Hello! I'm a passionate Data Engineer and DevOps enthusiast with 4 years of experience in the field. I thrive in dynamic environments and have worked in both fast-paced Fintech startups and renowned consulting companies. My expertise lies in leveraging cutting-edge technologies and cloud platforms to design robust data solutions.I am well-versed in a range of technologies, including AWS, Python, Spark, SQL, NoSQL, Terraform, Kubernetes, Docker, and Airflow. In addition, I hold an AWS Certification that validates my skills and knowledge in cloud computing.Some of my most relevant achievements include: architecting and developing a Delta Lake on AWS, creating CI/CD pipelines for deployments using GitLab and Azure DevOps, orchestrating data solutions with Apache Airflow, and creating dashboards with Power BI. Additionally, I have experience with Amazon Web Services (AWS) for big data and machine learning.If you're looking for a dedicated Data Engineer with a proven track record, feel free to connect with me. Let's explore how we can leverage data to drive innovation and achieve remarkable results together!Technologies:- Python (Pandas, NumPy, PySpark)- SQL / NoSQL- AWS (Glue, Athena, S3, EMR, Lambda, Redshift, MWAA, Lake Formation)- Apache Spark- Terraform- Docker- Kubernetes- Airflow- dbt- Snowflake- PowerBI- Git- LinuxMedium: https://medium.com/engenhando-dadosGithub: https://github.com/Delfinoln
Listed skills include Microsoft Office, Microsoft Excel, Microsoft Powerpoint, Microsoft Word, and 4 others.