DEVENDRA KANADE

PROJECT 1: ODP Operations (Healthcare)

Role: AWS Data Engineer

Technologies: AWS S3, AWS Glue, HVR, AWS Redshift, Linux, ServiceNow.

Roles and Responsibilities:

• Designed and implemented ETL/ELT data pipelines to handle large volumes of structured and unstructured data.
• Managed data ingestion, transformation, and storage using AWS services such as Amazon S3, AWS Glue, Amazon Redshift, and Amazon Athena.
• Administered and optimized HVR for real-time data replication, change data capture (CDC), and integration with cloud databases.
• Provided troubleshooting and root cause analysis (RCA) for ETL and ELT failures in Amazon S3 and Amazon Redshift.
• Monitored job executions in AWS CloudWatch and HVR, resolving sequence missing issues and ensuring seamless data operations.
• Technical analysis of the requirement and technical development
• Delivered timely resolution for incidents and service requests using ServiceNow.
• Optimized SQL queries and database performance for improved efficiency and scalability.

PROJECT 2: ODP Data Ingestion (Healthcare)

Description: As ODP deals with several types of source systems, multiple tools were used to manage replication from all of them into a cloud which will be further used by the data science team for data analytics and machine learning.

Role: Data Engineer/Developer

Technologies: HVR, AWS ( S3, Redshift, EC2, Glue, VPC, RDS, EBS, CloudWatch, Appflow, SNS, Lambda, Step Functions ), RDBMS, Linux, Python, Spark, Service Now and Rally

Roles and Responsibilities:

• Developed and managed a centralized data ingestion platform for integrating multiple source systems, ensuring data consistency and reliability.
• Implemented ELT pipelines using HVR and AWS Glue to enable real-time and batch data replication into Amazon S3 and Redshift.
• Provided ongoing support for HVR and Glue, including issue resolution, incident management, and RCA for failures.
• Automated monitoring and logging using AWS CloudWatch, improving operational efficiency and reducing downtime.
• Collaborate with cross-functional teams and Stakeholders for Development of automated data workflows, improving efficiency by 30%.
• Collaborated with cross-functional teams to implement Agile methodologies, enhancing project delivery timelines and team productivity.

PROJECT: Linux World Informatics Pvt Ltd

Role: Intern (Learning & Implementation)

Technologies: AWS, Docker, Big Data, Kubernetes, Jenkins, Terraform, Data Structure & Algorithms, Shell Scripting, Linux Administration, Machine Learning, Deep Learning, Prometheus, Grafana, Git and GitHub, Python Programming, JavaScript.

• Gained expertise in RHEL8, AWS Cloud, DevOps tools ( Docker, Ansible, Kubernetes ), AI, Hadoop, Python, and machine learning. Designed CI/CD pipelines with Jenkins and Terraform reducing deployment time by 40%. Leveraged Terraform and GitHub for CI/CD and Infrastructure as Code (IaC).
• Experienced in Linux Administration, Shell Scripting for automation, and monitoring with Prometheus/Grafana. Applied Machine Learning and Deep Learning concepts to build data-driven applications. Developed and orchestrated cloud-native applications using Docker and Kubernetes.
• Conducted research on emerging technologies, supporting project initiatives that improved service delivery and client satisfaction.
• Created and maintained documentation for internal processes, facilitating knowledge sharing and improving team accessibility to resources.
• Engaged with cross-functional teams to gather requirements, fostering effective communication and alignment on project goals.
• Supported training sessions for new interns, enhancing team productivity and fostering a collaborative learning environment.
• Monitored system performance metrics, identifying areas for improvement that contributed to the overall effectiveness of technology solutions.
• Gained valuable experience working within a specific industry, applying learned concepts directly into relevant work situations.