Proficient in Python, Django, JavaScript, Ruby on Rails, RESTful APIs, HTML5/CSS3, and various frameworks (Flask, Vue.js). Experience with dynamic websites, templating, and integrating front-end and back-end services. Strong knowledge of GCP, AWS, and Azure platforms. Experience with Docker, Kubernetes, Ansible, CI/CD pipelines using Jenkins, Git, Chef, Puppet, and building ETL pipelines with tools like Airflow.Worked with data processing technologies like Apache Kafka, Spark (Scala/Python), Hadoop, Azure Data Lake, and NoSQL databases (MongoDB). Experience in AI, data science, and machine learning applications.Proficient in developing automation scripts using Python, shell scripting, and Rust. Worked on tools for monitoring, notification, and error-handling across cloud platforms and microservices architecture.

Extensive experience with cloud platforms (Azure, AWS, GCP), including deploying and managing services like EC2, S3, Databricks, and Azure Data Factory. Implemented data pipelines using Apache Spark (Scala/Python) and worked with NoSQL databases like Cassandra and HBase. Proficient in designing and developing BI solutions using tools like Power BI, Tableau, and SSRS. Created and optimized ETL processes, designed OLAP data models, and worked on data processing frameworks like PySpark and SQL.Developed RESTful APIs using frameworks like Django, Flask, and Spring Boot. Worked on serverless architecture with AWS Lambda, integrated with services like Kinesis, DynamoDB, and SQS. Experience in Python-based solutions, including API development, web scraping, and data parsing. Experience with CI/CD pipelines using tools like Bamboo, GitLab, Azure DevOps, and Docker. Automated deployments, wrote infrastructure as code using CloudFormation, and developed unit/regression test frameworks for quality assurance.

Developed backend systems using Python and Django, including building APIs (RESTful, SOAP), database models, and views. Worked with Flask, SQLAlchemy, PostgreSQL, and MySQL for API system deployment and database management.Built interactive web-based solutions with Python, Django, and Angular.js, handling both frontend and backend. Utilized HTML5, CSS, JavaScript, and AJAX to create user-friendly interfaces and integrated with various APIs. Implemented automation frameworks using Python and Shell scripting, handling MySQL container deployments in Docker. Worked with tools like PySpark, Scikit-Learn for machine learning, and Kafka for data streaming and processing. Experienced with GCP and AWS for infrastructure deployment. Managed CI/CD pipelines using Terraform, Jenkins, and Git. Created reusable templates for rapid application build, testing, and deployment. Supported DevOps engineers and optimized system processes.

Designed and developed both frontend and backend modules using Python, Django, HTML, CSS, JavaScript, and AJAX. Utilized Bootstrap for responsive UI layout and Django’s templating language for dynamic web pages. Built a Node.js backend for client applications.Implemented PySpark with Python for faster data processing, using data frames and SQL queries. Automated deployment and build processes with DevOps tools like Jenkins, Docker, Ansible, Kubernetes, and GCP. Configured Kubernetes clusters in GCP for containerized workloads and wrote REST APIs in Rust, including a Coinbase Pro API client. Managed services and policies using Python and Node.js backend.Worked with MySQL and MongoDB databases, executing queries through Python connectors. Utilized Sybase TSQL with PERL for data loading and reporting. Conducted unit testing using Python’s Punit framework and managed version control with GitHub.

Developed a data platform from scratch, collaborating with data scientists to understand experimental requirements. Implemented ETL processes, performed data cleaning, and managed data loading into Hive and Spark for large-scale processing using PySpark and SQL.Built responsive, internationalized SaaS solutions using ReactJS, AngularJS, NodeJS, and Symfony. Automated test scripts using Selenium, Python, and HP ALM, and streamlined CI/CD processes with Git and Maven.Deployed RESTful microservices on AWS (EBS and EC2) using Flask/Django, with data ingestion from Kafka via Apache Spark. Handled infrastructure monitoring and deployment of multi-threaded applications in AWS environments.Worked extensively with MySQL and PostgreSQL databases. Developed data pipelines, automated data handling, and ensured error handling in critical application points, improving system reliability for internal and customer-facing apps.