Pratik Vikrant Wadekar

Summary

Motivated and enthusiastic AWS developer with a strong foundation in cloud computing and hands-on experience gained through an internship. Skilled in utilizing various AWS services such as IAM, Kinesis, Lambda, SQS, CloudWatch. Proficient in Python programming and eager to apply my technical knowledge to contribute to real-world projects.

Education Details

• M.Tech in Computer Science and Engineering | 2024 – Present, Indian Institute of Technology, Bombay
• Bachelor of Technology in Computer Engineering (CGPA: 8.98) | 2019 – 2023, Rajarambapu Institute of Technology, Islampur
• Class 12th (Percentage: 85.85) | 2019, The New College, Kolhapur
• Class 10th (Percentage: 95.80) | 2017, The New English School, Bahireshwar

Skills

• Languages: Python, Java, C, C++
• Technologies Known:
  • AWS Cloud – AWS Lambda, CloudWatch, CloudTrail, IAM, SNS, SES, CloudFormation, EventBridge, SQS, S3
  • Basics of Machine Learning – NumPy, Sklearn, Pandas, etc.
  • Jira
  • GitLab
  • MySQL
• Problem-Solving Skills and Quick Learner
• Soft Skills – Critical Thinking, Communication, Enthusiastic, Collaboration, Time Management

Work Experience

• AWS Developer at Ignitiv Technologies Pvt Ltd | July 2023 – July 2024
  • Managed servers and AWS resources.
  • Handled Bitbucket pipelines.
  • Performed serverless deployments on AWS Lambda.
  • Utilized ECR service to deploy container applications.
• AWS Developer (Intern) at KONE Elevator & Escalators | Jan 2023 – Jun 2023
  • Introduced agile methodologies and development best practices to division to enhance product development.
  • Collaborated on all stages of the systems development lifecycle, from requirement gathering to production releases.

Industrial Projects

• Alarms & Event Trigger Notification Pipeline (KONE)
  • Designed and implemented an alarms and event trigger notification pipeline.
  • Utilized Python and the SAM Framework for development.
  • Employed GitLab for version control.
  • Made use of various AWS Services including IAM, Kinesis, Lambda, DynamoDB, API Gateway, SQS, CloudWatch, Step Function, Secret Manager, and SSM.
• Disaster Handling Pipeline: Resource Deletion Notification (KONE)
  • Developed a pipeline to handle disasters by sending notifications when any AWS resource was deleted from the source account.
  • Utilized Python and the SAM Framework for development.
  • Utilized GitLab for version control.
  • Leveraged AWS Services including IAM, Lambda, SNS (Simple Notification Service), and CloudTrail for resource monitoring and notification.

These are some glimpses from IIT Bombay: