Software Engineer with 8+ Years of Enterprise Experience

Tamatam

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

Phone: +1-612-***-****

Professional Summary

Results-driven Software Engineer with 8+ years of experience in analyzing, designing, developing, and deploying scalable enterprise applications across cloud, web, and data platforms. Strong expertise in Python, Django, Java, and modern web technologies, with hands-on experience in microservices, RESTful APIs, cloud-native architectures, and data pipelines. Proven ability to deliver business-critical systems using Agile, SCRUM, and TDD methodologies, with deep exposure to AWS, Azure, DevOps automation, databases (SQL & NoSQL), and CI/CD pipelines. Adept at full SDLC execution, cross-functional collaboration, and building high-performance, secure, and scalable solutions.

Key Highlights

8+ years of end-to-end SDLC experience in enterprise application development, maintenance, and deployment

Strong expertise in Python ecosystem including Django, Flask, Pyramid, BottlePy, and RESTful service development

Extensive experience with cloud platforms:

oAWS (EC2, S3, RDS, ELB, SQS, IAM, CloudWatch, EBS, CloudFront, ElasticSearch)

oMicrosoft Azure (Azure SQL, Datamarts, Synapse Analytics, data pipelines)

oExposure to Rackspace, OpenStack, and GCP

Designed and implemented large-scale, business-critical systems using object-oriented design and MVC architecture

Built batch and real-time data pipelines, ETL/ELT processes using SSIS, Azure Synapse, and data migration tools

Proficient in front-end technologies: HTML5, CSS3, JavaScript, AngularJS, React, AJAX, jQuery, JSON, XML

Hands-on experience with SQL & NoSQL databases:

oOracle, MySQL, PostgreSQL, SQLite

oMongoDB, Cassandra, DynamoDB, Redis, CouchDB

Strong skills in complex SQL development, stored procedures, functions, packages, and database optimization

Experienced in DevOps and automation using Docker, Ansible, Jenkins, Bamboo, and scripting (Bash, Shell)

Advanced knowledge of CI/CD, build automation, and version control systems (Git, GitHub, SVN, CVS)

Implemented OAuth 2.0 authentication, Open Social integrations, and secure API access

Proficient with testing frameworks and tools: PyTest, Unit Testing, Selenium, Cucumber, JUnit, Karma, Jasmine, SoapUI.

Hands-on experience designing and integrating AI-powered solutions using Python, including machine learning model integration, data preprocessing pipelines, and deployment of inference services via RESTful APIs in cloud-native environments

Experience working with AI agents and automation workflows, leveraging LLM-based services, prompt engineering, and orchestration patterns to build intelligent assistants, task automation systems, and decision-support tools integrated with enterprise applications

Strong exposure to Linux/UNIX environments, networking fundamentals (Layer 1–7), and server administration

Built interactive dashboards and analytics solutions using data visualization best practices

Excellent communication, teamwork, and time management skills, with experience working in Agile-driven, cross-functional teams

Skills:

Programming Languages: Python, Java, JavaScript, Golang, Bash/Shell, Ruby

Backend Frameworks: Django, Flask, TastyPie, RESTful APIs, MVC Architecture, Microservices

Frontend Technologies: React, Redux, AngularJS, Angular 2, HTML5, CSS3, Bootstrap, jQuery, AJAX, JSON

Machine Learning & AI: Machine Learning Fundamentals, Data Analysis, Model Development & Evaluation, Feature Engineering, Pandas, NumPy, Scikit-learn, AI-driven Automation, Data Processing for ML Pipelines

Cloud Platforms: AWS (EC2, S3, Elastic Beanstalk, ECS, DynamoDB, CloudFormation, IAM, CloudWatch)

DevOps & CI/CD: Jenkins, Docker, Ansible, Git, GitHub, Bash Automation

Databases: MySQL, PostgreSQL, Oracle, MongoDB, DynamoDB, Cassandra

Data Processing & Scripting: Pandas, SQL Optimization, Stored Procedures, Data Import/Export Automation

Testing & Quality: TDD, BDD, Unit Testing (Python), Automated Testing, Pair Programming

Operating Systems: Linux, UNIX

Methodologies: Agile, SCRUM, Test-Driven Development (TDD), Behavior-Driven Development (BDD), CI/CD

Education:

Completed Bachelor’s degree at Osmania University in 2017.

Completed Master’s degree at Concordia St. Paul University in 2024.

Experience:

Senior Python Developer Client: U.S. Bank – Minneapolis, MN March 2025 – Present

Responsibilities:

Developed consumer-facing features and applications leveraging Python, Django, HTML, and Behavior Driven Development (BDD), following pair programming practices to ensure high code quality.

Applied a Test-Driven Development (TDD) approach using Python’s unit test framework, and built isomorphic ReactJS and Redux-powered API client applications.

Implemented dynamic front-end elements and handled AJAX calls with jQuery to exchange JSON data between client and server; used Jenkins, Ansible, and Docker for continuous integration and deployment automation.

Designed database schemas, APIs, and views in Python to develop interactive web solutions with a focus on usability and performance.

Created fully automated continuous integration pipelines integrating Git, Jenkins, MySQL, and custom Python/Bash tools to support seamless delivery.

Architected and deployed API systems using fast HTTP servers hosted on Amazon AWS infrastructure for scalable, reliable applications.

Developed front-end and back-end modules in Python/Django, utilizing frameworks like Tasty Pie and source control with Git.

Responsible for configuring a Python REST API framework utilizing Flask and FastAPI, as well as delivering interactive Open API Standard (aka. Swagger) API documentation to other cross-functional teams.

Collected and analyzed performance metrics for MongoDB queries and update operations to optimize database efficiency.

Wrote automation scripts in Ruby and Python to monitor MongoDB health and perform backup/restore tasks using mongo dump and mongo restore utilities.

Developed frontend and entire backend modules using Python on Flask Web Framework.

Contributed to DevOps operations by running Jenkins in Docker containers with EC2 build agents on AWS, gaining exposure to container orchestration tools such as Kubernetes and Mesos.

Used regular expressions to enhance search speeds, combined with Angular2’s built-in and custom pipes for dynamic filtering.

Deployed projects to AWS Elastic Beanstalk with EC2 instances, and handled S3 storage services for scalable cloud data management.

Integrated DynamoDB to provide scalable, low-latency data storage with optimized indexing and query capabilities.

Leveraged AWS ECS, S3, and Cloud Formation to automate deployment and infrastructure provisioning in cloud environments.

Automated routine operations using Amazon EC2 CLI alongside Bash and Python scripting.

Created dynamic page components and implemented form validation using AngularJS.

Constructed Cassandra queries to execute CRUD operations, and used Bootstrap for responsive and organized front-end layouts.

Designed and maintained dashboard control panels for customers and admins with Django, Oracle DB, PostgreSQL, and integrations via VMware APIs.

Created automated CI/CD pipelines using GitLab CI/CD, Jenkins, AWS CodePipeline, for continuous model integration and deployment.

Developed RESTful Python-based web services in Django, interacting with external systems via JSON, performing backend analysis with PostgreSQL.

Automated data backup by scripting MongoDB export commands and transferring files using Python’s ftplib.

Created SQL stored procedures and Linux shell scripts to handle data import/export and transformations, supporting agile continuous integration.

Implemented multithreading and locking mechanisms to improve concurrent processing; also built automated CI systems using custom Python and Bash tools.

Developed database models using Flask, building APIs and views with Python to deliver interactive web applications.

Extensive experience implementing Continuous Integration/Continuous Delivery (CI/CD) pipelines with Jenkins in AWS cloud environments.

Deployed event-driven architectures with AWS Lambda, SQS, and Step Functions for asynchronous claims processing and error handling.

Engineered algorithms for data pattern generation and enhanced application options for selecting different generation methods.

Built sophisticated conversational AI agents and chatbots to drive natural and effective user experiences.

Directed cross-functional teams of AI engineers, data scientists, and DevOps to deliver client-aligned AI solutions.

Developed automation frameworks with Python and shell scripting, operating primarily within Linux environments.

Followed agile development principles and methodologies throughout project lifecycles.

Delivered production-quality code adhering to Test-Driven Development (TDD) and continuous integration practices aligned with agile methodologies.

Architected and productionized a diverse portfolio of ML models, from classical algorithms to Bayesian HMMs and LLMs.

Applied advanced techniques including LLM fine-tuning, multi-modal AI, and agentic architectures for fraud detection and compliance.

Built Golang APIs and chatbots employing TDD to automate software deployment and rollback processes.

Managed and manipulated large datasets using Pandas Data Frames and MySQL, crafting optimized database queries in Python.

Owned the end-to-end ML lifecycle from data acquisition and cleansing to deployment, validation, and MLOps.

Led the integration of AI/ML capabilities and NLP services into scalable, user-facing applications.

Engineered and fine-tuned Large Language Models and Generative AI systems using RAG and prompt engineering.

Created database models, APIs, and views using Python to build interactive web apps, leveraging

Django and TastyPie frameworks.

Embraced Agile and SCRUM processes for efficient team collaboration, managing code versions with Git, and communicating releases through detailed notes.

Python Developer Client: PathAI – CA, USA April 2024 – Feb 2025

Responsibilities:

Played an active role throughout the Software Development Life Cycle (SDLC), including requirements gathering, design, analysis, and coding for complex applications.

Designed and developed cloud-native microservices using Python (FastAPI) deployed on AWS ECS with API Gateway, Lambda, and DynamoDB integrations.

Developed and maintained scalable RESTful APIs using Python (Flask and Django), leveraging SQLAlchemy for ORM and writing unit tests with Pytest to ensure high code quality.

Designed dynamic web forms and interactive UI components using HTML5, CSS3, and JavaScript, utilizing Object-to-XML transformations and AJAX for partial page updates.

Implemented frontend enhancements using AngularJS, introducing MVC capabilities and improving cross-browser user experience.

Created custom Python frameworks within Django for unit monitoring and software scanning, emphasizing maintainability and backend robustness.

Utilized Python libraries such as NumPy, Pandas, SciPy, Matplotlib, BeautifulSoup, and PyTables for data analysis, visualization, and web scraping.

Developed complex data aggregation pipelines using PySpark and Spark SQL, storing processed datasets in AWS S3 for reporting and dashboarding.

Automated XML data processing and database loading using custom Python scripts to enhance ETL workflows.

Led cloud-based application deployments using AWS services including EC2, S3, EMR, and Redshift, focusing on scalability and efficient resource utilization.

Set up Docker on Linux and configured Jenkins to run under Docker host.

Built containerized Python applications using Docker and deployed them to Kubernetes clusters to achieve high availability and scalability.

Wrote PL/SQL stored procedures and packages to move data from staging environments to data marts while ensuring data integrity and performance.

Implemented CI/CD pipelines using Git, Jenkins, and Ansible to automate build, test, and deployment processes in cloud environments.

Worked extensively with JSON-based REST services, integrating AWS APIs to enhance cloud-native application functionality.

Applied design patterns and best practices in Golang to build production-ready systems with instrumentation and monitoring, complementing Python services.

Developed Python-based GUI modules and automated test suites to ensure frontend usability and comprehensive test coverage.

Followed Agile methodologies including Scrum and Kanban, actively managing sprints and user stories within Python-focused development teams.

Built REST APIs and backend services using Django, Pyramid, and PHP, demonstrating versatility across frameworks and languages.

Built reusable end-to-end ML workflow patterns for warranty claim processing, defect detection, and driver behavior scoring, accelerating new AI feature rollout.

Applied feature engineering, model training, hyper parameter tuning, and experiment tracking with MLflow and Weights & Biases to improve model reproducibility.

Optimized database schema design and queries using Django ORM, building APIs and views that power interactive web applications.

Improved developer productivity by integrating modern tools such as Pytest, Flask, and SQLAlchemy into daily workflows.

Designed and deployed RESTful APIs in Flask and FastAPI to expose ML inference models and real-time data services with high throughput.

Built and managed end-to-end MLOps platforms with MLflow, GitLab CI/CD, Docker, and Kubernetes for deploying production-grade APIs in pricing, credit risk, and fraud detection.

Enhanced frontend responsiveness through extensive use of AJAX and JavaScript for asynchronous data exchange.

Developed automated monitoring and backup scripts for MongoDB using Python and Ruby to support database reliability and health checks.

Promoted continuous improvement by adopting emerging tools such as Azure Databricks and the latest Python libraries.

Python Developer Client: EY – India July 2019 – Jan 2023

Responsibilities:

Designed and developed backend applications and APIs using Python, Django, and Flask for enterprise consulting solutions.

Built data processing and transformation pipelines using Python and SQL to support analytics and reporting platforms.

Developed microservices-based architectures to replace legacy monolithic applications.

Integrated third-party systems and enterprise applications through secure REST APIs.

Worked extensively with relational and NoSQL databases, optimizing queries and data access layers.

Implemented unit testing and integration testing using PyTest and unittest frameworks.

Supported cloud migration initiatives, deploying applications on AWS environments.

Participated in Agile ceremonies, sprint planning, and technical design discussions.

Software Engineer Client: Genpact – India Aug 2017 – June 2019

Responsibilities:

Developed backend components and services using Python for enterprise process automation solutions.

Created data extraction, validation, and transformation scripts using Python and SQL.

Supported batch and real-time processing workflows for large-scale enterprise datasets.

Assisted in building REST APIs and backend services for internal platforms.

Performed application debugging, performance tuning, and production issue resolution.

Collaborated with cross-functional teams to deliver reliable and scalable solutions.

Documented technical designs, workflows, and deployment procedures.

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