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Click here or scroll down to respond to this candidateCandidate's Name
Sr. Python developerPhone: PHONE NUMBER AVAILABLEEmail: EMAIL AVAILABLELinkedIn: LINKEDIN LINK AVAILABLEPROFESSIONAL SUMMARY:I have around 10 years of experience in developing and designing Web Based, Multi-tier, High quality and secure distributed applications using the latest analytical programming Python, Django, Machine Learning, React, J2EE and spring technologies.Experience object-oriented programming (OOP) concepts using Python.Strong knowledge of designing, deploying, and operating highly available, scalable and fault tolerant systems using Amazon Web Services (AWS) and Azure.Experienced in managing AWS VPC, EC2, and S3, including the creation of multiple VPCs and subnets to meet specific requirementsHands on Experience in AWS like Amazon Redshift, Amazon EMR and Amazon SQS, glue, Athena, lambda, etc.Developed and maintained AWS serverless code using Node.js, including Lambda, API Gateway, and CloudFormation.Knowledgeable in web applications development using Django/Python, Flask/Python, jQuery, HTML5, CSS3, and Bootstrap for server-side rendered applications. Experience AWS services (Lambda, Kubernetes, S3, SQS, RDS, EC2, ELB, ECS, Dynamo DB), Terraform, and Git for source control.Experienced in developing web-based applications using Flask, FastAPI, Vue.js, React.js, CSS3, and HTML5.Good experience of software development in Python (CSS DataFrame, SQL Alchemy, Pytest, API, urllib2, MySQL Connector, PyMySQL for database connectivity).Strong command in Java Script leading Frameworks Team like Angular.js, React.js, backbone.js, bootstrap.js, Node.JS.Experience with ORM's such as Django and SQLAlchemy, database design and normalization. Proficient skills of using PyUnit, Pytest for writing unit test cases.Experienced in Python's modules NumPy, and Matplotlib for generating complex graphical data, creating histograms, etc.Experience with Report lab, NumPy, Matplotlib, HTTPLib2, Urllib2 and Pandas python libraries during development lifecycle.Proficient in containerization using Docker, facilitating the packaging and deployment of Python applications and micro services in isolated environments.Extensive experience in Kubernetes orchestration, deploying and managing containerized Python applications at scale in production environments.Experienced in developing PySpark and Scala applications for interactive analysis, batch processing, and stream processing.Experienced in developing PySpark and Scala applications for interactive analysis, batch processing, and stream processing.Experience in working with tools like Attunity and having knowledge on ETL tools like Talend and wrote Python modules to view and connect the Apache Cassandra instance.Good experience in developing web applications and implementing Model View Control (MVC) architecture using server-side applications like Django, Flask, and Pyramid.Proficient in writing SQL Queries, Stored procedures, functions, packages, tables, views, and triggers using relational databases like Oracle and MySQL.Hands-on experience in working with Python ORM libraries including Django ORM, and SQL Alchemy.Experienced in using Datadog for monitoring logs, dashboards, and metrics.Good knowledge of web services with protocols SOAP and REST.Having experience in Agile Methodologies, Scrum stories and sprints experience in a Python based environment, along with data analytics, data wrangling and Excel data extracts.TECHNICAL SKILLS:Programming LanguagesPython, TypeScript, SQL, Bash scripting, RubyFrameworksDjango, Flask, Pyramid, FastAPIWeb DevelopmentHTML5, CSS3, JavaScript, Angular.js, vue.js, React.js, XML, Bootstrap3, AJAXDatabasesOracle, MYSQL, PostgreSQL, SQLite, MongoDB, RedisTesting ToolsPytest, unittest, CucumberCI/CD ToolsJenkins, GitLab, Chef, Puppet, Ansible, Docker, Kubernetes, Cloud FormationWeb ServersWebLogic, Apache Tomcat, NginxVersion ControlGIT, GITHUBCloud ManagementAmazon web services (EC2, EMR, S3, RDS, Redshift, Athena, Glue, Lambda, Kinesis), Azure(Databricks, Data Lake, Data Factory)Development Tools/IDESublime Text, JetBrains, PyCharm, Visual Studio Code, ATOM, Tableau, Power BIMonitoring ToolsSplunk, CloudWatch, Data Dog, Stream AlertPackage Manager ToolsPip, Pipenv, yarn, npmOperating SystemsWindows, Linux, Unix, MacOSMethodologiesAgile, Scrum, WaterfallPROFESSIONAL EXPERIENCE:Ally Bank, Charlotte, NC Jan 2023 PresentSr. Python DeveloperAs a Senior Python Developer at Ally Bank, I played a pivotal role in enhancing the "Debt Manager" application, a critical system used to manage and maintain data related to bank account debts and the forwarding of accounts to collection agencies. This project aims to optimize data handling processes, improve data accuracy, and enhance the efficiency of debt management operations.Responsibilities:Designed and developed RESTful APIs for online banking services using Django REST Framework, facilitating secure account management, transaction processing, and customer authentication.Orchestrated AWS services such as Lambda, Step Functions, Redshift, Athena, Glue, EMR, EC2, S3, SQS, SNS, RDS, Boto3, Dynamo DB, Step Functions, EKS, Secrets Manager, Systems Manager, Glue, IAM, VPC to architect, develop, and deploy scalable solutions.Developed functions and lambda functions to encapsulate business logic and perform repetitive tasks efficiently.Designed and implemented classes, objects, and inheritance hierarchies to model banking entities and facilitate code reuse and maintainability.Implemented OOP Design Principles like inheritance, abstraction, polymorphism, and encapsulation to make extensible, maintainable, and reusable code using Python Django.Converted backend logic from architectural designs into functional microservices and APIs for web and mobile applicationsPerformed debugging and optimization of AWS cloud modules, ensuring high performance and reliability.Processed data using data structures like Iterators, Generators, List Comprehension, Dictionary Comprehension, and Generator Expressions.Implemented exception handling mechanisms to handle errors gracefully and ensure uninterrupted execution of banking processes.Utilized various data types including integers, floats, strings, lists, tuples, dictionaries, and sets for efficient data storage and manipulation.Implemented data cleaning and preprocessing tasks using Pandas and NumPy, handling missing values, outliers, and data inconsistencies to ensure data quality and integrity.Designed, developed, and maintained APIs using Python and GraphQL to facilitate efficient data exchange between applications and services.Implemented GraphQL schemas, resolvers, and mutations to streamline data retrieval and manipulation processes, enhancing API performance and flexibility.Set up and maintained data pipeline workflows in Apache Airflow to automate and orchestrate complex data processing tasks.Configured Airflow DAGs (Directed Acyclic Graphs) to schedule, monitor, and manage data workflows, ensuring reliable and timely execution of ETL processes.Designed and implemented infrastructure deployments using Terraform to provision and manage cloud resources in Kubernetes environments.Defined Terraform configurations to deploy and configure Kubernetes clusters, containers, and associated infrastructure components.Optimized the website performance using Angular on the front end for designing a dynamic Single Page Application with front end technologies like HTML, CSS, Bootstrap, JavaScript, and TypeScript.Created Django models from existing databases, added new models and built-in ORM to map models to MySQL Database tables.Used Django Rest Framework to send APIs between the back and Front end.Used JSON Web Tokens (JWT) to secure passing data between front and back end.Used Django sessions to store the state of the app to allow reusable user interactions.Set up monitoring and logging solutions like Prometheus and Elastic search within Kubernetes clusters, enabling proactive monitoring and troubleshooting of Python applications.Configured various performance metrics using AWS Cloud watch & Cloud Trial and Lambda services for automating the functionality on the Cloud.Authored Cloud Formation templates in YAML or JSON format to define the architecture, configuration, and dependencies of Elastic Beanstalk environments, including EC2 instances, security groups, IAM roles, load balancers, and other resources.Managed Docker images using Docker Hub and other container registries, ensuring secure storage and distribution of Python application containers.Employed AWS Lambda for serverless computing, implementing event-driven functions for real-time data processing and optimizing resource utilization.Utilized Step Functions for orchestration of serverless workflows, streamlining complex processes and improving operational efficiency.Created AMIs for mission critical production servers for backup and maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, DynamoDB, SES, SQS and SNS services in AWS cloud.Managed multiple Elastic Beanstalk environments for different stages of the application lifecycle (e.g., development, testing, production), utilizing environment cloning and blue-green deployments to minimize downtime and risk during updates and rollbacks.Developed and maintained PostgreSQL databases to store, retrieve, and manipulate structured data for various applications and services.Implemented database backup and recovery strategies to safeguard critical data and ensure disaster recovery readiness.Built a new CI pipeline and performed testing and deployment automation with Docker, Jenkins, and Puppet.Documented pytest test cases and results to demonstrate compliance with regulatory mandates and facilitate auditing processes.Utilized Agile process and JIRA issue management to track sprint cycles.Environment: Python, PyCharm, VS Code, Django, Airflow, PostgreSQL, GraphQL, Angular, GitHub, AWS, GIT, CI/CD, RESTful, Unix and Linux, NumPy, PHP, AWS, Pandas, Docker, Kubernetes.Express Scripts, NJ Sep 2020 to Dec 2022Python DeveloperAs a Python Developer involved in the migration project, I performed code optimization and compatibility checks to ensure a successful and efficient transition. Through collaboration, meticulous planning, and meticulous execution, the project aims to achieve a seamless migration while maintaining the integrity and functionality of the system/application.Responsibilities:Built database Model, APIs and Views utilizing Python, to build an interactive web-based solution.Developed custom data processing pipelines using Pandas and NumPy, incorporating data transformation, feature engineering, and normalization techniques to prepare data for machine learning models.Set up Python REST API framework using Django.Developing data processing tasks using PySpark such as reading data from external sources, merging data, performing data enrichment, and loading in to target data destinations.Implemented data ingestion pipelines using AWS Glue for automated ETL processes, enabling seamless extraction, transformation, and loading of data into target data lakes or warehouses.Implemented Docker containers to create images of the applications and dynamically provision slaves to Jenkins CI/CD pipelines.Developed multi-threaded standalone app in Python, to view Circuit parameters and performance.Set up monitoring and logging solutions for Elastic Beanstalk environments using AWS CloudWatch, configuring custom metrics, alarms, and log streams to track application performance, detect anomalies, and troubleshoot issues in real-time.Handled development and management of front-end user interfaces with the help of HTML, CSS, JQuery and JavaScript.Used EC2 Container Service (ECS) to support Docker containers to easily run applications on a managed cluster of Amazons EC2 instances.Develop consumer-based features and applications using Django, HTML, Python Behavior Driven Development (BDD) and pair-based programming.Used celery scheduler to places the file into tables from AWS-S3.Worked with View Sets in Django-REST framework for providing web services and consumed web services performing CRUD operations.Developed Scala functional programs for streaming data and gathered JSON and XML data and passed to Flume.CMS application was an internal application, used by subject matter experts (SME) for curation of data for accuracy.CMS involved ingesting data from heterogeneous sources, producing directly renderable data as a RESTful service.Used Python and Django to interface with the jQuery UI and manage the storage and deletion of content.Developed and implemented core Fast API services using Python.Created the Splunk dashboard for run time errors directed from AWS cloud using kinesis.Implemented centralized logging using Elastic Search, Log Stash and Kibana (ELK). Added Redis in between client and server log stash nodes for caching/persistence to enable real-time online updates to the log stash configuration.Documented technical details, conducted thorough code reviews, and utilized version control systems such as Git and Bitbucket.Managed SQL and NoSQL databases, including MySQL and MongoDB, to support application data needs.Involved in development of Python based Web Services using REST for sending and getting data from the external interface in the JSON format and to track sales and perform sales analysis using Django and PostgreSQL.Working on AWS services (S3, EC2) and deployment services (Lambda) and RDS, DynamoDB (NoSQL), Beanstalk, SQS and Jenkins CICD.Used Autosys and Move IT tools to place the file from on premises to AWS-S3 buckets.Used AWS Athena to query the data on top s3 bucket (files in inbound) which helps the businesspeople for data analysis.Configured Docker networking and volumes to facilitate communication between containers and persist data for Python applications.Integrated Kubernetes into CI/CD pipelines, automating the deployment and scaling of Python applications and ensuring rapid delivery of features and updates.Involved in creating Data driven test framework for end-to-end Functional testing of web application using Selenium Webdriver and Pytest.Generated Python Django forms to record data of online users and used Pytest for writing testcases.Environment: Python, Django, HTML, CSS, JavaScript, AJAX, MySQL, MVC, JIRA, Angular.JS, JQuery, IntelliJ, SQLite, SQL Server, Haystack, Virtualenv, GIT, CI/CD, RESTful, Unix and Linux, Numpy, PHP, AWS, Pandas.USAA, Plano, TX May 2017 to Aug 2020Full Stack Python DeveloperWorked on an Insurance project which involves developing and enhancing online platforms, mobile applications, and digital tools to provide a seamless and convenient experience for members to access insurance services, file claims, manage policies, personalized insurance offerings, customer service improvements, and tailored insurance products that cater specifically to the customer.Responsibilities:Developed test scripts using python and PostgreSQL for data validation.Written the python scripts to load the data into the tables (Data Injection).Written the jil scripts to AutoSys jobs and scheduled jobs on every business day.Written PostgreSQL sequels according to the business transformations to place the data into respective tables.Actively involved in developing the methods for Create, Read, Update and Delete (CRUD) in Active Records.Developed entire frontend and backend modules using Python on Django Web Framework by implementing MVC architecture.Performed different testing methods like Unit testing, Integration testing, web application testing and experienced in migrate an On-premises VM or Azure Classic VM to Azure ARM Subscription with Azure Site RecoveryUtilized ASR (Azure Site Recovery), PowerShell and MVMC (Microsoft Virtual Machine Convertor) for on-premises cloud migrations and wrote Python modules to view and connect the Apache Cassandra instance.Worked on optimizing and memory management of the ETL services.Developed Splunk Queries and dashboards for debugging the logs generated by the ETL and the REST services.Used Pandas API to put the data as time series and tabular format for east timestamp data manipulation and retrieval and worked on various Java Script libraries and frameworks - ReactJS, jQuery, Lodash etc.Deployed Django web application in Apache webserver and Carpathia cloud web deployment.Installed Kafka manager for consumer lags and for monitoring Kafka metrics also this has been used for adding topics, Partitions etc.Worked on MongoDB database concepts such as locking, transactions, indexes, Sharding, replication, schema design.Managed datasets using Panda data frames and MySQL, queried MYSQL database queries from python using Python-MySQL connector and MySQL dB package to retrieve information.Recorded the online users' data using Python Django forms and implemented test case using Pytest.Environment: Python, Django, CSS, HTML, JavaScript, AJAX, MYSQL, Restful API's, NumPy, SCRUM, Agile, Puppet, MongoDB GIT, ETL, Azure Cloud, Boto3, chef.Web trace Software Solution Pvt. Ltd, India Apr 2014 to Apr 2017Software EngineerThe project focuses on modernizing and migrating legacy core banking systems within the financial domain to improve performance, scalability, and overall efficiency. This initiative aims to transition from legacy infrastructure to more agile, scalable, and technologically advanced platforms, ensuring seamless operations and enhanced customer experiences.Responsibilities:Gathered and analyzed the requirements and converted them into User Requirement Specifications and Functional Requirement Specifications for the designers and developers to understand them as per their perspective.Worked on object-oriented programming (OOP) concepts using Python and Linux.Developed front end using Angular.js, React.JS, Node.js, bootstrap.js, backbone.js, JavaScript, where back end is java with REST web service.Created a Rich Single Page Application using HTML, CSS, JSP, JSON, Angular.js, React.js, Node.js, bootstrap.js, backbone.jsWorked with JSON based REST Web services and Amazon Web Services (AWS).Added support for Amazon AWS and RDS to host static/media files and the database into Amazon Cloud.Wrote Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on MySQL and PostgreSQL database.Worked on optimizing and memory management of the ETL applications developed in python and reusing the existing code blocks for better performance.Developed frontend and backend modules using Python on Django Web Framework with GIT.Worked on implementing Spark Framework, a Java based Web Framework. I worked and learned a great deal from AWS cloud services like EC2, S3.Build controlled (MobX) and uncontrolled shared custom components with React and Typescript.Successfully migrated the Django database from MySQL Workbench to PostgreSQL with complete data integrity.Worked in Agile and waterfall methodologies with high quality deliverables delivered on-time.Worked on continuous integration and automation using Jenkins.Worked on Unit testing/ Test driven Development (TDD), Load Testing.Developed the required XML Schema documents and implemented the framework for parsing XML documents.Environment: Python, PyQuery, MySQL, HTML, CSS, Ajax, Web Services (SOAP), XML, PL/SQL, and Oracle SQL DeveloperEDUCATION:Bachelor of Technology (B.Tech.) - Computer Science Engineering Aug 2010 - May 2014 |
