Maulik Zalavadiya

Designed and implemented Datadog integration using Python to enhance log management and monitoring, improving system observability and performance analysis. Developed automated scripts for log ingestion, filtering, and alerting using Datadog APIs, optimizing incident response and reducing troubleshooting time by 30%.

Spearheaded the development of scalable Flask-based applications, integrating MongoDB to optimize data storage and retrieval, while ensuring robust API performance and security. Led a team of developers, driving the successful implementation of microservices architecture using Flask, Docker, and MongoDB, facilitating seamless communication and system reliability.

Designed and coded new software or modified existing software to add new features. Developed an ETL process to handle databases across many platforms and prepare data, which has improved platform performance by 60%.

Demonstrated expertise in debugging application issues related to Python-based backend services. Designed and implemented an end-to-end Analytics pipeline, resulting in a 10% increase in session time by gaining valuable insights into user behavior.

Designed and delivered comprehensive training programs on Python, Django, Flask, MySQL, PostgreSQL, and AWS, utilizing live projects to provide practical, hands-on learning experiences. Mentored junior developers by leading them through real-world projects, ensuring they gained in-depth knowledge of web development frameworks like Django and Flask, and database management with MySQL and PostgreSQL

Grade: 75%

Completed a Bachelor of Engineering in Computer Science, focusing on core computer science principles and engineering applications. Achieved a strong academic performance with a 75% grade.