SUMMARY:

• Around 8 years of experience as a Software Engineer/Developer with a deep understanding of technology trends with expertise in the core of complex technologies. Solid experience in analysis, design, and development, testing, implementation and maintenance of various web applications using Python and Django
• Experienced in setting up EC2 instances, security groups and Setting up databases in AWS using S3 bucket and configuring instance backups to S3 bucket.
• Hands on experience in migrating Business from a physical data Centre environment to AWS.
• Expertise infrastructure from inhouse servers to AWS cloud. Used Docker Container, EC2, IAM, RDS, Route 53, REST API gateway and Lambda of AWS.
• Experience in application development using PYTHON, Django, HTML5, CSS, JavaScript, jQuery, Oracle, MySQL, PostgreSQL and SQLite.
• Experience in using Design Patterns such as MVC, Singleton and frameworks such as Django.
• Experiences in Designing and Developing Web Services, RESTful API's for Mobile Apps using Python Django - REST and Flask Frameworks on Nginx and Uwsgi servers.
• Experience in developing web applications by following Model View Control (MVC) Architecture using server-side application Django.
• Visualize, interpret, report findings, and develop strategic by python libraries (NumPy, Pandas, SciPy, and Scikit-Learn)
• Effectively implement the Pandas, NumPy, and Matplotlib libraries in combination with ArcGIS extension for use with data analytics.
• Used Python 3.X (NumPy, spicy, pandas, scikit-learn, seaborn) and Spark 2.0 (PySpark, MLib) to develop variety of models and algorithms for analytic purposes.
• Used python decorators, generator, list comprehensions, list, JSON, cache, pandas and NumPy for building python functions for processing of data.
• Experience with Python Libraries/Packages such as HTTPLib2, Urllib2, Beautiful Soup, PyQuery, NumPy, SciPy, Pickle, PyQT, PySide, wxPython, Pytables, Data Frames, SQLAlchemy, Twisted, Pygame, pyGtk, Pandas and Matplotlib.
• Excellent hands on experience in developing web-based applications using Django and Flask which involves MVC Architecture.
• Expertise in E-commerce platform built utilizing Python with Flask back-end
• Experience on Hadoop (HDFS), Hive QL, Impala, Apache Drill, Apache Spark, SQOOP, FLUME/Kafka.
• Experienced in using Pig, Hive, Sqoop, Oozie, Zookeeper, Kafka, HBase and Cloudera Spark, Ansible, Docker and Git.
• Experienced in writing live Real-time Processing and core jobs using Spark Streaming with Kafka as a Data pipe-line system.
• Utilized Spark, Scala, Hadoop, HBase, Kafka, Spark Streaming, MLlib, Python, a broad variety of machine learning methods including classifications, regressions, dimensionally reduction etc.
• Strong experience in Big data, Bigdata Integration and Analytics technologies including Apache Spark, Hadoop, Kafka, Storm
• Experience with container-based deployments using Docker, working with Docker images, Docker Hub and Docker registries and Kubernetes.
• Developed CI/CD system with Jenkins on Google's Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy.
• Expertise in Kubernetes to deploy scale, load balance, and manage Docker containers with multiple namespace versions
• Experienced in NoSQL technologies like MongoDB, CouchDB Cassandra, Redis and relational databases like Oracle, SQLite and MySQL databases.
• Expertise in working with different databases like Oracle, MySQL, PostgreSQL and Good knowledge in using NoSQL database MongoDB.
• Experience in Python advanced packages and modules like Requests, Scrapy, Beautiful Soap, Multithreading, Pandas, NumPy, SciPy, Matplotlib, wxPython, QT, Regex expressions, SQL Alchemy, SQL based database connections JDBC/ODBC and Py-Virtual Environment

PROFESSIONAL EXPERIENCE:

Confidential - Sacramento, CA

AWS Engineer

Responsibilities:

• Created, activated and programmed in Anaconda environment. Wrote programs for performance calculations using NumPy and pandas.
• Generating various capacity planning reports (graphical) using Python packages like Numpy, matplotlib.
• Used Python for data analytics, data wrangling and extracting data using Pandas, Pyexcel, NumPy and SciPy.
• Developed forms using HTML and performing client-side validations using JavaScript, jQuery and Bootstrap
• Worked on PythonOpenStack APIs and used Numpy for Numerical analysis.
• Used web services like Amazon Web Services (AWS) EC2, AWS S3, Auto scaling, Cloud watch and SNS.
• Used Amazon Elastic Beanstalk with Amazon EC2 to deploy project into AWS.
• Used AWS Cloud Watch to monitor and store logging information
• Created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets. Implemented Terraform to manage the AWS infrastructure and managed servers using configuration management tools like Chef and Ansible.
• Rewrite existing Python/Django modules to deliver certain format of data.
• Implemented Model View Control (MVC) architecture using server-side applications like Django and Flask for developing web applications.
• Developed Restful Microservices using Flask and Django and deployed on AWS servers using EBS and EC2.
• Django Framework was used in developing web applications to implement the MVT architecture.
• Used Django configuration to manage URLs and application parameters.
• Developed views and templates with Python and Django's view controller and templating language to created user-friendly website interface.
• Develop consumer-based features and applications using Python, Django, pyramid, Flask, Web2py, HTML and other web technologies.
• Implemented REST API's in Python using micro-framework like Flask with SQL Alchemy in the backend for management of data center resources on which OpenStack would be deployed.
• Involved in Developing a Restful service using Python Flask framework.
• Responsible for designing and deploying new ELK clusters (Elasticsearch, Logstash, Graphite Kibana, beats, Kafka, zookeeper etc.
• Developed Kafka producer and consumers, HBase clients, Spark, shark, Streams and Hadoop MapReduce jobs along with components on HDFS, Hive.
• Working with container-based deployments using Docker, working with Docker images, Docker Hub and Docker registries and Kubernetes.
• Design and Built Generic Playbooks to remotely configure the micro-services on kubernetes and Used Kubernetes as the monitoring tool for health check of the servers.
• Creating restful web services for Catalog and Pricing with Django MVT, Jersey, MySQL, and MongoDB.
• Created entire application using Python, Django, MongoDB and Linux and provided expertise in FIX protocol development.
• Developed high-performance distributed queueing system using Scala, Redis, Akka, closure, MQ messaging, Json
• Implemented REST API's in Python using micro-framework like Flask with SQL Alchemy in the backend for management of data center resources on which OpenStack would be deployed.
• Automated the existing scripts for performance calculations using NumPy and SQLAlchemy.

Confidential - Irving, TX

Software Engineer

Responsibilities:

• Created Terraform scripts for EC2 instances, Elastic Load balancers and S3 buckets. Implemented Terraform to manage the AWS infrastructure and managed servers using configuration management tools like Chef and Ansible.
• Involved in Using AWS Cloud Watch performed Monitoring, customized metrics and file logging.
• Used GO lang scripts for uploading a file to S3 and deploying them and creating GO serverless application and deploying it to AWS lambda.
• Developed views and templates with Python and Django's view controller and templating language to created user-friendly website interface.
• Worked with Python ORM Libraries including Django ORM and have good knowledge on Project management tools.
• Involved in creating initial website prototype from Django skeleton and building out Views, Templates using CSS for whole site following Django MVC architecture.
• Developed server-based web traffic statistical analysis tool using Flask, Pandas.
• Developed a portal to manage and entities in a content management system using Flask.
• Developed Restful Microservices using Flask and Django and deployed on AWS servers using EBS and EC2.
• Implemented usage of Amazon EMR for processing Big Data across Hadoop Cluster of virtual servers on Amazon Elastic Compute Cloud (EC2) and Amazon Simple Storage Service (S3)
• Loaded and transformed large sets of structured, semi structured and unstructured data using Hadoop/Big Data concepts.
• Helped the big data analytics team with implementation of python scripts for Sqoop, spark and Hadoop batch data streaming
• Worked in DevOps group running Jenkins in a Docker container with EC2 slaves in Amazon AWS cloud configuration. Also gained familiarity with supporting technologies like kubernetes and Mesos.
• Launched Kubernetes to provide a platform for automating deployment, scaling and operations of application containers across clusters of hosts.
• Used Jenkins pipelines to drive all micro-services builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Implemented Machine Learning, Computer Vision, Deep Learning and Neural Networks algorithms using TensorFlow and designed Prediction Model using Data Mining Techniques with help of Python, and Libraries like NumPy, SciPy, Matplotlib, Pandas, scikit-learn.
• Automated the existing scripts for performance calculations using NumPy and SQLAlchemy.
• Developed Python scripts to monitor health of Mongo databases and perform ad-hoc backups using Mongo dump and Mongo restore.
• Designed automation scripts to back up the old records by using Mongo DB export command and transferred the files into backup machine with the help of ftplib.
• Implemented SQLAlchemy which is a python library for complete access over SQL.
• Involved in working with Web-services backend development using Python (CherryPy, Django, and SQLAlchemy).

Confidential - Roseville, CA

Python Developer

Responsibilities:

• Used AWS RestAPI gateway and connected with lambda functionality.
• 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.
• Leveraged AWS cloud services such as EC2, auto scaling and VPC to build secure, highly scalable and flexible systems that handled load on the servers.
• Involved Developed dynamic web pages using python Django Frameworks and used Python and Django creating graphics, XML processing, data exchange and business logic
• Consumed external APIs and wrote RESTful API using Django REST Framework and Angular.
• Integration of data storage solutions using Django ORM system for MongoDB.
• Developed and Tested features of dashboard using CSS, JavaScript, Django, and Bootstrap.
• Developed Restful Microservices using Flask and Django and deployed on AWS servers using EBS and EC2.
• Used SQL Alchemy with Flask and PostgreSQL as database for developing the web application.
• Developed internal auxiliary web apps using Python Flask framework with CSS / HTML framework.
• Helped the big data analytics team with implementation of python scripts for Sqoop, spark and Hadoop batch data streaming
• Involved building Hadoop platforms, maximizing business value by combining data science with big data.
• Wrote python code within the Hadoop framework to solve Natural Language Processing problems.
• Developed Shell Scripts for automation of routine tasks and implementing file sharing on the network by configuring Hadoop on the system to share essential resources.
• Setup Docker on Linux and configured Jenkins to run under Docker host.
• Created Docker images using a Docker file, worked on Docker container snapshots, removing images and managing Docker volumes.
• Used jQuery and AJAX calls for transmitting JSON data objects between front end and controllers and Utilized continuous integration and automated deployments with Jenkins, Ansible and Docker.
• Automated the existing scripts for performance calculations using NumPy and SQLAlchemy.
• Used Python plotly, numpy library to visualize data point using interactive charts. Designed data visualization to present current impact and growth.
• Utilized Python libraries such as numpy, pandas and matplotlib to read data from csv files aggregate and update data.
• Writing modules in Python to connect to MongoDB with PyMongo and doing CRUD operations with MongoDB.
• Implemented code to perform CURD operations on Mongo DB using MongoDB module.
• Used SQL and MongoDB (NoSQL) to identify and troubleshot campaign errors.
• Alchemy in the backend for management of data center resources on which OpenStack would be deployed.
• Built the Web API on top of Flask framework to perform REST methods. Developed database migrations using SQLAlchemy Migration.