Developed a Financial Portfolio Management System for Citi Bank, enabling portfolio managers to track investments, analyze transactions, and gain real-time insights. The system featured a modern tech stack, with the front-end built using HTML5, React.js, TypeScript, JavaScript, and Redux for a responsive and dynamic user interface and the back-end was powered by Node.js, Express.js, and integrated with Node.js-based frameworks such as NestJS for structured microservices and Mongoose for MongoDB integration. The system leveraged a range of Azure cloud services for scalability and security, including Azure App Service for hosting, Azure Functions for serverless APIs, Azure SQL Database for data storage, Azure Blob Storage for managing files, and Azure Key Vault for securing sensitive information. The architecture was microservices-based, containerized with Docker, orchestrated with Kubernetes, and CI/CD pipelines ensured smooth and automated deployment.o The front-end of the application can be developed using HTML5, CSS3, JavaScript, AngularJS, and jQuery that communicate with the back-end via RESTful APIs. I utilized Node.js for creating serverless REST APIs using Azure Functions, enabling scalable and efficient back-end processing. o Integrate Node.js Azure Functions with other Azure services such as Azure Cosmos DB, Azure SQL Database, Azure Blob Storage, a manage secrets, and store configurations.o Developed data pipelines & managed data processing tasks using Databricks and Snowflake also Conducted complex data querying, filtering, aggregation, and joins on relational databases such as MySQL, Oracle, and SQL Server.o Developed and maintained ETL pipelines using Java, SQL, Hive, Pig, Azure services, and Python to transform and load data from disparate sources into NoSQL databases, data warehouses, and data lakes. Utilized Azure Data Factory, Blob Storage, Synapse Analytics, and Python libraries for efficient data processing and integration.

Designed and developed a healthcare application using Node.js, allowing patients to view health data, receive medication reminders, and interact with healthcare providers. The application can also enable healthcare professional to monitor patients remotely and provide personalized treatment plans based on the patient’s health data. The application adheres to HIPAA standards, ensuring patient data confidentiality & security. The architecture is microservices based, containerized with docker, orchestrated with Kubernetes for scalability & reliability and it Deployed on Azure with Azure App Services and Azure Kubernetes Service (AKS), it offers a reliable, secure, and scalable solution for improving patient-provider communication and remote care management.o The front-end of the application can be developed using HTML5, CSS3, JavaScript, AngularJS, and jQuery that communicate with the back-end via RESTful APIs. I utilized Node.js for creating serverless REST APIs using Azure Functions, enabling scalable and efficient back-end processing. o Integrate Node.js Azure Functions with other Azure services such as Azure Cosmos DB, Azure SQL Database, Azure Blob Storage, and Azure Key Vault to persist data, manage secrets, and store configurations.o Designed and implemented RESTful APIs in Node.js to enable seamless communication between frontend and backend components.o Utilized Oozie to manage data ingestion processes, orchestrating the extraction, transformation, and loading ETL of data from various source into Hadoop clusters.o Designed and maintained databases using Python and developed Python-based API (RESTful Web Service) using Flask, SQLAlchemy, and PostgreSQLo Designed and developed an external RESTful API based on NoSQL database MongoDB for exposing the functionality of an existing SaaS platform to the clients working in an Agile work environment.

Worked on an application which was used by banking for investment banking, securities, investment management and wealth management services and developed software for establishing global cross culture human network to strengthen the employee and business relation of clients using Python /Django Web Frameworks for server-side development with Restful APIs and integrated Pandas and NumPy for financial data processing. Here we utilized Azure services like Azure App Services, Cosmos DB and key Vault for cloud hosting, security and database management. o Engaged in development of RESTful Web Services for getting and sending data from the external interface in the JSON format and Developed user interface using CSS, PHP, HTML, JavaScript and jQuery.o Involved in data management including Data Modeling, Metadata, Data Analysis, Data mapping and Data Dictionaries. Involved in Data Modeling (Oracle/MySQL), Data Characterization, Workflow design & implementation. Analyzed the SQL scripts and designed the solution to developed a custom ETL pipeline by using Python.o Delivered datasets from Snowflake to Azure Synapse Analytics and built CI/CD pipelines using Azure. Implemented serverless computing with Azure Functions and managed data imports from Firestore to Azure Synapse Analytics using Azure Data Factory for batch processing with scheduling managed by Azure Logic Apps.o Used Azure data pipelines for Data Extraction, Transformation and loading from homogenous or heterogenous data sources and build various graphs for business decision-making using python mat plot, SciPy and NumPy Libraries.o Assisted in the development and deployment of cloud applications using Azure services, including Azure functions, Azure App Service and azure SQL database.o Utilize Databricks notebooks and PySpark to develop data transformation and ETL processes. Integrate data from various sources, such as databases, APIs, and cloud storage, into Databricks.