JEETENDRA GUPTA

Developed Python automation scripts for GCP file system backup/restore, leveraging subprocess and Linux commands (tar, df -h) to significantly reduce manual intervention and improve operational efficiency.

Designed and implemented automated testing for Snappy Agent-based backup/restore using Python Behave, authoring comprehensive feature files and step definitions to ensure system reliability and robustness.

Automated GCP VM snapshot creation, management, and deletion with Python scripts (GCP SDK, gcloud CLI) to ensure timely, consistent snapshots for data protection, disaster recovery, and seamless cloud integration.

Developed a comprehensive SDG Monitoring Dashboard and backend services for the Assam state government, enabling real-time tracking of SDG progress across key sectors.

Built a detailed DRC Visualization Portal using Python, Flask, HTML, CSS, JavaScript, Chart.js, and Leaflet to showcase key environmental data for the Democratic Republic of Congo.

Developed the Digital Carbon Toolbox for IORA using Python, Flask, and PostgreSQL, enabling precise carbon emission calculations for tree projects based on Wildlife of India documents.

Led technical assessments and development for the GCP-Portal for the Green Credit Program, streamlining carbon footprint monitoring and reporting for large enterprises like Reliance and Tata.

Contributed to the SLMC project by developing remote sensing data visualizations and mapping dashboards using Leaflet and Chart.js, enhancing ecological landscape management for biodiversity and climate change mitigation.

Designed and developed robust RESTful APIs using Python (Flask, FastAPI), ensuring efficient integration with front-end systems and third-party services.

Built and maintained dynamic reporting modules with HTML, CSS, and JavaScript, delivering intuitive user interfaces and enhancing user experience.

Supervised and implemented automated CI/CD pipelines, streamlining application deployment processes and significantly reducing manual intervention.

Enhanced network, system, and data availability through preventive maintenance, upgrades, and Ansible-based server configurations, improving production environment stability and integrity.

Mentored junior developers and fostered cross-functional collaboration, playing a key role in identifying technical challenges and implementing solutions.

Developed Python-based applications, monitoring tools, and reporting modules to automate processes, improving system efficiency and supporting data-driven decision-making.

Trained and mentored new developers on company coding standards, design patterns, and best practices, fostering a collaborative learning environment and improving team productivity and code quality.

Monitored program operations and efficiently diagnosed/rectified logic and coding errors, ensuring continuous, smooth application performance.

Engaged directly with clients to gather feedback, discuss project progress, and ensure deliverables met client expectations and project timelines.

Partnered with cross-functional engineering teams to evaluate and integrate software/hardware interfaces, optimizing overall system performance and compatibility.

Developed an in-house Python application to monitor 1.8K servers and track hardware inventory, significantly improving system monitoring and management efficiency.

Led efforts to upgrade legacy codebases to modern Python development standards, enhancing system functionality, reducing technical debt, and improving maintainability.

Developed resilient, scalable, and modular APIs using Python, ensuring efficient integration with other systems and services while optimizing for performance and reliability.

Collaborated with software development, product, and UAT testing teams to design and implement Python-based solutions meeting client requirements for functionality, scalability, and performance.

Engaged with management and external partners, providing updates on software application status and project milestones to ensure alignment with goals.

Installed and configured network hubs, web servers, and storage servers, ensuring seamless integration and reliable system performance across the network infrastructure.

Automated routine tasks using custom Python scripts, improving efficiency in reporting and data accessibility for stakeholders.

Diagnosed and resolved network issues (hardware, software, power, communication failures), ensuring minimal downtime and optimal network performance.

Prepared detailed post-mortem documentation for network system failures, analyzing root causes and outlining restoration efforts to prevent future issues.