krishnasairaj / aws-driven-sales-performance-outlook

The Project aims to establish a robust data pipeline for tracking and analyzing sales performance using various AWS services. The process involves creating a DynamoDB database, implementing Change Data Capture (CDC), utilizing Kinesis streams, and finally, storing and querying the data in Amazon Athena.

Hi 👋, I'm Krishna Sai Raj Ponneboina

Software Engineer

Hello, this is Ponneboina Krishnasairaj from SRM University AP

I'm a dynamic data professional who can deliver tasks in data engineering and backend development. My passion is to work with my clients to provide high-quality, scalable data solutions that bring immediate and lasting benefit.

I specialize in the following data solutions:

• Building data warehouses using modern cloud platforms and technologies
• Creating and automating data pipelines, real-time streaming & ETL processes
• Building highly intuitive, interactive dashboards
• Data Cleaning, Processing
• Data Migration (Heterogenous and Homogenous)
• Developing and deploying applications using Spring Boot and Docker

Some of the technologies I most frequently work with are:

• ☁️ Cloud: AWS, GCP
• 👨‍💻 Databases: BigQuery, MySQL, S3, DynamoDB, MongoDB
• ⚙️ Data Integration/ETL: AWS Glue, GCP DataProc
• 📊 BI/Visualization: Tableau, PowerBI, Google Looker Studio
• 🤖 Machine learning: Jupyter Notebook, Python, Pandas, Numpy, JS
• 🛠️ Application Development: Spring Boot, Docker, Microservices

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