Extracted data from the database using SAS/Access, SAS SQL procedures, and created SAS datasets.Transformed database reporting needs into powerful SQL queries to extract and compile data into meaningful reports.Proficient in machine learning modeling, regression, clustering, and classification using Python and R.Experienced in building servers using AWS, including importing necessary volumes, launching EC2 instances, creating security groups, auto-scaling, load balancers, and configuring Route 53 and SNS.Implemented a Continuous Delivery framework using Jenkins, Jfrog, Maven, and Nexus in a Linux Environment, deploying into AWS using the Jenkins AWS Code Deploy plug-in.Added support for Amazon AWS S3 and RDS to host static/media files and the database in the Amazon Cloud, with proficiency in deploying projects using Jenkins.Wrote Python scripts to parse JSON documents and load data into the database.Utilized Spark and Spark SQL for data integrations and manipulations, working on a POC for creating a Docker image on Azure to run the model.Used Pandas as an API to organize data as time series and tabular formats for manipulation and retrieval.Worked on AWS CLI Auto Scaling and Cloud Watch Monitoring creation and update.Experienced in machine learning algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, K-Means Clustering, and Association Rules.Worked with time series data and performed various statistical and machine learning algorithms such as LMS, regression, filtering, correlation, and neural networks.Environment: MySQL, MSSQL, Python 3.x, Git, JSON, Spark, Docker, Azure, SAS/Access, SAS SQL, AWS, Machine learning, artificial intelligence, Python, R, Chef Automation, EBS, S3, VPC, LDAP, VPN, RDS, SES, ELB, Autoscaling, CloudFront, CloudFormation, Elastic beanstalk, Cloudwatch, SNS, Route 53, LDAP, VPN, AWS S3, RDS, Git, JSON, IAM, CLI, API.

Created APIs, database Model and Views Utilization Python to build responsive web page application.Configuring and working with Flume and Kafka to load the data from multiple web sources directly into HDFSUsed GitHub, Bitbucket for Python source code version control, Jenkins for automating the build Docker containers, and deploying in MesosCreated regular expressions to extract data from semi-structured and unstructured data sources.Developed a python script to auto scale Kafka consumer micro services running on DCOS if the consumer lag is higher than the configured thresholdSupported application deployment in IAAS Cloud platforms like Rackspace, AWS and Google Compute engine and was responsible for resource planning of various virtual compute engines.Created monitors, alarms and notifications for EC2 hosts using Cloud watch. Automated the existing scripts for performance calculations using Numpy, SciPy and SQL Alchemy.Hands on experience with GUI tool kit like PyQt. Worked hands on with ETL process using Python. Handled importing data from various data sources, performed transformations in Python. Proficient with container systems like Docker and container orchestration like EC2 Container Service, Kubernetes, worked with Terraform.Implemented or exposing the Microservices to base on RESTful API utilizing Spring Boot with Spring MVC and Apache KafkaEnvironment: Django, SQLite, MySQL, PostgreSQL, APIs, HDFS, GitHub, Bitbucket, SDLC, AWS Cloud, Route 53, Amazon EC2, Numpy, SciPy, SQL Alchemy, GUI, PyQt, ETL, Microservices, RESTful API, MVC and Apache Kafka, Oracle, DB2, XML, Flat files, AMQP, RabbitMQ.

Development of Spring Microservices in PREDIX cloud environment. Converting user stories into backend logic in service classes.Develop consumer-based features and applications using Python, Django, HTML, Behavior Drive Development (BDD) and pair-based programming.Implementation of client side validations using JQuery, Angular JS and ASP.NET MVC Validation implemented at Controller level.Performed Unit testing, Integration Testing, GUI and web application testing using Spec.Implemented user interface guidelines and standards throughout the development and maintenance of the website using the HTML, CSS, JavaScript and jQuery.Worked on Restful API's to access the third party data for the internal analysis and statistical representation of that data.Worked on Pandas to import the data, Sort and plot the statistical data using histograms.Created instances in AWS as well as worked on migration to AWS from data Center. Worked on developing internal testing tools which were written in Python. Used GitHub for Version Control System and deployed the project code into Heroku.Worked on XML documents based on XML Schema definition (XSD) with python scripts to load the data to database.Experience in data analysis and machine learning techniques with hands-on-experience on various python libraries like NumPy, Pandas, and SciPy.Utilized Apache Spark with Python to develop and execute Big Data Analytics and Machine learning applications, executed machine learning use cases under Spark ML and MLLib.Used R for prototype on a sample data exploration to identify the best algorithmic approach and then wrote Scala scripts.Environment: Python, Django 1.7, HTML5, CSS3, Ruby, JIRA, TDD, AJAX, JQuery, JavaScript, AWS, MySQL, Angular JS, Linux, Apache, XML, Git, Selenium, Chef, Scala, spark, Spark ML, MLLib, machine learning, NumPy, Pandas, SciPy, Hibernate, XSD, Amazon Elastic Cloud, IAM, AWS CLI, HTML5, CSS3, JavaScript, JQuery, Python, Django, MySQL, Linux, C# .NET.

Actively involved in developing the methods for Create, Read, Update and Delete (CRUD) in Active Record. Involved in designing application system requirements and coded back-end and front-end in Python. Knowledge of cross-browser and cross-platform development of HTML and CSS based websites in Windows like IE 6, IE 7, IE 8 and FF. Participated in providing change requests, trouble reports and requirements collection with the client. Implemented and modified various SQL queries and Functions, Cursors and Triggers as per the client requirements. Managed code versioning with Bitbucket and deployment to staging and production servers. Implemented task object to interface with data feed framework and invoke database message service setup and update functionality. Worked under UNIX environment in development of application using Python and familiar with all of its commands. Developed remote integration with third party platforms by using RESTful web services.Development effort for the Micro services required for the projectsNew library development with micro services architecture using Rest APIs Used regular expressions in order to match the pattern with the existing one and store them in database on a chronological basis. Improved code reuse and performance by making effective use of various design patterns and refactoring code base. Involved in analysis and design of the application features. Was involved in debugging and troubleshooting programming related issues. Worked in MySQL database on simple queries and writing Stored Procedures for normalization and de-normalization. Deployment of the web application using the Ubuntu server. Environment: Python 2.7, HTML5, CSS, XML, MySQL, JavaScript, JQuery, CSS Bootstrap, RESTful, MS SQL Server, Ubuntu server, Microservices, Windows 12 Server, Amazon S3, Jenkins, My SQL, Mongo DB, GitHub, Bit Bucket, Linux, and Windows.

Responsible for gathering requirements, system analysis, design, development, testing and deployment. Participated in the complete SDLC process. Developed rich user interface using CSS, HTML, JavaScript and JQuery. Created Business Logic using Python 2.7. Used Django framework for application development. Created database using MySQL, wrote several queries and Django API's to extract data from database. Created specific images using Python Imaging Library for the custom images used for each book. Wrote scripts in Python for extracting data from HTML file. Effectively communicated with the external vendors to resolve queries. Used Git for the version control. Environment: Python 2.7, Django 1.7, MySQL, Windows, Linux, HTML, CSS, JQuery, JavaScript, Apache, Linux.