Janakichandana Nadipalli
Summary
- AWS cloud professional with proven track record in designing and implementing scalable cloud solutions. Known for thorough attention to detail and ability to drive complex projects from inception to completion.
- Highly collaborative team player with focus on meeting organizational goals and adapting to evolving project requirements.
- Proven expertise in cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark, Kafka) with a strong background in cloud engineering and infrastructure as code.
- Experience in data warehousing, real-time data streaming, and implementing machine learning models in production environments.
- Strong track record of improving system performance, reducing costs, and enhancing data quality through innovative solutions and best practices.
Overview
2
2
years of professional experience
1
1
Certification
Work History
AWS Cloud Engineer
DXC Technology
06.2021 - 12.2022
- Built custom AMIs for diverse environments and deployed security agents (NNT, CrowdStrike, Prisma Cloud) via Ansible.
- Automated infrastructure provisioning and management in AWS using Terraform, including writing, maintaining, and versioning scripts for EC2, S3, RDS, and VPCs.
- Developed CloudFormation templates and set up CI/CD pipelines using Jenkins to streamline application and infrastructure deployments.
- Monitored and patched Linux and Windows servers for security, performance, and compliance, ensuring operational stability.
- Integrated AWS accounts with ServiceNow for effective issue tracking and managed data backups and restoration operations.
- Utilized Shell/Bash scripting to automate AWS tasks (instance management, backups, health checks) and combined scripts with AWS CLI for enhanced automation.
- Collaborated on configuring and maintaining operating systems and application software, diagnosing issues for continuous operation.
- Established and maintained Splunk forwarders for data flow integration, enhancing data processing capabilities.
- Employed GitHub for version control, integrating with Jenkins to automate builds and deployments, and managed Terraform and Shell scripts in repositories.
- Automated multi-cloud environments with Terraform, ensuring infrastructure consistency and minimizing manual interventions.
- Contributed to CI/CD pipeline implementations for multi-tenant environments, integrating automated testing and security scans.
- Proficient in writing Shell/Bash scripts to automate AWS infrastructure tasks, such as instance management, backups, and log rotations
- · Integrated Splunk with various ETL tools and platforms for enhanced data processing.
- · Skilled in writing and managing YAML files for CI/CD pipelines, infrastructure configuration, and application deployment in AWS.
- Automated daily backups of critical data using AWS S3, reducing the risk of data loss in case of system failures.
- Developed and maintained CI/CD pipelines using Jenkins, increasing deployment speed and reliability.
- Designed custom monitoring dashboards using Amazon CloudWatch for real-time insight into system health and performance metrics.
Data Engineer Intern
TechCorp Solutions
06.2020 - 05.2021
- Designed and implemented scalable data pipelines using Apache Spark and Airflow, processing large volumes of data daily with high reliability.
- Optimized ETL processes, significantly reducing data processing time and improving overall system efficiency.
- Developed and maintained data warehousing solutions using Amazon Redshift and Snowflake, enabling advanced analytics capabilities for business users.
- Assisted in the migration of on-premises data infrastructure to AWS, resulting in reduced operational costs and improved scalability.
- Implemented data quality checks and monitoring systems, reducing data anomalies and enhancing data reliability.
- Mentored junior team members and participated in knowledge-sharing sessions on best practices in data engineering.
- Assisted in the design and deployment of data lake architecture using AWS S3 and Glue, enabling efficient storage and retrieval of large datasets.
- Conducted performance tuning and optimization of SQL queries, improving the speed of data retrieval and reporting.
- Automated routine data engineering tasks using Python and Bash scripting, reducing manual effort and minimizing errors
Education
Master of Science - Computer Science with Data Science
University of Missouri Kansas City
Kansas City, MO05.2024
Bachelor of Science - Information Technology
Malla Reddy College of Engineering
05.2021
Skills
- Cloud Platforms - AWS, Azure, GCP
- CICD Pipeline, GitHub, Jenkins, Docker
- Monitoring and Logging
- Communication and Team Collaboration
- Scripting and Programming - Python, Terraform, JSON, YAML
- Networking and Security
- Database Technologies – SQL
- Big Data Technologies - Hadoop, Spark
Certification
- AWS Cloud Practitioner
- AWS DevOps Engineer associate
- AWS Solution Architect
- Microsoft Certified, Azure Administrator Associate - Microsoft.
Timeline
AWS Cloud Engineer
DXC Technology
06.2021 - 12.2022
Data Engineer Intern
TechCorp Solutions
06.2020 - 05.2021
Master of Science - Computer Science with Data Science
University of Missouri Kansas City
Bachelor of Science - Information Technology
Malla Reddy College of Engineering