Senior Backend/Full-Stack Engineer in FinTech & Cloud Systems

Rakesh Gedam Detroit, MI

*******@****************.*** 346-***-**** https://www.linkedin.com/in/rakesh-geddam5240/ PROFESSIONAL SUMMARY

Backend and Full Stack Engineer with experience across fintech, enterprise IT services, and academic research domains, building scalable applications using Python, Django, Flask, and cloud-native architectures.

Hands-on experience developing RESTful backend services and microservices, supporting transaction-oriented fintech platforms such as InSwitch and enterprise systems at TCS.

Strong full stack development background integrating React, JavaScript, and Bootstrap-based frontends with Python backend services for responsive user-facing applications.

Proven experience working with relational and NoSQL databases including MySQL, PostgreSQL, MongoDB, and analytical platforms such as Hive and Snowflake.

Practical exposure to big data and ETL pipelines, leveraging Apache Spark, PySpark, Databricks, Kafka, and distributed data processing frameworks.

Experience delivering data analytics, ML, and RAG-based projects, using TensorFlow, Pandas, NumPy, fine-tuning techniques, and retrieval-based systems.

Demonstrated ability to work in Agile, cloud, and DevOps-driven environments, deploying applications on AWS and Azure using Docker, Jenkins, Git, and CI/CD pipelines. EDUCATION:

Master’s Degree — USA

Bachelor’s Degree — India

TECHNICAL SKILLS

Backend & Full Stack Python, Django, Flask, PHP, REST APIs, Backend Architecture, Server-Side Development

Frontend HTML, CSS, JavaScript, React, Bootstrap, WordPress Databases MySQL, PostgreSQL, MongoDB, SQL, Hive, Snowflake Big Data & Messaging Apache Spark, PySpark, Databricks, Hadoop, Kafka, ETL Pipelines

Cloud & DevOps AWS (S3, EC2, EMR, QuickSight), Azure, Docker, Jenkins, Git, CI/CD Pipelines

Testing & Build Tools JUnit, Unit Testing, Maven, Debugging Libraries & Analytics TensorFlow, Pandas, NumPy, Matplotlib Advanced Topics Fine-tuning, Retrieval-Augmented Generation (RAG), OpenCV

PROFESSIONAL EXPERIENCE

Software Engineer Mar 2025 – Present

InSwitch Remote

Designed and developed backend services using Python with Django and Flask to support fintech workflows, focusing on clean architecture, modular design, and long-term maintainability.

Built and maintained RESTful APIs enabling secure and reliable communication between backend systems and frontend applications with structured validation and error handling.

Integrated backend services with React and Bootstrap-based frontend components to ensure seamless data flow and consistent user experience across application modules.

Designed and optimized database schemas and SQL queries using MySQL and PostgreSQL to support transactional processing, reporting needs, and efficient data access.

Implemented Kafka-based messaging workflows to support asynchronous processing and event-driven interactions, reducing system coupling and improving scalability.

Developed and supported ETL pipelines using Apache Spark and PySpark to process application and analytics data for downstream reporting and insights.

Deployed backend services on AWS infrastructure using EC2 and S3, supporting scalable, highly available cloud- based application hosting.

Containerized applications using Docker and supported automated build and deployment workflows through Jenkins-based CI/CD pipelines to improve release consistency.

Collaborated closely with QA, DevOps, and product teams in an Agile environment to deliver features, enhancements, and fixes within sprint timelines.

Supported debugging, performance tuning, and production issue resolution by analyzing logs and monitoring application behavior to ensure system stability.

Environment: Python, Django, Flask, REST APIs, React, Bootstrap, MySQL, PostgreSQL, Apache Spark, PySpark, Kafka, ETL Pipelines, AWS (EC2, S3), Docker, Jenkins, Git, CI/CD, Agile Software Engineer Intern Sept 2024 – Feb 2025

Melo Boston, MA

Developed backend features using Python and Flask to support internal product functionality, ensuring clean API logic aligned with business requirements.

Implemented RESTful APIs to enable stable frontend and backend integration while handling edge cases and data validation.

Integrated backend services with React and Bootstrap-based UI components to support responsive application behavior.

Worked with MySQL and PostgreSQL databases to support data storage, validation, and retrieval for application workflows.

Assisted in building ETL workflows to process application and analytics data with consistency across processing stages.

Supported containerization and deployment using Docker and CI/CD pipelines, assisting with environment setup and release readiness.

Participated in Agile ceremonies and sprint execution while collaborating closely with senior engineers on assigned tasks.

Environment: Python, Flask, REST APIs, React, Bootstrap, MySQL, PostgreSQL, Docker, Jenkins, Git, CI/CD, Agile Graduate Research Assistant Aug 2023 – May 2024

University of Michigan Flint, MI

Conducted research-oriented development using Python to analyze structured and unstructured datasets supporting academic research initiatives.

Designed and implemented ETL pipelines using Pandas and NumPy to clean, transform, and prepare data for downstream analysis.

Applied machine learning techniques using TensorFlow to support predictive modeling and analytical research experiments.

Developed data visualizations using Matplotlib to interpret trends and present analytical insights to faculty and research teams.

Worked with SQL, Hive, and Snowflake to store, query, and analyze large datasets supporting research workflows.

Implemented RAG and fine-tuning concepts for experimental information retrieval systems and research prototypes.

Environment: Python, Pandas, NumPy, TensorFlow, Matplotlib, SQL, Hive, Snowflake, ETL Pipelines, RAG, Fine-tuning Assistant System Engineer Feb 2021 – Feb 2023

Tata Consultancy Services (TCS) Hyderabad, India

Developed backend application modules using Python with Django and Flask for enterprise client systems while following organizational coding and delivery standards.

Designed and maintained RESTful APIs to support integration between internal enterprise systems and downstream applications.

Worked extensively with SQL-based databases to support transactional workflows, data validation, and issue resolution.

Supported big data processing workflows using Apache Spark and PySpark to transform large datasets for analytics and reporting.

Built and maintained ETL pipelines to ingest and process data across enterprise systems with accuracy and consistency.

Implemented Kafka-based messaging workflows to support asynchronous data processing and improve system scalability.

Deployed and supported applications on AWS infrastructure using EC2 and S3 while assisting with cloud configuration.

Supported CI/CD pipelines using Jenkins and Git to automate build, test, and deployment processes.

Collaborated with cross-functional teams to analyze requirements, troubleshoot issues, and deliver stable enterprise solutions.

Environment: Python, Django, Flask, REST APIs, SQL, MySQL, PostgreSQL, Apache Spark, PySpark, Kafka, ETL Pipelines, AWS

(EC2, S3), Docker, Jenkins, Git, CI/CD

PROJECTS:

Full Stack Data-Driven Web Application

Designed and developed a full stack web application using Django/Flask and React to support secure, data-driven workflows.

Implemented REST APIs and integrated frontend components with backend services and relational databases. Big Data Analytics & ETL Platform

Built scalable ETL and analytics pipelines using Apache Spark, PySpark, and Databricks to process large datasets.

Stored and queried processed data in Hive and Snowflake to support reporting and analytical use cases. AI-Enabled Retrieval System

Implemented RAG-based workflows combining fine-tuned models and retrieval techniques for intelligent data access.

Used Python, TensorFlow, and data processing libraries to support ML-driven analytics and search features.

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