I'm a results-driven Data Engineer based in Atlanta, specializing in designing and building scalable data solutions for modern businesses. With a strong foundation in cloud computing, data architecture, and open source technologies, I am passionate about transforming data into actionable insights and driving innovation through automation and best practices.
- 🛠️ Core Skills: Data Engineering, ETL Pipelines, Data Warehousing, Cloud Infrastructure
- ☁️ Cloud Platforms: AWS (Redshift, DMS, S3, Glue, Lambda, IAM, DynamoDB, SQS), GCP, Snowflake, Azure
- 🐍 Languages & Scripting: Python (Pandas, PySpark), SQL (T-SQL, PL/pgSQL), JavaScript, Bash
- 🛢️ Databases: PostgreSQL, MySQL, MongoDB, Snowflake.
- 🛠️ Tools & Frameworks: Airflow, Docker, Terraform, Jenkins, DBT, Pandas, Spark
- 📦 Currently Learning: Kubernetes, Apache Kafka, Azure Data Factory, Databricks, CI/CD for DataOps, and advanced Data Lakehouse architectures
- 🤝 Open to Collaborate: Data engineering projects, cloud data platforms, ETL pipeline development, open source contributions, and innovative solutions in big data and analytics.
- 🖥️ Organization: damovisa-demo
- Design and implement robust data pipelines and ETL processes
- Optimize data workflows for performance and scalability
- Automate infrastructure with IaC tools (Terraform, CloudFormation)
- Integrate and manage cloud-based data platforms
- Advocate for best practices in data quality and governance
- Plan and execute seamless data migrations across platforms and environments
⭐️ From Dewhallez