Almost 9+ years of experience in Design, Development, and analysis of Python, Django, and client-server technologies-based applications. Concept knowledge of Python libraries such as NumPy, Pandas, Requests, urllib3, Pyarrow, AWS CLI, and HTTP for data analysis. Understanding of computing concepts including DataStructures (Linear Regression, Decision Tree) and file manipulation in Python. Experience with Design, code, debug operations, reporting, data analysis, and Web Applications utilizing Python. Experience in implementing Object-oriented Python, Hash Tables (Dictionaries) and Multithreading, Django, MYSQL, Exception Handling, and Collections using Python. Strong experience in software development in Python (libraries used: libraries - Beautiful Soup, NumPy, SciPy, Matplotlib, python-twitter, Panda’s data frame, network, urllib2, MySQL db for database connectivity) and IDEs - sublime text, Spyder, emacs. Experience in developing Web Services with Python programming language - implementing JSON-based RESTful and XML-based SOAP web services. Experience with Amazon Web Services (Amazon EC2, Amazon S3, Amazon Simple DB, Amazon RDS, Amazon Elastic Load Balancing, Amazon SQS, AWS Identity and access management, Amazon SNS, AWS Cloud Watch, Amazon EBS, Amazon CloudFront, VPC, Route 53, DynamoDB, Lambada and Redshift. Experience in using Design Patterns such as MVC, Singleton, and frameworks such as DJANGO, Ability in handling Django ORM (Object-Relational Mapper) and SQL Alchemy. Proficient on Open Stack API’S and GUI framework - Pyjamas (for web). Expertise with MVW frameworks like Django, HTML5, CSS3, XML, Java Script, jQuery, Bootstrap. Proficient in performing PyCharm, Data Analysis, and Data Visualization using Python libraries. Exposure in various Python Integrated Development Environments like PyCharm, Spyder, and Sublime Text. Skilled in deploying and configuring various AWS services including S3, EC2, EMR, Redshift, Glue, and Lambda. Proficient in integrating AWS data services with BI tools like Tableau and Power BI for interactive data visualization and reporting. Experience in Spark Architecture including Spark Core, Spark SQL, Data Frames, and Spark Streaming with PySpark and PANDA library. Experience in deploying applications in heterogeneous Application Servers TOMCAT, Web Logic and Oracle Application Server. Hands-on experience working with various Relational Database Management Systems (RDBMS) like MySQL, Microsoft SQL Server, Oracle & non- relational databases (NoSQL) like MongoDB., PIP ,Cassandra and Conda. Excellent interpersonal and communication skills, efficient time management and organization skills, ability to handle multiple tasks and work well in team environment.