Senior Python Developer

With over a decade of experience in Python development, cloud computing, and data analytics, I specialize in building scalable, high-performance solutions that drive business growth. My expertise spans frameworks like Django, FastAPI, and PySpark, allowing me to develop robust web applications and efficient data pipelines.
I have experience in creating microservices, RESTful APIs, and cloud-based systems using AWS. I’m comfortable with tools like Docker, Kubernetes, and I’ve worked with various databases like Oracle, MySQL, and MongoDB.
Proficient in AWS (Lambda, ECS, S3, Glue, and CloudWatch) and Azure DevOps, I deploy and manage cloud-native applications using Kubernetes, Terraform, and CI/CD pipelines.
Skilled in Snowflake, PostgreSQL, MySQL, and Redshift, I design and optimize ETL processes for analytics-driven decision-making.
Experience in creating RESTful APIs, event-driven architectures, and serverless applications with Flask, FastAPI, and DynamoDB.
Passionate about leveraging Python libraries (NumPy, Pandas, scikit-learn) for data analytics, predictive modeling, and real-time insights.
I’m focused on writing clean, efficient code and enjoy using design patterns and modern Python features to solve problems. I work well in Agile teams, constantly improving and delivering high-quality software. My goal is to develop practical solutions that meet business needs, whether it’s on the backend, frontend, or managing the whole project.