Abhinay Reddy Bonthu
Summary
Dynamic Cloud Engineer with over 7 years of experience in AWS, Azure, and GCP environments, specializing in cloud infrastructure, big data platforms, and automation. Proven ability to design and deploy highly available and scalable architectures while implementing Infrastructure as Code (IaC) to enhance operational efficiency. Expertise in multi-cloud orchestration and Kubernetes, with a strong focus on performance tuning for enterprise-scale deployments. Committed to leveraging cutting-edge technologies to drive innovation and optimize distributed systems for maximum impact.
Overview
9
9
years of professional experience
1
1
Certification
Work History
AWS Cloud Support Engineer II
Amazon Web Services (AWS)
09.2021 - Current
- Provided proactive recommendations during Big Data service implementation, covering frameworks like Spark, Hive, and distributed systems.
- Resolved critical, complex issues across EMR, Hadoop, NoSQL databases, ETL technologies, and containerized workloads on EKS/Kubernetes.
- Optimized system performance for MapReduce, HDFS, Spark, and HBase using advanced troubleshooting and internal tools.
- Collaborated with service development teams and led tech sync meetings to relay customer feedback and propose feature enhancements.
- Developed runbooks and automation workflows to standardize escalation procedures and improve operational efficiency.
- Troubleshoot AWS network services and application stacks using TCP/IP, DNS, DHCP, firewalls, and diagnostic tools.
- Participated in bug bash initiatives, identifying service-level bugs and submitting actionable feature requests for product improvement.
- Recommended new AWS features and architecture improvements to align with evolving customer requirements.
AWS Business Intelligence Engineer
Amazon Web Services (AWS)
05.2023 - 09.2023
- Designed and automated ETL pipelines for large-scale business reporting, improving data processing speed by 28%.
- Built interactive dashboards using QuickSight and Redshift for real-time insights across multiple business units.
- Developed SQL queries and scripts for data transformation and aggregation, ensuring accuracy and consistency in reporting.
- Implemented data validation and error-handling mechanisms to improve pipeline reliability.
- Conducted root cause analysis of failed data jobs and implemented automated recovery strategies.
- Worked with stakeholders to define KPIs and reporting requirements, delivering actionable insights for strategic decisions.
Technical Support Architect / Hadoop Administrator
Impetus
03.2019 - 09.2021
- Managed Hadoop ecosystem (HDFS, YARN, Spark, Hive, Impala) in production and staging environments for enterprise customers.
- Automated cluster provisioning and configuration using Terraform and CloudFormation, reducing deployment time by 60%.
- Performed capacity planning, resource allocation, and performance tuning for large-scale data processing workloads.
- Implemented Kerberos authentication, Ranger, and Knox to enforce security and compliance policies.
- - Monitored clusters using Cloudera Manager and Ambari, ensuring uptime and SLA adherence.
- - Designed and implemented backup and disaster recovery strategies for Hadoop environments.
- - Provided 24/7 on-call support for production issues, reducing downtime through proactive monitoring and automation scripts.
Hadoop Platform Engineer
Visa
10.2017 - 03.2019
- Led migration of Hadoop clusters from Cloudera 5.8x to 5.13x, improving system stability and performance by 15%.
- Configured high-availability NameNode and ResourceManager setups for better fault tolerance.
- Implemented cluster security with Kerberos, Sentry, and Hadoop KMS to meet compliance requirements.
- Performed capacity and load balancing across clusters for optimized utilization.
- Troubleshoot complex MapReduce and Spark job failures, reducing job failure rates by 20%.
- Worked on YARN and HDFS tuning for large-scale production environments handling petabytes of data.
Hadoop Administrator
Netbrill Inc.
02.2017 - 10.2017
- Installed, configured, and optimized Hadoop clusters (HDFS, YARN, Hive) in production environments.
- Implemented monitoring and job performance tuning to ensure SLA adherence.
- Deployed and managed Hive Metastore, Oozie workflows, and HBase clusters for analytics workloads.
- Developed shell scripts for automation of recurring administrative tasks.
- Monitored disk usage, cluster health, and resource utilization to prevent downtime.
Education
Master's in Electrical and Computer Engineering -
University of South Alabama
01.2016
Bachelor of Technology - Electronics and Communication Engineering
JNTU Kakinada
01.2014
Skills
- AWS, Azure, GCP Terraform, Ansible Hadoop, Spark, Hive Docker, Kubernetes VPC, IAM, DNS CloudWatch, Prometheus Python, Shell Jenkins, CloudFormation
Certification
- AWS Certified Solutions Architect – Associate (Expires Apr 2026)
- AWS Certified SysOps Administrator (Expired Sep 2023)
- AWS Certified AI Practitioner (2024)
- AWS Elastic MapReduce SME – AWS (2025)
Awards
AWS Service Impact Award – AWS (Jun 2023)
Timeline
AWS Business Intelligence Engineer
Amazon Web Services (AWS)
05.2023 - 09.2023
AWS Cloud Support Engineer II
Amazon Web Services (AWS)
09.2021 - Current
Technical Support Architect / Hadoop Administrator
Impetus
03.2019 - 09.2021
Hadoop Platform Engineer
Visa
10.2017 - 03.2019
Hadoop Administrator
Netbrill Inc.
02.2017 - 10.2017
Bachelor of Technology - Electronics and Communication Engineering
JNTU Kakinada
Master's in Electrical and Computer Engineering -
University of South Alabama
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