Abhinay Reddy Bonthu
Dallas,United States
Summary
Dedicated professional at AWS with a primary focus on enhancing cloud services through expertise in Big Data frameworks and storage solutions. Specializes in seamlessly integrating advanced AWS features into existing architectures for smooth and efficient operations. Collaborates closely with teams to excel in troubleshooting highly complex issues, ensuring customer success with services such as EMR, EC2, S3, and IAM. Strong educational foundation from the University of South Alabama, committed to continuous learning and staying up-to-date with the latest advancements in the field. Recent achievements include obtaining AWS Solutions Architect and AI certifications.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Cloud Support Engineer
Amazon Web Services (AWS)
09.2021 - Current
- Providing proactive recommendations throughout all phases of web service implementation around Big Data advanced framework and architecture within distributed systems including engines such as Spark and Hive
- Supporting incoming customer requests for escalated, critical, highly complex customer problems by following extensive step by step troubleshooting approach
- Troubleshooting customer specific technical issues and services which includes but not limited to: Elastic Map Reduce, DynamoDB, NoSQL databases and ETL technologies, Hadoop architecture, administration and virtualization
- Making recommendations for new AWS features and offerings that will fit within the existing architecture
- This involves occasionally participating in bug bash events to identify service technical bugs and submit feature requests
- Troubleshooting network of Amazon services utilizing tools and technologies including TCP/IP, DNS, DHCP, firewalls, routing, switching, LAN/WAN, traceroute, iperf, dig, curl or related tools
- Manage and troubleshoot full application stack from OS up to custom applications
- Evaluating and optimizing system performance of various areas within MapReduce, HDFS, Spark, Hbase and using internal tooling along with advanced troubleshooting techniques
- Working as a liaison between the service development team and support engineering team, leading tech sync meetings to relay customer feedback
- Experience working with EMR on EKS, kubernates, Namespace, pods, eksctl, kubectl and AWS CLI
Business Intelligence Engineer, AWS Support
Amazon Web Services (AWS)
05.2023 - 09.2023
- Analyzing and interpreting data with Redshift data warehouse
- Data modeling, warehousing and building ETL pipelines
- Data Extract and load operations
- Building dashboards in Amazon Quicksights
- Collaborate closely with internal and external teams to understand and apply changes/modifications impacting Quicksight dashboards
Technical Support Architect/Hadoop Administrator
Impetus
Los Gatos, California, United States
03.2019 - 09.2021
- Respond to technical inquiries about Kyvos product and the underlying BigData ecosystem, reported via any channel of support within the designated Service Level Agreement (SLA) timelines
- Resolve Kyvos software prerequisite checking, installation, configuration, and performance tuning
- Manage and maintain Hadoop, HDFS, YARN, Spark, Impala, Sentry, Hue, HBase and Zookeeper services on internal Development, QA and Production clusters
- Troubleshoot Operating System, Hadoop platform and BI query related issues raised by customers and internal product development, QA and presales teams
- Experience in setting up Resource groups, resources, VM Instances, Load balancers, Storage accounts, ADLS Gen2, RBAC, VM scale set in Microsoft Azure cloud environment
- Experience in deploying Spark Databricks cluster in Microsoft Azure cloud environment
- Experience in deploying AWS EC2 instances, configuring security groups, adding EBS and S3 storage, managing IAM roles, VPC, and subnets
Hadoop Platform Engineer
Visa
10.2017 - 03.2019
- Manage 1000+ nodes analytics cluster and support developers, data scientists and other business customers by managing Hadoop, HDFS, YARN, Spark, Impala, Sentry, Hue, HBase and Zookeeper services etc
- Performed Cloudera CDH and CM upgrade from 5.8.x to 5.14.x along with java upgrade
- Identified bugs and Worked with vendor on multiple occasions for the patch requests
- Installed third party software's like pepper data/unravel/dr.elephant and worked on application optimization
- Enabled high availability for HS2 and Hive metastore
- Enabled monitoring for hadoop services and non-hadoop services using shell scripts and python
- Experience in creating kerberos keytabs and principals
- Experience in tuning CPU and memory parameters for better utilization of cluster resources
- Installed Impala and enabled JDBC and ODBC setup for impala to connect from CLI and tools like tableau and BI
- Worked on impala role-based access controls
Hadoop Administrator
Netorbit Inc
02.2017 - 10.2017
Education
Electrical and Computer Engineering - Engineering
University of South Alabama
12.2016
Skills
- Cloud Storage
- Hadoop, Spark
- BigData
- EMR
- Amazon VPC, S3, IAM, EC2, Cloud Formation, Lambda
- Amazon Relational Database Service (RDS)
- Gen AI
- GCP, Azure Cloud
Certification
- AWS Certified Solutions Architect
- AWS Learning: Architecting
- AWS Certified AI Practitioner
- Academy Accreditation Databricks - Generative AI Fundamentals
- AWS Certified Sysops Administrator
Personal Information
Title: Cloud Support Engineer at AWS | AWS Certified, Cloud Storage Specialist, Big Data Expert
Timeline
Business Intelligence Engineer, AWS Support
Amazon Web Services (AWS)
05.2023 - 09.2023
Cloud Support Engineer
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
Netorbit Inc
02.2017 - 10.2017
Electrical and Computer Engineering - Engineering
University of South Alabama