRE / Security champion working closely with our CISO and SRE Team Lead, I did implement solutions to secure our code development workflow and production services.

• Setup new monitoring system using Prometheus + Grafana to expose metrics from our applications running in our Kubernetes cluster
• Implemented various corrections and new features to mitigate potential vulnerabilities in our platform helping to increase our Security Scorecard in 10%

Technologies: GCP (Storage, Functions, Cloud SQL, Kubernetes Engine, Dataflow, Composer, BigQuery, BigTable, CloudBuild), Apache Beam, Airflow, Docker, Docker-compose, Kubernetes, Prometheus, Grafana, Cloudflare, Git, Github, Jira, Notion, Postgres, Neo4j, ElasticSearch, GraphQL, Python, Java, Golang, Scala, Javascript