Sai Babu P Email and Phone Number

specialized in creating scalable backend services, automation tools, and web applications using frameworks like Django and FastAPI. My role involves guiding projects through the SDLC with Agile methodologies, ensuring robust and secure solutions tailored for financial operations. I leverage advanced Python libraries, big data frameworks, and cloud services to enhance data analysis, transaction processing, and infrastructure resilience. Additionally, I implement machine learning models, ETL pipelines, and data governance policies to support data-driven decision-making and regulatory compliance.

Directed healthcare projects through all SDLC stages, employing agile methodologies to enhance patient data analytics and healthcare services. Developed scalable backend services and APIs using FastAPI and Django, and leveraged Python libraries like Pandas, NumPy, and Scikit-Learn for advanced data analysis and predictive modeling. Managed big data frameworks (Hadoop, Spark) and MongoDB systems for efficient data processing and storage. Utilized AWS tools (Redshift, Quicksight, ECS) and orchestrated workflows with Apache Airflow and Kafka. Implemented data quality frameworks adhering to HIPAA compliance, automated cloud infrastructure with Terraform, and ensured secure, scalable environments.

Developed Python-based AI applications and scalable data pipelines using Azure Data Factory, FastAPI, and Azure Functions. I designed and deployed serverless architectures with Cosmos DB and Azure API Management, and automated CI/CD processes with Azure Pipelines and Repos. I integrated Azure Event Grid and Logic Apps for efficient data workflows, leveraging Azure's big data tools like Databricks and HDInsight for advanced analytics. I also optimized infrastructure management with Terraform and automated data processing for real-time risk assessment and customer insights.

Orchestrated financial projects using SDLC, ensuring meticulous execution and integration of complex datasets into functional applications. Developed automated data processing scripts with Python and Pandas, enhancing operational efficiency. Managed Oracle databases, optimized for performance and security, and engineered scalable APIs with Django. Leveraged BigQuery for data warehousing and business intelligence, implemented Google Cloud Pub/Sub and Cloud Functions for event-driven architectures, and utilized Cloud Dataflow and Dataproc for scalable data processing and analysis. Developed machine learning models with Vertex AI, integrated predictive analytics, and crafted strategic visualizations with Tableau. Managed Jenkins for CI/CD, ensuring rapid and continuous software delivery.

Developed scalable backend applications and RESTful APIs using Django and Flask. I created automation scripts with Selenium, optimized application performance with Redis, and managed database interactions using SQLAlchemy. I ensured code reliability with pytest and facilitated team collaboration through Git. Additionally, I integrated third-party APIs, employed security measures with PyJWT, and contributed to Agile project management using JIRA.