Currently enrolled in an intensive technical training program at Digital Cloud Training, with a focus on enhancing my skills in cloud technologies. Utilizing industry-leading platforms and tools such as AWS, Terraform, Kubernetes, Python, and Linux in real-world projects, this comprehensive training includes:

Amazon Web Services: Gaining a deep understanding of AWS services and architecture, particularly in designing and deploying scalable, highly available, and fault-tolerant systems within the AWS infrastructure.

Real-world Projects: Acquiring hands-on experience through projects that simulate the challenges and demands of cloud computing environments.

Joining the Cloud Mastery Training and pursuing Cloud Certifications demonstrates my commitment to advancing in the field of cloud computing. Through continuous hands-on experience, I aim to excel as a proficient cloud professional, making significant contributions to the industry. This training not only emphasizes technical expertise but also focuses on the practical application of these skills to meet real-world job requirements..

Dynamic and detail-oriented QA Lead with experience in software testing and quality assurance. Proven expertise in leading cross-functional teams to deliver high-quality software products. Skilled in test automation, performance testing, and implementing QA best practices. Strong problem-solving abilities, excellent communication skills, and a commitment to continuous improvement and innovation.

Results-driven Data Engineer with experience in designing, building, and optimizing data pipelines and architectures. Proficient in handling large datasets and implementing data solutions using technologies like SQL, Python, Hadoop, and Spark. Adept at collaborating with cross-functional teams to ensure data quality, scalability, and performance. Committed to leveraging data to drive business insights and innovation.

In this role, I have assisted senior data engineers in developing and maintaining ETL workflows for data ingestion and processing and conducted data quality checks and implemented data cleansing techniques to ensure accuracy and consistency of data.

Learn to Technology exploration, developing software solution modules and components from specifications,Learn to Documenting and unit testing software implementations.

An intensive technical training program at Digital Cloud Training, with a focus on enhancing my skills in cloud technologies. Utilizing industry-leading platforms and tools such as AWS, Terraform, Kubernetes, Python, and Linux in real-world projects.

• 3 Tier Architecture : Designed and implemented a highly available 3-tier architecture in AWS containing a web, application, and database tier that hosted a static website, maintained security between tiers, and leveraged Auto-Scaling groups. Deployed in two availability zones with EC2 Launch templates for scalability, maintainability, flexibility, and security.
• Serverless Event-Driven App : Created a modern cloud-native fully serverless and event-driven application utilizing AWS services offering resilience, low-cost, and highly/automatically scalable.
• Static Website Hosting : Created a modern cloud-native fully serverless and event-driven application utilizing AWS services offering resilience, low-cost, and highly/automatically scalable.
• Disaster Recovery : Developed an active/passive disaster recovery solution for a web application across multiple AWS Regions with failover between regions. Architecture provided fully automated DR failover with short RPO/RTO.
• Custom Terraform Module for 3 Tier Architecture : Leveraged infrastructure as code to deploy cloud environment. Modules allowed for reusability of code across projects and teams in addition to making infrastructure configurations more manageable.
• Python & Lambda : Reduced human error, automated repetitive tasks, and reduced costs by 38%, by programming all EC2s to stop on a nightly schedule utilizing script in a Lambda function and Python 3.9 runtime.