SUMMARY

• Almost 7 Years of professional experience in Analysis, Design, Development and Implementation of various client - server applications using Python.
• Experienced with full software development life-cycle, designing and architecting scalable platforms, object-oriented programming, database design and agile methodologies.
• Experience object-oriented programming (OOP) concepts using Python.
• Experienced in WAMP (Windows, Apache, MYSQL, and Python/PHP) and LAMP (Linux, Apache, MySQL, and Python/PHP) Architecture.
• Experienced in Python's modules like NumPy, regular expressions, collections, dates & times and OS modules.
• Worked on Cloud Computing AWS - EC2, RDS, S3, Glacier, SQS, SNS, Cloud Formation, VPC, IAM, Route 53, EBS, DynamoDB, Lambda, Redshift
• Experienced in developing web-based applications using Python, Django, FLASK, XML, CSS, and HTML.
• Hands-on experiences in Python scripting, Python STL, HBase, Hive, Pig, Scoop, Django, UI and web development.
• Experience in AWS Cloud platform and its features which includes EC2, AWS Lambda, AMI, EBS CloudWatch, AWS Config, Auto-scaling, IAM user management, and AWS S3.
• Built the web application by using Django, Flask, Jinja, Python, WSGI, REDIS, PostgreSQL and DynamoDB.
• Worked on standard python packages like boto and boto3 for AWS.
• Build scripts on AWS cloud for scheduling EC2 auto scaling load balancer with python SDK.
• Experience with Unit testing/ Test driven Development (TDD), Load Testing.
• Good experience in PL/SQL programming including complex SQL queries using stored procedures and Triggers in Oracle, SQL Server using TOAD and Query Manager.
• Gained good working experience on DevOps Environment by working on various technologies/applications like Ansible, Chef, GIT, SVN, Jenkins, and Docker.
• Developed a fully automated continuous integration system using Git, Jenkins, MySQL and custom tools developed in Python and Bash.
• Developed Restful API's integrating web exe with Flask and Python implementations with data exchange through JSON and XML formats.
• Excellent analytical and problem-solving skills with efficient time management and result oriented attitude.
• Experience in maintaining all the tools like Bit Bucket, Confluence, JIRA, and GIT.
• Good experience in Amazon AWS concepts like EMR, S3 and EC2 web services which provides fast and efficient processing of Big Data.
• Created Python scripts to automate AWS services which include web servers, ELB, Cloud front distribution, databases, security groups and application configuration.
• Good Experience in Linux Shell Scripting (Bash) and following PEP Guidelines in Python.
• Proficient in designing Model, View, Database Architecture for a given requirement or problem statement irrespective of underlying technology.

TECHNICAL SKILLS

Languages: Python, Shell Scripts, PL/SQL, HTML, CSS, XML.

Operating Systems: Windows, LINUX, UNIX, Mac OS

Frameworks: Flask, Apache Spark.

Web Technologies: HTML, CSS, XML

Web Services: SOAP, REST & GRAPHQL.

DevOps Tools: Ansible, GIT, SVN, Jenkins, Docker.

Database Tools: Datical, Flyway.

Databases: MySQL Server, Postgres Server, No SQL Databases such as Mongo DB & Couchbase, SQL Alchemy.

Cloud: AWS, GCP

Testing Tools: PyTest, Doc test, Unit test.

PROFESSIONAL EXPERIENCE

Confidential, Minneapolis, MN

Sr. Python Developer

Responsibilities:

• Worked closely with existing vulnerability management team to create workflows and exception process. This process involves delivering the vulnerability dataset to the system owners, representing items that require system owners to take appropriate actions. This process of integration involved talking to multiple systems via REST API interfaces built in Python.
• Collaborated with GRC (Governance, Risk, and Compliance) to streamline the vulnerability exception process to track vulnerability exceptions, reduce risk, and save end user hours having to manage and track vulnerability exceptions.
• Data Analysis with the help of Python Scripting for AML alert data files and few process implementations to store AML Alert data in DB in Python.
• Used Amazon Elastic Beanstalk with Amazon EC2 to deploy project into AWS.
• Created functions in AWS Lambda to run python scripts and AWS Lambda using java to perform event driven processing.
• Added support for Amazon AWSS3 and RDS to host static/media files and the database into Amazon Cloud.
• Extensive Experience in Amazon Web services like Amazon EC2, Amazon S3, Amazon Redshift, Amazon EMR and Amazon SQS.
• Knowledge on deploying applications using AWS stack (including EC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, IAM) focusing on high-availability, fault tolerance, and auto-scaling in AWS Cloud formation.
• Using Chef, deployed and configured Elasticsearch, Logstash and Kibana (ELK) for log analytics, full text search, application monitoring in integration with AWS Lambda and CloudWatch.
• Create a CloudWatch Events rule that matches AWS API call events and invokes the Lambda function.
• Implemented AWS solutions using DynamoDB, EBS, Elastic Load Balancer, Auto scaling groups.
• Setting server less AWS Lambda, to run code in response to events, such as changes to data in an Amazon S3 bucket or an Amazon DynamoDB table, to run the code in response to HTTP requests using Amazon API Gateway, and invoke code using API calls made by AWS SDKs.
• Used Couchbase Python SDK to build applications that use Couchbase Server.
• Supported PCI efforts, development related to overhauling the existing exception process which is an automation between SERVICE NOW and Rapid InsightVM (VMware).
• Involved in end to end design and development of several database models, built several Flask based APIs and deployed those APIs using Docker.
• Part of team implementing REST API's in Python using Python based micro-framework called Flask with SQL Alchemy in the backend for management of data center resources on which OpenStack would be deployed.
• Scraped data from internal websites for vulnerability analysis using with Python’s Beautiful Soup library.
• Instigated user interface guidelines and stand RDS throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery.
• Used CLOUDWATCH for monitoring AWS cloud resources and the applications that deployed on AWS by creating new alarm, enable notification service.
• Created a Python/Django based web application using Python scripting for data processing, MySQL Workbench for the database, and HTML/CSS/JQuery and Highcharts for data visualization of the served pages.
• Deployed project into Amazon web services (AWS) using amazon elastic bean stalk.
• Used GIT for the version control and deployed project into AWS.
• Designed AWS Lambda functions in Python an enabler for triggering the shell script to ingest the data into Mongo DB and exporting data from Mongo DB to consumers.
• Wrote Python scripts interacting with Google Cloud Storage, Datastore, AWS RDS, S3 and Redshift.
• Helped migrating and managing multiple applications from on premise to cloud using AWS services like S3, Glacier, EC2, RDS, SQS, SNS, SES, CloudFormation, VPC etc.
• Built a reporting tool for health check monitoring, using Ansible and Nexpose console.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible playbooks and has integrated Ansible with Jenkins.
• Always maintained 80%-unit testing coverage using PyUnit library for each unit of the code written.
• Proactively Involved in Penetration Testing to identify the threats while handling the exception process.
• Used PowerShell, Perl, Ruby PHP and Python scripting to set code building and configuration in Omni works baseline management
• Awarded for my efforts in fully automating the process to run hundreds of simulations and push the results directly to a database.
• Involved in the process of transferring data from Rackspace ODS to Google cloud storage, with the help of Google Big Query as to run data analytics.
• Experience in data integration and pipeline development using Apache Airflow as to automate the workflows by building Directed Acyclic Graphs (DAG).
• Having experience on PySpark in the process of data modernization as to handle Bigdata analysis.

Environment: Django, Java, JavaScript, Jenkins, MySQL, HTML, CSS, JQuery, Apache, Linux, Git, Perl, Cassandra, Linux, oracle and Windows, AWS, Amazon Lambda, server less, RDS, Scripting, DynamoDB, S3, SDK, SQS, SNS, CloudWatch, Python

Confidential, Cincinnati, OH

Python Developer

Responsibilities:

• Gathered data requirements from business analysts to identify business needs and built data models for the Annuity system.
• Executed highly accurate Python scripting to automate validation of data, improved validation speed and accuracy by 50%.
• Worked on Flask based API’s to integrate with multiple data bases.
• Analyzed, Visualized and manipulated the data using various machine learning libraries like NumPy, SciPy and Pandas in Python scripting for analysis of data.
• Worked on Seaborn library in python to make some statistical tools as to produce informative plots.
• Working knowledge of various AWS technologies like SQS Queuing, SNS Notification, S3 storage, Redshift, Data Pipeline, EMR.
• Utilized Python Libraries like Boto3, NumPy for AWS. Used Pandas library for statistical Analysis. Developed efficient Angular.js for client web based application.
• Primarily involved in designing, developing the SDK and testing and implemented MAG SDK features considering usability, security aspects, and proof of concepts, continuous integration and documentation.
• Developed the notification service by posting the JSON request in AWS API Gateway, Validating the response in Lambda by getting the data from DynamoDB and sending the notification through AWS SNS.
• Worked on Tableau in the process of data visualization.
• Did extensive work with ETL testing including Data Completeness, Data Transformation & Data Quality for various data feeds coming from source.
• Responsible to develop and design data driven charts/graphs using Seaborn library to display clearly huge datasets.
• Evaluated JSON based REST, SOAP Web services on Amazon Web services (AWS) along with EBS and RDS.
• Used the boto3 module in Python to interface with Amazon Web Services (AWS) like DynamoDB, which is a NoSQL database service that provides fast and predictable performance with seamless scalability.
• Handled file uploads using Django's File Handling system with Boto3 and stored images into Amazon S3 Buckets, and monitored requests using Amazon CloudWatch.
• Involved in Data mining and Data cleansing during the preprocessing stage of data validation.
• Created ETL (Extract, Transform, and Load) pipelines to design mapping sheets, reconcile data and to archive the reconciled data.
• Developed scripts using Python scripting, XML to automate some of the menial tasks and used GitHub repository to run the Jenkins job for Continues Integration.
• Acted as liaison between insurance clients and auditors’ team, explaining Athene’s proprietary platform capabilities and limitations.
• Designed and maintained databases using PostgreSQL in Python.
• Designed and developed MySQL Procedures and UNIX Shell Scripts for Data Import/Export and Conversions.
• Installed Witbe, Python, Jira, test Rail as part of server setups. Builded AWS server for deployment and data processing.
• Also used Python scripts for security purposes, AWS IAM, AWS lambda functions and deploying the applications through elastic beanstalk.
• Responsible for Continuous Integration (CI) and Continuous Delivery (CD) process implementation for database using Jenkins.
• Automated database deployments process into a simple reusable manner using Datical.
• Worked on BMC Control-m tool, which simplifies and automates diverse batch application workloads. Additionally, this tool improves SLAs by reducing the database update times by 70% and accelerates application deployment.
• Used version control and added support for Amazon AWSS3 and RDS to host static/media files and the database into Amazon Cloud.
• Experience Amazon SQS, and Amazon Web Services like EC2, Redshift and S3.
• Automate operations processes using lambda, CloudWatch Events, Schedules.
• Worked on Amazon AWS S3 and RDS to host object-based files into Amazon Cloud.
• Worked on Multiple AWS instances, set the security groups. Elastic Load Balancer and AIMs, Auto Scaling to design cost effective, fault tolerant and highly available systems.
• Trained extensively in agile methodologies and participated actively in daily scrum stand ups, discussions on understanding requirements with clients.

Environment: Python, Django, HTML, CSS, SVN, UNIX, T-SQL, Jasper, Reports, JavaScript, Eclipse, Linux, AWS, Amazon Lambda, server less, RDS, Scripting, DynamoDB, S3, SDK, SQS, SNS, CloudWatch, Python, Shell Scripting, RESTful, Oracle and Windows.

Confidential

AWS/Python Developer

Responsibilities:

• Used UML Rational Rose to develop Use-case, Class and Object diagrams for OOA/OOD techniques.
• Built database model, Views and API's using Python for interactive web-based solutions.
• Placed data into JSON files using Python to test Django websites. Used Python scripts to update the content in database and manipulate files.
• Developed web-based application using Django framework with python concepts.
• Generated Python Django forms to maintain the record of online users.
• Used Django API's to access the database.
• Involved in Python OOD code for quality, logging, monitoring, and debugging code optimization.
• Build React components and stand-alone functions to be added to any future pages.
• Rewrite existing Java application in Python module to deliver certain format of data.
• Wrote Python scripts to parse XML documents and load the data in database.
• Generated property list for every application dynamically using Python.
• Refactored messaging and storage implementation in loan originator service to use AWS SQS and S3
• Developed corresponding ETL jobs, batches and automated real-time data load.
• Created a backend server with Python Flask that implemented routing for indexing & showing page and receiving the video & info data sent from the user
• Skilled in using Collections in Python for manipulating and looping through different user defined objects.
• Developed responsive UI using HTML5/CSS3, Angular 4 and JavaScript.
• Developed database layer including Tables and Stored procedures in MYSQL.
• Used JSON based and RESTful API for information extraction
• Worked with Marketing and Sales teams to enhance applications to suit their needs
• Debug application deployments on multiple environments.
• Created Unit test/ regression test framework for working/new code.
• Installed and maintained web servers Tomcat and Apache HTTP in UNIX.
• Responsible for designing, developing, testing, deploying and maintaining the web application.
• Designed and developed the UI for the website with HTML, XHTML, CSS, JavaScript and AJAX.
• Used the Python's modules NumPy, Matplotlib, etc. for generating complex graphical data, creation of histograms etc.
• Developed and designed automation framework using Python and Shell scripting.
• Involved in debugging and troubleshooting issues and fixed many bugs in two of the main applications which are main source of data for customers and internal customer service team.
• Implemented SOAP/RESTful web services in JSON format.
• Associated with debugging the applications monitored on JIRA using agile methodology.
• Attended many day-to-day meetings with developers and users and performed QA testing on the application.
• Developed Spark Code using python for faster processing of data.
• Wrote and executed various MySQL database queries from Python-MySQL connector and MySQL

Environment: Python, Django, HTML, CSS, SVN, AWS, Amazon Lambda, server less, RDS, Scripting, DynamoDB, S3, SDK, SQS, SNS, CloudWatch, Python, UNIX, T-SQL, Jasper, Reports, JavaScript, Eclipse, Linux, Shell Scripting, RESTful, Oracle and Windows.