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Bharath Meduru

@bharathmeduru

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Python developer specializing in cloud-native ETL, APIs, and automation for scalable data platforms.

United States

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What I'm looking for

I seek roles building cloud-native data platforms and APIs with strong engineering practices, automation, and collaborative, growth-oriented teams.

I am a Python developer with 4+ years building scalable, maintainable backend applications, RESTful APIs, and microservices using Flask and Django. I focus on clean, well-documented code, automated testing, and modular architectures that improve maintainability and deployment stability.

I have extensive experience with cloud platforms (GCP, AWS, Azure), developing BigQuery data pipelines, Pub/Sub event-driven systems, and deploying Dockerized applications. My work includes building ETL pipelines with Pandas and Spark, integrating relational and NoSQL databases, and automating infrastructure and data workflows to reduce costs and improve reliability.

I actively contribute to team knowledge-sharing, mentorship, and documentation, and I have delivered measurable impact through automation, monitoring, and performance dashboards that support analytics and operational decision-making.

Experience

Work history, roles, and key accomplishments

Graduate Assistant

Texas State University

Jan 2024 - May 2025 (1 year 4 months)

Developed and deployed Python automation and ETL pipelines that improved academic reporting turnaround and enabled real-time data services; containerized research environments and built dashboards that enhanced faculty analytics and reduced manual processing.

Python Flask Pandas BigQuery GCP)Docker Pytest SQL Data Visualization GCP

Systems Engineer

Infosys Limited

Sep 2021 - Jun 2023 (1 year 9 months)

Built Python-based multi-cloud orchestration, ETL pipelines and Flask APIs that improved data reliability and automated provisioning, while integrating BigQuery/Pub/Sub to enable real-time client data flows and reduce transformation latency.

Python Flask Apache Spark BigQuery GCP)AWS Jenkins SQL Microservices GCP

System Engineer

Glintsoft Infotech

Aug 2020 - Sep 2021 (1 year 1 month)

Developed Python automation frameworks, ETL pipelines and containerized microservices that reduced manual reporting effort and improved analytics throughput; implemented testing and CI workflows to increase delivery reliability.

Python Flask Pandas PostgreSQL GCP)Docker Jenkins Data Visualization GCP

Education

Degrees, certifications, and relevant coursework

Texas State University

Master of Science, Computer Science

Activities and societies: Graduate Assistantship involving development of Python automation, ETL pipelines, Flask APIs, GCP integrations, and workshops on BigQuery and dashboarding tools.

Master of Science in Computer Science completed at Texas State University with coursework and assistantship experience focused on Python-based data pipelines, cloud integrations, and research automation.