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Software Engineer with 4+ years of experience developing backend systems, RESTful APIs, and ETL pipelines using Python, FastAPI, Flask, and AWS. Currently working at MMC Global, where I collaborate with cross-functional teams and external stakeholders to deliver scalable software solutions and support client-facing integrations. Experienced with PostgreSQL, MySQL, MongoDB, Docker, and CI/CD pipelines. Holds an MS in FinTech from NJIT and an MBA in Finance, combining strong technical expertise with business understanding.…Software Engineer with 4+ years of experience developing backend systems, RESTful APIs, and ETL pipelines using Python, FastAPI, Flask, and AWS. Currently working at MMC Global, where I collaborate with cross-functional teams and external stakeholders to deliver scalable software solutions and support client-facing integrations. Experienced with PostgreSQL, MySQL, MongoDB, Docker, and CI/CD pipelines. Holds an MS in FinTech from NJIT and an MBA in Finance, combining strong technical expertise with business understanding.

Rahul Adunukota

Web Developer, Full Stack Developer, Back-End Developer, +2

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Software Engineer with 4+ years of experience developing backend systems, RESTful APIs, and ETL pipelines using Python, FastAPI, Flask, and AWS. Currently working at MMC Global, where I collaborate with cross-functional teams and external stakeholders to deliver scalable software solutions and support client-facing integrations. Experienced with PostgreSQL, MySQL, MongoDB, Docker, and CI/CD pipelines. Holds an MS in FinTech from NJIT and an MBA in Finance, combining strong technical expertise with business understanding.…Software Engineer with 4+ years of experience developing backend systems, RESTful APIs, and ETL pipelines using Python, FastAPI, Flask, and AWS. Currently working at MMC Global, where I collaborate with cross-functional teams and external stakeholders to deliver scalable software solutions and support client-facing integrations. Experienced with PostgreSQL, MySQL, MongoDB, Docker, and CI/CD pipelines. Holds an MS in FinTech from NJIT and an MBA in Finance, combining strong technical expertise with business understanding.

Available to hire

Software Engineer with 4+ years of experience developing backend systems, RESTful APIs, and ETL pipelines using Python, FastAPI, Flask, and AWS. Currently working at MMC Global, where I collaborate with cross-functional teams and external stakeholders to deliver scalable software solutions and support client-facing integrations. Experienced with PostgreSQL, MySQL, MongoDB, Docker, and CI/CD pipelines. Holds an MS in FinTech from NJIT and an MBA in Finance, combining strong technical expertise with business understanding.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Software Engineer at MMC Global

February 1, 2025 - Present

Engineered 10+ production-grade RESTful APIs using FastAPI and Flask; reduced average endpoint response time by 35% through async processing and optimized request handling. Architected and deployed containerized microservices on AWS (EC2, Lambda, S3) using Docker, cutting deployment time by 40% and improving system uptime to 99.5%. Built automated ETL pipelines processing 500K+ records daily across PostgreSQL and MongoDB, eliminating manual data handling and accelerating reporting cycles by 60%. Integrated third-party APIs and managed JSON/XML data transformation workflows, enabling seamless data exchange between internal and external systems. Applied query optimization techniques across PostgreSQL and MySQL databases, improving data retrieval performance for high-frequency transactional operations. Streamlined CI/CD processes through GitHub Actions, automating build and deployment pipelines that shortened release cycles. Developed data visualization dashboards using Matplotlib, Seabor

Associate Software Engineer at WebCode IT

March 1, 2020 - August 1, 2022

Developed Python-based backend modules and API integrations using Flask and Requests, reducing manual data processing workload by 30%. Optimized SQL queries across MySQL and PostgreSQL, improving data retrieval speed by 25% for high-frequency reporting workflows. Increased test coverage from 40% to 75% by writing PyTest unit test suites, directly reducing post-deployment bug reports by 50%. Pre-processed and cleaned large datasets using Pandas and NumPy, preparing structured data for ML model pipelines and business reporting. Collaborated in Agile sprint cycles, delivering features on schedule and participating in technical discussions and code reviews. Applied logging and debugging best practices across Python services, reducing incident resolution time during development and QA phases.