ETL Development: Proficient in designing and implementing Extract, Transform, Load (ETL) processes to efficiently integrate data from various sources into data repositories.

Data Modeling: Experienced in developing logical and physical data models that align with business requirements, facilitating effective data analysis and reporting.

Programming: Proficient in languages such as Python to automate data workflows and perform data manipulation tasks.

Data Pipeline Orchestration: Experienced in orchestrating end-to-end data pipelines using tools like Apache Airflow or similar workflow management platforms.

DevOps Collaboration: Experienced in collaborating with DevOps teams to implement best practices for data infrastructure and ensuring efficient deployment and operations.

Cloud Platforms: deploying and managing data solutions on the Cloud, including services like Google Cloud Storage, Amazon S3, EC2, Glue, Redshift, Big Query, Athena, and EMR for data processing and analytics.

Visualization: Python, Tableau, Power BI, Looker.

Scripting: Python, Bash, YAML

I am interested in data engineering, DataOps, and collaborative opportunities in the exciting world of data.

📫 You can reach me @ [email protected]