Hiren Laxmanbhai

• Built interactive web solutions using Python, including database models, APIs, and views. • Responsible for full SDLC: requirement gathering, design, development, testing, and deployment. • Created Python Django forms, rewrote Java applications into Python modules, and developed batch processors using Python ORM libraries like Django ORM. • Developed full frontend and backend modules with Python and Django, and built user-friendly interfaces using Django's view controller and templating. • Designed and managed data workflows with Python, NumPy, and Pandas, improving data handling efficiency. Built machine learning models with Scikit-learn, enhancing forecasting accuracy by 20%. • Developed REST APIs with Flask and Jinja2, and integrated JSON-based REST Web services and AWS for backend operations. • Created internal tools using Flask with Angular.js and Bootstrap, building user interfaces with HTML5 and JavaScript. • Engineered complex backend systems in Python, SQL, and Perl for Linux/Windows, and optimized server less applications using AWS Lambda. • Developed scalable data pipelines using PySpark, Spark, Kafka, and optimized ETL workflows with Apache Airflow. • Implemented Docker for consistent deployment, used Jenkins for continuous integration, and developed comprehensive testing suites with PyTest and unit test. • Enhanced data retrieval with Vector Databases and Retrieval-Augmented Generation (RAG), improving response accuracy and user experience. • Engineered full-stack web applications using Python, AWS Lambda, and React.js, focusing on secure coding practices and database optimization.

▪ Developed Airflow, which is a workflow management platform to schedule the Dags to copy the same records from S3 to Snowflake in three categories. ▪ Used Agile Methodologies, Scrum stories and sprints in a Python based environment, along with data analytics, data wrangling and Excel data extracts. ▪ Involved in all phases of software development life cycle for the case assignment and case management modules. Participated in specification, design, implementation, evangelism, and support of the application. ▪ Developed ETL/ELT frameworks for data integration, processing, and analysis. ▪ Created multiple Python Scripts for various application-level tasks. ▪ Developed views and templates with Python and Django's view controller and templating language to create a userfriendly website interface. ▪ Implemented various functions in NumPy and Pandas for mathematical operations and arrays. ▪ Used Angular services to consume the REST API's and retrieve data from database and Angular Pipes to filter the data to display it in the view. ▪ Used Pandas API to put the data as time series and tabular format for local timestamp data manipulation and retrieval and storing it into MongoDB. ▪ Built S3 buckets and managed policies for S3 buckets and used S3 bucket and Glacier for storage and backup on AWS. ▪ Involved in designing and developing Amazon EC2, Amazon S3, Amazon RDS, Amazon Elastic Load Balancing, Amazon SWF, Amazon SQS, and other services of the AWS infrastructure. ▪ Implemented task object to interface with data feed framework, invoke database message service setup, and update functionality. ▪ Dynamic implementation of SQL server work on website using SQL developer tool. ▪ Involved in tokenizing the sensitive data before archiving in AWS S3 using REST based Enterprise Tokenization service and encrypting the data before sending it over wire to external systems.

▪ Responsible for building dynamic webpages using Python frameworks like Django for clean and rational design of the website. ▪ Used various python libraries like NumPy, SciPy, Panda, Node.js and Multiprocessing for the purpose of design, development and maintenance of web applications. ▪ Initiated the development of complex SQL queries for testing the database functionality and ensuring good service. ▪ Responsible for the deployment and configuration of the application using UNIX server and development of backend services with the help of Python, Linux and SQL. ▪ Managed different datasets using panda data frames and MySQL, queried MySQL database from python using PythonMySQL connector MySQLdb package to retrieve information. ▪ Created web apps with the Django Rest Framework and model view control architecture. Created fast web apps with Django, Celery, and Redis. ▪ Developed a Single Page Application by using ReactJS backed by MongoDB and NodeJS. Designed and Maintained databases using Python and developed Python based API (RESTful Web Service) using Django, SQL Alchemy and PostgreSQL.