Python Full-Stack Developer for Analytics & FinTech

Manoj Reddy Avula

Python Developer

937-***-**** ************@*****.***

Professional Summary:

Develop and deliver full-stack, analytics-driven applications across financial and regulated domains using Python, Flask/FastAPI, Django, and React.

Design modular Python-based middle-tier services that integrate analytical models, business logic, and data sources to support portfolio, risk, and decision-making workflows.

Build and optimize RESTful APIs and service interfaces enabling seamless interoperability between front-end applications, analytics layers, and third-party systems.

Develop interactive React.js frontends using Redux and Hooks, embedding Power BI dashboards to deliver portfolio metrics, risk indicators, and operational insights to business users.

Implement search, indexing, and data-retrieval capabilities to enable efficient access to financial disclosures, analytical outputs, and structured datasets.

Develop scalable backend services for data enrichment, summarization, and analytical processing in support of business and investment workflows.

Lead cloud-native application delivery and DevOps automation using Docker, Kubernetes, and CI/CD pipelines with Azure DevOps and Jenkins.

Design and implement event-driven and containerized backend services, improving scalability, reliability, and asynchronous processing across cloud environments.

Design and maintain relational data models using PostgreSQL and optimized SQLAlchemy patterns to support analytics-heavy, query-driven workloads.

Ensure regulatory and data-security compliance by implementing role-based access controls, encryption, and secure data-handling practices aligned with SOX and HIPAA standards.

Collaborate closely with analysts, portfolio stakeholders, and cross-functional teams to translate business requirements into reliable, maintainable software solutions delivered through Agile practices.

Drive quality and performance through unit, integration, and system testing, along with continuous optimization of APIs, data workflows, and user interfaces.

Mentor engineers and contribute to continuous improvement through code reviews, documentation, and knowledge sharing.

Technical Skills:

Category

Technologies

Languages

Python, C++, C, Java

Operating Systems

Windows, Linux, Unix, macOS, Solaris

Protocols

HTTP/HTTPS, TCP/IP, SOAP, REST, SMTP

Frameworks

Django, Flask, FastAPI

Databases

Microsoft SQL Server, MySQL, PostgreSQL, Cassandra, MongoDB, Redis

Streaming & Messaging:

Apache Kafka, Azure event Hubs, Airflow

Python Libraries

Pandas, NumPy, SciPy, Matplotlib, Requests, Beautiful Soup

Web Servers

Nginx, Apache Tomcat, Gunicorn, Apache Kafka, AWS EC2

Cloud & Tools

AWS (EC2, Lambda, S3, SNS, SQS), Microsoft Azure (AKS, Azure Functions, Blob Storage, Azure DevOps), GCP, Docker, Kubernetes

Version Control Systems

Git, GitHub, GitLab, Bitbucket, Jira

Web Design

HTML5, CSS3, JavaScript, AJAX, Bootstrap, ReactJS, Angular

PROFESSIONAL EXPERIENCE:

Client: JPMorganChase Dec 2023 – Present

Role: Python Developer

Roles & Responsibilities:

Developed Python-based full-stack applications integrating React.js frontends with Flask/FastAPI middle-tier services to support portfolio analytics, risk workflows, and investment decision processes.

Built scalable analytics services to process financial statements, regulatory filings, and risk disclosures, transforming complex datasets into consumable outputs for portfolio managers and analysts.

Designed and delivered interactive React dashboards using Redux and Hooks, enabling traders and risk teams to explore portfolio metrics, trends, and scenario-driven insights in real time.

Implemented backend processing pipelines to normalize, enrich, and summarize large volumes of financial and transactional data for downstream analytical consumption.

Designed secure, well-versioned REST APIs with role-based access controls, ensuring controlled access to analytical results and sensitive financial data.

Developed data extraction and enrichment workflows to identify securities, issuers, exposures, and risk attributes from structured and unstructured financial sources.

Deployed containerized Python services on Azure Kubernetes Service (AKS) with autoscaling, rolling deployments, and resource tuning for high-availability analytics workloads.

Implemented search and indexing capabilities to enable fast lookup of financial disclosures, contracts, and research content used in analytical workflows.

Built PyTest-based automation suites for REST API validation and regression testing, improving release confidence and reducing manual QA effort.

Automated CI/CD pipelines using Azure DevOps to support iterative delivery, testing, and stable release of analytics features into production environments.

Collaborated directly with business users, including analysts and portfolio stakeholders, to refine UI workflows, data views, and usability of analytical tools.

Implemented monitoring and alerting using Azure Monitor and application telemetry to track API latency, failures, and overall system health in production.

Integrated backend services to aggregate analytical results, summaries, and audit data, improving operational efficiency across investment and risk teams.

Embedded Power BI dashboards within React applications to visualize portfolio indicators, risk signals, and key performance metrics for senior business users.

Environment: Python, Flask, FastAPI, Django, React.js, Redux, Hooks, TypeScript, REST/JSON APIs, SQLAlchemy, PostgreSQL, Power BI, Docker, Kubernetes (AKS), Azure DevOps (CI/CD), Azure Functions, Azure Blob Storage, Azure Active Directory (AAD), Azure Data Factory, Azure Monitor, Git, JIRA, Pandas, NumPy.

Client: Cigna Healthcare, Houston, TX May 2021 – April 2023

Role: Python Developer

Roles & Responsibilities:

Designed and developed Django-based web applications using MVC architecture, supporting AI-powered healthcare diagnostics and large-scale medical imaging workflows for clinicians.

Implemented complex backend logic and secure XML data exchange with Python, ensuring reliable transformation and integration of sensitive healthcare data across internal and external systems.

Developed and maintained RESTful APIs and Django ORM models, enabling robust, efficient database operations for clinical, operational, and diagnostic healthcare data flows.

Customized Django views and templates to visualize diagnostic metrics, integrating Bash scripts to automate backend processing, data refresh, and recurring reporting tasks.

Developed optimized SQL and PL/SQL procedures, triggers, and materialized views, improving large-scale data retrieval for AI models and supporting downstream healthcare analytics.

Built and tested Spark jobs in Python for parallel processing of high-volume medical imaging and patient datasets, enhancing throughput and efficiency for healthcare analytics.

Enhanced ETL operations using Spark SQL on Hive tables, automating structured data ingestion and transformation pipelines for machine learning and reporting initiatives.

Refactored legacy queries from Hive, Cassandra, and relational databases into Spark-based Python logic, delivering scalable analytics and seamless integration with modern data lakes.

Converted complex SQL workflows into high-performance Scala components for distributed Spark processing, supporting model training and real-time inference on large clinical datasets.

Managed Java-based diagnostic components with Maven and Ant, automating build and deployment processes to ensure reliability and repeatability in healthcare environments.

Developed PySpark APIs for seamless ingestion and processing of medical data across both batch and real-time diagnostic workflows in production settings.

Designed custom Django dashboards for clinicians by extending admin interfaces, providing actionable operational insights and improving usability for healthcare teams and support staff.

Environment: Python 2.7, Python 3.x, Django, PySpark, NumPy, Pandas, SciPy, Matplotlib, Seaborn, Flask, SQLAlchemy, unittest, pytest, Virtualenv, pip, Conda, Fabric, Docker, Jenkins, AWS Lambda.

Client: US Bank, New York, NY Dec 2019 – Apr 2021

Role: Python Developer

Roles & Responsibilities:

Roles & Responsibilities:

Designed and implemented a microservices-based architecture using Python, Flask, and Django REST Framework, enhancing modularity, scalability, and maintainability for banking data platforms.

Engineered real-time data ingestion pipelines using Apache Kafka and Python, enabling high-throughput streaming of financial transactions and near real-time analytics.

Built advanced analytics and rule-driven processing components in Python, delivering predictive reporting and supporting data-driven business decisions for banking operations and compliance.

Integrated Elasticsearch with Python applications to deliver efficient, scalable search functionality across large banking datasets, supporting robust reporting and data retrieval requirements.

Automated data transformation and ETL workflows with Python and Apache Airflow, improving reliability, efficiency, and traceability of operational pipelines for bank data.

Designed event-driven processing workflows using AWS Lambda and SNS/SQS to support scalable asynchronous data integration across banking systems.

Designed and optimized both SQL and NoSQL database interactions with SQLAlchemy and MongoDB, ensuring efficient data management and high-performance retrieval for analytics.

Implemented CI/CD pipelines using Jenkins, GitLab CI, and Python scripts, automating testing, builds, and deployments to support rapid feature delivery and code quality.

Developed custom RESTful APIs with Python Flask, enabling seamless, secure data exchange between frontend and backend systems in banking and financial applications.

Led the upgrade of web applications from Django 2.x to Django 3.x, incorporating advanced security, performance, and modern Python best practices across critical banking systems.

Authored and maintained technical documentation and user guides using Sphinx and Markdown, supporting internal knowledge transfer and developer onboarding in cross-functional teams.

Enhanced application security by implementing OAuth and JWT authentication mechanisms, strengthening protection for user identities and sensitive financial information in all deployed applications.

Conducted root cause analysis and resolved production issues, reducing system downtime and improving overall platform reliability for business-critical banking services.

Environment: Python 3.3, PyQt, PyQuery, MVW, HTML5, CSS3, DOM, AngularJS, Shell Scripting, JSON, REST, Apache Web Server, Django, SQL, UNIX, Windows, AWS, MongoDB, PostgreSQL, NumPy, IPython, SQLAlchemy.

Client: Star Health Pvt. Ltd, Bengaluru, India May 2018 – Aug 2019

Role: Python Developer

Roles & Responsibilities:

Developed robust backend solutions using Python and Django, integrating front-end components to deliver seamless, scalable, and high-performing business applications.

Gathered requirements, conducted system analysis and design, and managed the full lifecycle from development to testing and deployment of new web features.

Leveraged Django APIs to access databases and applied advanced API profiling techniques, ensuring faster, more efficient rendering and delivery of critical information.

Developed and rigorously tested dashboard features using Python, Java, Bootstrap, and CSS3, enhancing usability and visual clarity for business and analytics users.

Designed and configured backend applications and databases, building all mapping classes with Django ORM to streamline data modeling and management tasks.

Created a comprehensive Python/Django web application with MySQL, HTML5, CSS3, jQuery, and Highcharts, providing real-time sales analytics, progress tracking, and business trend visualization.

Developed and experimented with Angular-based UI components in internal and prototype applications to enhance dynamic dashboard capabilities.

Updated and extended the existing clipboard application with new features and functionality to meet evolving business and client requirements effectively.

Wrote Python code for efficient data handling, simplifying lists with list comprehensions, and used POSTMAN for API testing and validation of all REST endpoints.

Implemented robust validation controls for forms, including custom logic with Object-Oriented JavaScript to improve data accuracy and user experience.

Automated content updates and file manipulations in the database using Python scripts, supporting business process automation and data integrity.

Designed user-friendly website interfaces using Django views and templates, focusing on clarity, responsiveness, and accessibility for a wide range of end users.

Utilized jQuery, AJAX, and Jenkins/Ansible for data exchange, continuous integration, and automated deployments, supporting reliable, scalable, and maintainable application releases.

Environment: Python, PyCharm, Angular, Django, Django Rest, NumPy, Matplotlib, GitHub, Ansible, HTML5, CSS3, JQuery, PostgreSQL, Microsoft Visual Code, JIRA, Oracle, Windows.

Client: Meesho, Hyderabad, India May 2017 – Mar 2018

Role: Software Engineer

Roles & Responsibilities:

Developed and enhanced retail applications using Django Framework, optimizing overall system performance and adding new inventory, order, and catalog features with SOAP web service integration.

Applied user interface guidelines and best practices with HTML, CSS, JavaScript, and jQuery, delivering user-friendly retail web experiences consistent with modern design standards.

Designed, managed, and developed dashboard control panels for customers and administrators using Django, HTML, Bootstrap, and REST API calls with JSON for real-time data updates.

Utilized GitHub for source control, managing development workflows and tracking all new features and bug fixes in the growing retail application environment.

Built and maintained scalable APIs for product listings, cart management, and order tracking using Django REST Framework, supporting both web and mobile retail platforms.

Employed AJAX to transform datasets and data tables into HTTP-serializable JSON strings, enabling seamless, real-time updates for pricing and stock data on customer dashboards.

Used XLSX reader and writer modules to read, write, and analyze retail sales, inventory, and customer data, projecting actionable business insights for stakeholders.

Leveraged Django evolution and manual SQL modifications to update models and database schemas in production, preserving data integrity for all retail transactions and customer records.

Improved coding standards and code reuse by applying design patterns like Front Controller and DAO, increasing performance and maintainability of the evolving retail application.

Created RESTful web services for catalog and pricing modules using Django MVT architecture, with MySQL and Oracle databases to support omni-channel retail operations.

Utilized SQLAlchemy with Flask and PostgreSQL to develop robust backend services, supporting advanced retail web application features and transactional data flows.

Led database migration projects from SQLite to MySQL to PostgreSQL, ensuring complete data integrity, and actively participated in end-to-end deployment, testing, and production support.

Environment: Python 2.7, Django 1.10, MySQL, Python Scripting, MongoDB, AJAX, SOAP, REST, jQuery, JavaScript, Bootstrap, PyCharm, AWS (EC2, S3, RDS).

Education:

Bachelor of Engineering in Electronics and Communication Engineering, Sathyabama University, Chennai, India.

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