Python Developer Full-Stack Web

ABHISHEK

Email: *************@*****.***

Phone:**0-455(6047)

LinkedIn: linkedin.com/in/abhijain22

Python Developer

PROFESSIONAL SUMMARY:

. Over 7+ years of IT experience in design, development, testing and

implementation of various stand-alone and client-server architecture-

based enterprise application software using various technologies,

analyzing complex business requirements & mapping them to system

specifications.

. Experienced in working with various Python Frameworks Django, Flask,

Web2py

. Good experience in developing web applications implementing Model

Template View architecture using Django web application frameworks

Extended internal data models and schemas using SQLAlchemy, Alembic, and

Django ORM to support complex business relationships.

. Applied Factory pattern, and middleware in Flask to create scalable,

modular, and observable services.

. Developed full-stack web modules using Django's MTV architecture,

integrated with Kafka, Celery, and Redis/RabbitMQ.

. Implemented JWT-based authentication, role-based access control, and

secure API endpoints.

. Proficient in SQL (PostgreSQL, MySQL, Oracle) and NoSQL (MongoDB) for

building robust backend data workflows.

. Experience deploying containerized applications on Kubernetes with Docker

and CI/CD pipelines.

. Collaborated cross-functionally in Agile/Scrum teams; strong communicator

in both technical and business contexts.

. Expertise with cloud platforms like GCP - BigQuery, BigTable, Compute

Instance, Google Dataflow and DataProc

. Experience in developing applications using amazon web services like EC2,

Cloud Search, Elastic Load balancer ELB, S3, Cloud Front, Route 53.

. Experienced in NoSQL technologies like MongoDB, Couch DB Cassandra, Redis

and relational databases like Oracle, SQLite, PostgreSQL and MySQL

databases.

. I have excellent knowledge of python collections and multi-threading.

. Proficient in writing unit testing code using Unit Test/PyTest and

integrating the test code with the build process.

. Well versed with Agile with SCRUM, Waterfall Model and Test-driven

development methodologies.

. Most of the applications were developed with Python, Django, and

PostgreSQL using JIRA (Agile) methodology.

. Experience on web development using HTML4/5 CSS/CSS3, Java Script,

JQUERRY, Angular Js, Ajax, Bootstrap.

TECHNICAL SKILLS:

Operating systems MAC, Windows, Linux, UNIX

Languages Python 3.x/2.x, Java, C, C++

Scripting CSS, AJAX, Java Script, JQuery, PHP, Shell

languages Scripting, GraphQL

Machine Learning MVC3 LLM(Working Proficiency), Decision trees, SVM,

Ensembles - Random Forest, Gradient Boosting), Deep

Learning - Neural Networks, Dimensionality

Reduction, PCA

Markup languages HTML, XML, JSON, Bootstrap

Servers Tomcat, Netty, RESTful web services

Databases Oracle, My SQL, Postgres, Apache Cassandra, MongoDB.

IDEs/ Tools Eclipse, Sublime text, Pycharm, SQLite,

Revision CVS, GitHub

Controlling

Systems

Methodologies & Object Oriented Programming, UML, Agile Scrum,

tools Backend development, RESTful API design,

Microservices architecture, Version control (Git),

Software engineering principles, Testing frameworks,

Docker

EDUCATION

The University of Texas at Arlington (MS in CS)

May 2017

University of Pune, India (BE in CSE)

June 2014

WORK EXPERIENCE

GSTi, Orlando - FL

April 2025 - Present

Role: Sr Python Software Developer

Responsibilities:

. Responsible for gathering requirements, system analysis, design and

development.

. Developed Python/Django application for Google Analytics aggregation and

reporting.

. Experienced in working with various Python IDE's using PyCharm and

Sublime Text.

. Developed and designed automation framework using Python and Shell

scripting.

. Continuous Integration/Continuous Deployment using Jenkins.

. Using Asure SQL data for storing the Data

The Home Depot, Atlanta- GA

Feb 2020 - July 2024

Role: Sr Software Developer/Lead

Responsibilities:

. As Part of Recommendation Platform Team, we collaborate with PMs, Data

science teams, Principal Engineer to maintain (adding or enhance

features) to support home depot's Tool called Symphony. Symphony takes

the configuration from PMs and provides model serving endpoint to host

the ML models on homedepot.com.

. Support backend infrastructure of orange tree (in-house cloud

orchestration tool) which let user build workflow/pipeline (similar to

airflow) and provide user drag-drop feature to invoke the google cloud

components like dataflow, Dataproc, running SQL query or shell script

etc. (similar to Airflow). Backend schedulers pick up the workflow based

on corn job and trigger the pipeline. Multiple workflows can be connected

using Google Publisher-Subscriber model.

. Work with the Data Science team to make python scripts production ready

using Flask.

. Developed lightweight microservices using Flask and Flask-RESTful to

handle high-throughput APIs for internal tools and ETL triggers.

. Implemented OAuth2 and JWT-based authentication in a Flask API gateway

serving multiple client apps.

. Used SQLAlchemy and Alembic for database schema migrations, performance

tuning, and integration with PostgreSQL.

. Added observability using Prometheus and Grafana with custom metrics

pushed via middleware in Flask apps.

. Create Data Pipelines and also convert complex big query SQL queries to

Python using PySpark to process large amount of data using

Dataproc/dataflow (Google cloud).

. Exposure on multi-threading factory to distribute learning process back-

testing and into various worker processes.

. Managed, developed, and designed a dashboard control panel for customers

and Administrators using Django, Oracle DB, PostgreSQL and REST API

calls.

. Creating data cleaning and data post-processing pipelines based on Gold

layer of Medallion architecture.

. Storing the cleaned data into Azure blob store for staging and storing at

intermediate steps for further processing the data.

. Using Asure CosmoDB for storing the product recommendations.

. Worked on POC for LLM, to develop a chatbot used one-shot and few shot

learning using Chatgpt, FiassDB and RAG to answer the commenly asked

question regarding product using the product description and comments for

that product.

. Developed a fully automated continuous integration system using Git,

Gerrit, Jenkins, MySQL and custom tools developed in Python and Bash.

Environment: Python, MySQL, Django, PySpark, GCP, Azure Cloud, Cassandra,

Flask, PHP, Kafka, XML, Linux, HTML, Java script, GCP - Big Query,

BigTable, Compute Instance, Google Dataflow and DataProc

JPMorgan Chase, New York- NY

Oct 2018 - Nov 2019

Role: Quant/Sr Python Developer

Responsibilities:

. Enhancement and enriching the incoming trade data to generate coming from

different regions to generate reconciliation report at the end of the

day.

. Adding new feature to the platform to onboarding JPMC's new internal

trading venue Athena (JPMC's trading platform) was built on top of python

and stores data and python code as object to keep it resilient and

available.

. Build AI annotation tool to automate Trust document and Forms for Asset

and Wealth Management (LOB - Line of Business) to using Natural Language

processing and Image processing (OCR - Optical character recognition)

. Involved in analysis and design of the application features.

. We leverage Flask to host the NLP endpoint which took OCR's extracted

text as input and return the extracted entities as output Extended the

internal data model and schema to support new entity types and

relationships (e.g., trust beneficiaries, legal terms, asset

classifications); used SQLAlchemy ORM with Alembic for migrations.

. Integrated middleware for request logging, response metrics, and error

tracking, aiding in observability and debugging.

. Employed JWT-based auth middleware to secure internal endpoints;

supported token validation and permission-based access.

. Collaborated with DevOps to containerize the service with Docker and

deploy to Kubernetes with health checks and auto-restart strategies for

fault tolerance.

. Developed entire frontend and backend modules using Python, Kafka on

Django Web Framework.

. Participated in requirement gathering and worked closely with the

architect in designing and modeling.

. Used Celery as task queue and Rabbit MQ, Redis as messaging broker to

execute asynchronous tasks.

. Improved code reuse and performance by making effective use of various

design patterns and refactoring code base.

. Performed data modelling and data manipulation using SQL on Oracle,

MySQL, and PostgreSQL

. Involved in SDLC methodologies like AGILE and SCRUM Process.

. Presented this project during JPMC's Tech innovation week.

Environment: Python3.2, SpaCy, NLTK, MySQL, HTML, PySpark, Django, Kafka,

Flask, HTML5, CSS, XML, MySQL, JavaScript, AWS, Linux, Shell Scripting,

PHP, AJAX, Cassandra.

Anthem, Atlanta- GA

Jun 2018 - Sep 2018

Role: Data Analyst, Python/ PySpark

Responsibilities:

. Created entire application using Python, Django, Sqlite3 and Linux and

provided expertise in FIX protocol development, socket programming, SQL

and messaging infrastructure to accomplish all tasks utilizing Core Java

and Spring development skills.

. Designed the architecture of the hardware environments and methodology of

the code

. Involved in designing user interactive web pages as the front-end part of

the web application using various web technologies like HTML, JavaScript,

Angular JS, JQuery, AJAX and implemented CSS for better appearance and

feel.

. Exported/Imported data between different data sources using SQL Server

Management Studio.

. Managed large datasets using Panda data frames and MySQL.

. Wrote and executed various MYSQL database queries from python using

Python-MySQL connector and MySQL dB package.

. Built various graphs for business decision-making using Python matplotlib

library.

. Fetched twitter feeds for certain important keywords using python-twitter

library.

. Added support for Amazon AWS S3 and RDS to host static/media files and

the database into Amazon Cloud

. Deployed with Fabric on AWS on EC2 instance with Postgres RDS and S3 file

storage.

. Worked in development of applications especially in UNIX environment and

familiar with all of its commands

. Experienced in Agile Methodologies and SCRUM Process.

Environment: Python 2.7, Django, HTML5/CSS, UNIX, MS SQL Server 2013, T-

SQL, Jasper, JavaScript, Angular JS, Linux, Shell Scripting, RESTful,

Amazon AWS S3 CLI, Amazon Biotopes, Open stack cloud, RUBY

BDIPlus, New York, NY

Dec 2017 -May 2018

Role: Software Engineer, Python, Java

Responsibilities:

. Involved in software development life cycle (SDLC) of tracking the

requirements, gathering, analysis, As part of data platform team, I was

responsible to get the data from different sources (JSON, XML, Relational

or file based) to ingest data into hive using Python (PySpark for

creating Data pipelines)

. Managed mainframe storage resources, including DASD and tape libraries,

optimizing storage utilization and implementing backup and recovery

strategies.

. Skilled in integrating Python with SQL Server for data extraction,

transformation, and loading (ETL) processes.

. Managed, developed, and designed a dashboard control panel for customers

and Administrators using Django, Oracle DB, PostgreSQL and REST API

calls.

. Managed, developed, and designed a dashboard control panel for customers

and Administrators using Django, HTML, CSS, JavaScript, Bootstrap, JQuery

and RESTAPI calls.

. Actively involved in developing the methods for Create, Read, Update and

Delete (CRUD) in Active Record.

. Implemented and modified various SQL queries and Functions, Cursors and

Triggers as per the client requirements.

. Managed code versioning with GitHub, Bit Bucket and deployment to staging

and production servers.

. Implemented MVC architecture in developing the web application with the

help of Django framework.

. Used Celery as task queue and Rabbit MQ, Redis as messaging broker to

execute asynchronous tasks.

Environment: Python, Django, HTML, CSS, XML, KML, MySQL, JavaScript,

Angular JS, JQuery, CSS Bootstrap, RESTful, MS SQL Server, MongoDB, Elastic

Search, Ubuntu server, Apache CQ, TFS, Amazon s3, Jenkins, Map Box, Mongo

DB, zone, PyTest, Robot, GitHub, Bit Bucket, Linux, and Windows.

CIWU Inc, Fort Worth-TX

June 2017 -Dec 2017

Role: Software Engineer

Responsibilities:

. Developed predictive model to identify negative outcome margins using

logistic model that helps providers of Medical Insurance company to take

measures to keep patient healthy and optimize their expenditure.

. Recording of Scripts (Web, Web Services HTML) using Vigen and SoapUI and

script validation through co correlations, parameterizations and other

methods. Scripting- web and web services.

. The application was based on service-oriented architecture and used

Python 2.7, Django1.5, JSF 2, Spring 2, Ajax, HTML, CSS for the frontend.

. Install and configuring monitoring scripts for AWS EC2 instances.

. Worked extensively with Bootstrap, JavaScript, and JQuery to optimize the

user experience.

. Used Python and Django to interface with the jQuery UI and manage the

storage and deletion of content.

. Built various graphs for business decision making using Python matplotlib

library.

. Fetched twitter feeds for certain important keywords using python-twitter

library.

. Used Python library Beautiful Soup for web scrapping to extract data for

building graphs.

. Trained extensively in agile methodologies and implemented by

participating in scrum standups, Kanban mode, discussing and implementing

requirements with clients.

Environment: Python 2.7, Django 1.4, Cassandra, RabbitMQ, Vigen, SoapUI,

Node.JS, REST API, Bash, PyDev, Spyder, HTML5, CSS, XML, MySQL, JavaScript,

Angular JS, Backbone JS, JQuery, CSS Bootstrap, Mongo DB, MS SQL Server, T-

SQL, JavaScript, Eclipse, Git, GitHub, AWS, Linux, Shell Scripting.

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