Sam George Email & Phone Number
Who is Sam George? Overview
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Sam George is listed as Sr. AI and ML Engineer at Morgan Stanley, a with 94640 employees, based in Los Angeles Metropolitan Area, United States. AeroLeads shows a matched LinkedIn profile for Sam George.
Sam George previously worked as Sr. Python Developer at Bank Of America and Sr Python AWS Developer at 7-Eleven. Sam George holds Master Of Science - Ms from Bentley University.
Email format at Morgan Stanley
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About Sam George
• Experienced in developing Web Services with Python programming language - implementing JSON based RESTful and XML based SOAP webservices.• Experience in implementing with server-side technologies with restful API and MVC design patterns with node JS and Django framework. • Experienced in NoSQL technologies like MongoDB, Cassandra, DynamoDB and relational databases like Oracle, SQLite, PostgreSQL, Dynamo DB and MySQL databases.• Good experience using various Python libraries to speed up development (Beautiful Soup, NumPy, SciPy, Matplotlib, python-twitter, Pandas data frame, network, Pickle, Pyside, urllib2, MySQL dB for database connectivity, JSON libraries).• Strong Experience in Big data technologies including Apache Spark, Hadoop, HDFS, Hive, Cassandra & MongoDB.Technical Skills-• Frameworks: Django, Flask, TurboGears, Web2py, Open stack, Celery & Anaconda• Databases: MongoDB, Cassandra, DynamoDB, Oracle, SQLite, PostgreSQL, SQL Server & MySQL databases.• JavaScript Frameworks: Node.js, jQuery, React.js, Bootstrap, Ember.js, AngularJS • Hosting: AWS, Rackspace, Linux (Red Hat, Ubuntu, CentOS) • API Integration: JSON, REST, XML, SOAP • Source Control: GitHub, Bitbucket, CVS, Eclipse, SVN • Deployment: Docker, Jenkins, Kubernetes, Puppet• IDE: Eclipse, PyCharm, PyScripter, Spyder, PyStudio and PyDev.• Libraries- Beautiful Soup, NumPy, SciPy, matplotlib, Jupiter, Pickle, PySide, Pandas data frame, networkx, urllib2, Pychart.• Cloud Computing Platforms: Amazon Web Services (AWS), Cloud Foundry, Puppet, Chef, AWS Cloud Formation, AWS CloudFront, Azure, Google Cloud Platform GCP• Web Services - AWS, rest API, rest Full Web Services (FWS), SOAP API, SOA, Amazon EC2, amazon S3, AWS Elastic Beanstalk (EBS), RDS, elastic load balancing, amazon SQS, AWS identity, AWS cloud, jQuery, cloud front, AWS CloudWatch, CI/CD Integration: Jenkins, CI, CD, bamboo, JIRA, bitbucket.• Linux Versions: Hypervisors: Ubuntu, Red Hat, CentOS VM Ware, KVM, Hyper-V • PaaS: Cloud Foundry, AWS Beanstalk.
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Sam George work experience
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Sr. Python Developer
• Developed Consumer-based custom features and applications using Python, Kubernetes, Docker, ajax, Cassandra, Django, MongoDB, Matplotlib, AWS and HTML. • Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.• Used python for end to end processing of documents with Spark Streaming, Kafka RPC framework and AWS.• Implemented a Continuous Delivery pipeline with Docker, Jenkins, GitHub and AWS AMI's, also worked on creating the Docker containers and Docker consoles for managing the application life cycle.• Developed Puppet modules and role/profiles for installation and configuration of software for required for various applications/blueprints.• Created API’s to consume data from REST endpoints and cleansing the data and store it in database.• Used Spark for streaming APIs to perform transformations and actions on the fly for building the common learner data model which gets the data from Kafka in near real time and persists into Cassandra.• Developed the database schemas using MySQL, SQLAlchemy and wrote several queries and python API’s to extract data from database.• Managed the Docker container through the pods and performing the load balance between the pods through Kubernetes.• Used Kubernetes to deploy scale, load balance, and worked on Docker Engine, Docker HUB, Docker Images.• Setup Puppet Master, client and wrote scripts to deploy applications on Dev, QA, production environment.• Designed and developed web crawler in python using Scrappy framework and using RabbitMQ as a messaging server between the micro services.• Provisioned multiple EC2 instances in R2 pipeline to boost the performance of the environment using Terraform and update instance to m4.large in AWS-EC2. • Used NumPy along with Pandas for computing min, max and mean broadcasting signal levels. Developed server-based web traffic statistical analysis tool using Django, Pandas.
Sr Python Aws Developer
• Designed and managed API system deployment using fast HTTP server and Amazon AWS architecture & Setup database in AWS using RDS and configuring backups for S3 bucket.• Experience in setting up Elastic Load Balancers (ELB's) and Auto Scaling groups on Production EC2 Instances to build Fault-Tolerant and High Availability applications.• Used GitHub repository to submit code changes & for source code version control and deploying in AWS Lambda.• Coded the integration test cases for testing the working of each method, interface and function in the Skill Intent handler package.• Configured single-node Redis cache and supported scripts for multi-node cache architecture. Created a shell script to automate the job of cloning and timely updating the GIT repositories.• Used Python and Django creating graphics, XML processing, data exchange and business logic implementation & Utilized PyUnit, the Python unit test framework, for all Python applications.• Designed and maintained databases using Python and developed Python-based API (RESTful Web Service) using Flask, SQL Alchemy, and PostgreSQL.• Used Apache Kafka (Message Queues) for reliable and asynchronous exchange of important information between multiple business applications.• Received business logic specifications and design documents, and painted HTML using CSS and business logic in Angular and JavaScript.• Worked on writing complex Spark-Scala scripts, Spark context, Cassandra SQL context, used multiple API's, methods which support data frames, RDD's, Cassandra table joins and finally write/save the data frames/RDD's to Cassandra database.• Used Celery as task queue and RabbitMQ, Redis as messaging broker to execute asynchronous tasks.• Analyzed the SQL scripts and designed solutions to implement using pyspark. Also created custom new columns depending up on the use case while ingesting the data into Hadoop lake using pyspark.
Python Developer
• Developed Microservices, and creating API's using Java Spring Boot framework using Maven as a build tool and Cassandra as an enterprise level database.• Used Test driven (TDD) approach for developing the application and Implemented the unit tests using Python PyTest Framework.• Generated Python Django forms to record data of online users and used Py-test for writing test cases.• Performed debugging, testing, maintaining and deploying the application.• Developed RESTful Web Services for getting and sending data from the external interface in the JSON format.• Created Jenkins build and deployment pipeline jobs to deploy the docker images into AWS ECR repositories and integrated with GITHUB.• Responsible for configuring NoSQL databases like Apache Cassandra and Mongo DB to for increasing compatibility with Django.• Developed Python scripts to monitor health of MongoDB and performed-hoc backups using Mongo dump and Mongo restore.• Implemented continuous integration using Jenkins and involved in the deployment of application with Ansible automation engine.• Imported required tables RDBMS to HDFS using Sqoop & also used Storm and Kafka to get real time streaming of data into HBase. • Developed Docker container based micro services using Spring Boot/Cloud and deployment on Kubernetes cluster & a fully automated continuous integration system using Git, SQL Server and custom tools developed in Python and Bash.• Developed Sqoop scripts to handle change data capture for processing incremental records between new arrived and existing data in RDBMS tables. • 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. • Added support for Amazon AWS S3 and RDS to host static/media files and the database into Amazon Cloud.• Implemented AWS high availability using AWS Elastic Load Balancing (ELB), which performed balance across instances.
Python/Django Developer
• Designed and developed Application based on the Django MVC Framework using MVC design pattern. Developed the REST API using Django for fetching the data from NoSQL MongoDB database.• Used Angular JS framework for single page applications and validating the client-side user information based on their business rules.• Developed new RESTful API services that work as a middleware between our application and third-party APIs that we will used using Golang.• Implemented new projects with Golang building framework using Jenkins & Maven as build framework tools.• Developed Golang API and chat-bot using TDD to automate software deployments & Developed Golang based web services on AWS.• Designed and managed API system deployment using fast http server and Amazon AWS architecture.• Implemented AWS solutions using E2C, S3, RDS, EBS, Elastic Load Balancer, Auto-scaling groups. Implemented AWS client API to interact with different services as Console configuration for AWS EC2. • Wrote Python, Golang and Linux shell scripts to streamline the data analysis, algorithm development, and model optimization workflows.• Worked on container Services (AKS) for deploying CI/CD pipelines integrated with Git, Jenkins and Docker for micro services-based applications. • Created MySQL queue using AWS SNS, SQS, and Golang (Go), to concurrently process SQL queries in the background and Built a Golang web server to host multiple tools so another has http access to them.• Wrote Python modules to view and connect the Apache Cassandra instance. Developed PySpark code using Python and Spark-SQL for faster testing and data processing.• Responsible for Configuring Kafka Consumer and Producer metrics to visualize the Kafka System performance and monitoring.• Implemented and executed code to perform CRUD operations on MongoDB using Pymongo module.• Installed and configured Hadoop MapReduce, HDFS, Developed multiple MapReduce jobs in java for data cleaning and pre-processing.
Python Developer
• Developed views and templates with Python and Django view controller and templating language to create a user-friendly website interface.• Used AWS Cloud Watch to monitor and store logging information. Created scripts for data modelling and data import and export.• Design and implemented custom Bash scripts for controlling the data flow from the PostgreSQL database.• Wrote REST APIs, as part of developing web-based applications for customer feedback and complaints calculations, using Django's REST framework.• Developed multi-threaded standalone app in Python to view performance. Performed various Parsing technique's using PySpark API'S to cleanse the data from Kafka.• Created an automated cloud image creation process using packer, git, server spec and some bash/python scripting.• Involved in writing automation scripts using Python-Selenium to test the functionality of the web pages and wrote Socket programming scripts to bridge communication in between Client-Server.• Wrote unit testing codes using unit test, resolving bugs and other defects using Firebug. Carried out various mathematical operations for calculation purpose using Python libraries NumPy. • Developed packages to move large amount of data to report database using partition exchange, data loading using oracle SQL Loader scripts to load data and loaded data from a single flat file to multiple tables. • Extensively worked on Database using MySQL, Strong back end designing and written extensive backend code on the server-side using PL/SQL, including packaged procedures, functions, and SQL*PLUS.• Developed API using Hibernate to interact with the MySQL database also created distributed MySQL coherence domains, configuration and system design based on oracle coherence. • Used the REST Templates in the spring services to call the REST web services. Consumed SOAP and Restful web services for communicating with other applications.
Associate Software Engineer
• Managed large datasets using Pandas API ecosystem to analyze the different segments of customers based on Location. Used Apache Kafka cluster as messaging system between the APIs and Microservices.• Provisioning the AWS EC2 servers by assigning the EBS volumes, auto scaling groups, load balancers, security groups in the defined VPC (Virtual Private Cloud). • Designed and developed functionality to get JSON document from MongoDB document store and send it to the client using RESTful web service.• Developed remote integration with third party platforms by using RESTful web services. • Implemented business logic, data exchange, XML processing and created graphics using Python and Django. • Used Python and Django to interface with the jQuery UI and manage the storage and deletion of content. Used Django Database API's to access database objects. Developed restful Web-services using Django Rest framework in Python. • Developed web services using Restful technology to support JSON and XML. Implemented RESTful Web Services for the data transportation between multiple systems. • Wrote Python code embedded with JSON and XML to produce HTTP GET request, parsing HTML data from websites & to simplify lists in Python with list comprehension and Python OOP. Worked with POSTMAN for API testing. Developed REST APIs and created User Model for application. • Worked on implementing REST API's in Python using micro-framework like Flask with SQL Alchemy.• Maintained multiple copies of data in different database servers using MongoDB Replication concept. Successfully migrated the Django database from SQLite to MongoDB with complete data integrity. • Wrote Python scripts to parse JSON documents and load the data in database. Configured AWS RDS Aurora database users to allow each individual user privileges to perform their related tasks. • Created an automation unit and regression testing suites for the Rest API and batch jobs using Junit and TestNG.
Colleagues at Morgan Stanley
Other employees you can reach at morganstanley.com. View company contacts for 94640 employees →
Tracy Cairoli, Cima, Crpc
Colleague at Morgan StanleyNew York, United States
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Jash Oza
Colleague at Morgan StanleyMumbai, Maharashtra, India
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Sarah Kopp
Colleague at Morgan StanleyDenver, Colorado, United States
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Andrew Unkenholz
Colleague at Morgan StanleyUnited States
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RD
Ryan Daly
Colleague at Morgan StanleyNew York, United States
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EG
Elena Grinvald
Colleague at Morgan StanleyBrooklyn, New York, United States
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ID
Isabella Diniz
Colleague at Morgan StanleySão Paulo, Brazil
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MM
Mahamed Makhtal
Colleague at Morgan StanleyGreater Kassel Area, Germany
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DC
Debra Charish Kamen
Colleague at Morgan StanleyNew York, United States
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MH
Merita Hasanaj
Colleague at Morgan StanleyNew York City Metropolitan Area, United States
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Sam George education
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Bentley University
Frequently asked questions about Sam George
Quick answers generated from the profile data available on this page.
What company does Sam George work for?
Sam George works for Morgan Stanley.
What is Sam George's role at Morgan Stanley?
Sam George is listed as Sr. AI and ML Engineer at Morgan Stanley.
Where is Sam George based?
Sam George is based in Los Angeles Metropolitan Area, United States while working with Morgan Stanley.
What companies has Sam George worked for?
Sam George has worked for Morgan Stanley, Bank Of America, 7-Eleven, Fidelity Investments, and Deerwalk Inc..
Who are Sam George's colleagues at Morgan Stanley?
Sam George's colleagues at Morgan Stanley include Tracy Cairoli, Cima, Crpc, Jash Oza, Sarah Kopp, Andrew Unkenholz, and Ryan Daly.
How can I contact Sam George?
You can use AeroLeads to view verified contact signals for Sam George at Morgan Stanley, including work email, phone, and LinkedIn data when available.
What schools did Sam George attend?
Sam George holds Master Of Science - Ms from Bentley University.
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