Senior Solution Architect · Cloudera

Anjan Kumar Ayyadapu

Technology leader in Big Data, Hadoop, and cloud platform architecture — helping enterprises modernize data infrastructure and deliver Edge-to-AI solutions at scale.

Ashburn, Virginia
Anjan Kumar Ayyadapu
18+ Years of IT experience
13+ Years in Big Data
100+ Node cluster admin
30% Cloud cost savings delivered
Anjan Kumar Ayyadapu

I bring 18+ years of overall IT experience, with 13+ years in Big Data, Hadoop, and hybrid cloud platform architecture — currently as a Senior Solution Architect at Cloudera, guiding enterprise customers through CDP modernization and Edge-to-AI adoption.

About

I have built my career across Big Data engineering, DevOps, UNIX/Linux administration, and project leadership. For more than 13 years, I have specialized in Hadoop ecosystem platforms, multi-node cluster operations, and enterprise data architecture — from CDH and HDP through modern Cloudera CDP, Spark, Iceberg, and Edge-to-AI solutions.

At Cloudera, I lead post-sales architecture from onboarding through production — designing CDP deployments, CML/CDE/CDF data services, CDH-to-CDP migrations, and Kubernetes-based implementations for regulated enterprises. I architect open lakehouse solutions on Apache Iceberg with interoperability across analytics platforms and Databricks workloads on AWS, drive Spark modernization with up to 60% query performance gains, and built a Python-based capacity planning tool that reduced CDP Data Services planning effort by 90%. Before Cloudera, at Amazon Web Services I supported escalated Big Data workloads across EMR, Glue, SageMaker, and Athena — optimizing Spark, Hive, and HBase performance, authoring customer-facing knowledge base content, and acting as a liaison between service engineering and customer support.

I also design hybrid data platforms, lead legacy workload migrations to AWS and GCP, and deliver generative AI solutions with strong data governance. My work spans solution design, hands-on implementation, and executive-level customer advisory for regulated industries. I hold certifications from AWS, IBM, Databricks, Google Cloud, Stanford, and PMI — including AWS Solutions Architect Professional and AWS Machine Learning Specialty. I am an FBCS Fellow, SCRS Fellow, Docker Captain, Senior IEEE Member, peer reviewer, keynote speaker, and published AI researcher with multiple patents.

  • 18+ years overall IT experience
  • 13+ years in Big Data, Hadoop, and cloud data platforms
  • MS Electrical Engineering, University of South Alabama
  • B.Tech, Jawaharlal Nehru Technological University
  • FBCS Fellow · SCRS Fellow
  • Languages: English, Telugu (native), Hindi
  • Research focus: AI, ML, Deep Learning — healthcare & insurance

Technical Skills

Platforms, tools, and domains I work with day to day.

Data Platforms

Cloudera CDP, CDH, HDP, Spark, Hive, Impala, HBase, Iceberg, NiFi, Kafka, Oozie, Pig, Sqoop, Flume

Cloud & DevOps

AWS (EMR, Glue, Lake Formation, S3, EKS), GCP, GKE, Terraform, Docker, Kubernetes, Jenkins, Puppet, Chef

Cloudera Services

CML, CDE, CDF, Cloudera Manager, Ambari, multi-node cluster administration, CDH to CDP migrations

AI / ML & Security

Generative AI, machine learning pipelines, Kerberos, Hadoop/Hive security, RBAC, encryption, compliance

Languages & OS

Python, shell scripting, PowerShell, Red Hat Linux, SUSE, Windows Server

Databases

MySQL, PostgreSQL, AWS RDS, large-scale distributed data stores

Experience

18+ years across solution architecture, Big Data platforms, cloud engineering, DevOps, and enterprise operations.

Senior Solution Architect

Apr 2022 – Present

Cloudera Inc. · McLean, VA

  • Work directly with customer technical teams to design Big Data architectures, CDP deployments, CML/CDE/CDF services, and Edge-to-AI solutions.
  • Lead enterprise post-sales architecture from onboarding and solution planning through production deployment, optimization, and platform growth.
  • Architect open lakehouse solutions on Apache Iceberg with interoperability across analytics platforms and Databricks workloads on AWS.
  • Manage Spark modernization initiatives and improve query performance by up to 60% through compute, partitioning, and shuffle optimization.
  • Built an automated Python capacity planning tool for CDP Data Services that reduced planning effort by 90% for customers and Professional Services.
  • Install and administer multi-node Hadoop clusters, CDH-to-CDP upgrades, and Kubernetes-based CDP data service implementations.
  • Act as technical liaison across Engineering, Product, Support, and Professional Services for escalations, security remediation, and product feedback.
  • Develop implementation guides, runbooks, and automation utilities that accelerate adoption and reduce deployment complexity.
  • Code Award for Commitment (2024) — recognized for prioritizing data-driven customer outcomes.

Cloud Support Engineer II — Big Data Specialist (EMR)

Apr 2021 – Apr 2022

Amazon Web Services

  • Supported escalated customer issues across EMR, Glue, SageMaker, DynamoDB, Athena, Personalize, and Hadoop architectures.
  • Provided proactive guidance on blockchain, machine learning, and Big Data frameworks within distributed Spark and Hive environments.
  • Developed troubleshooting workflows, tutorials, how-to videos, and knowledge base articles for the AWS customer community.
  • Deployed cloud applications using Python, PowerShell, JSON/YAML, and internal AWS tooling for complex production diagnostics.
  • Acted as liaison between service development and support engineering teams, leading tech sync meetings to relay customer feedback.
  • Optimized MapReduce, HDFS, Spark, and HBase performance using advanced troubleshooting and Java code analysis.
  • Performed network troubleshooting using TCP/IP, DNS, DHCP, firewalls, routing, traceroute, iPerf, dig, and cURL.
  • Built internal software applications for global engineering teams to improve end-to-end service support operations.

Solutions Consultant

May 2019 – Apr 2021

XScion Solutions LLC · Virginia

  • Led a diverse team of Data Engineers, DataOps Engineers, and DevOps Engineers across multiple geographic locations.
  • Migrated data and services from on-premises data centers to AWS and GCP using Puppet, Chef, and data pipelines.
  • Applied OS and Hadoop patches and upgraded clusters to the latest HDP versions, including Ambari and ecosystem components.
  • Managed HDP and HDF (NiFi) clusters with Apache Ranger, Kerberos, SSL certificates, and REST API automation.
  • Deployed Cloudbreak on AWS and administered RDBMS/NoSQL clusters in AWS VPC environments.
  • Installed fully distributed Hadoop clusters with rack awareness, Oozie workflows, and HBase major compactions.
  • Deployed GKE and EKS environments for containerized data platform delivery.

Lead Hadoop Engineer

Mar 2016 – May 2019

XScion Solutions LLC · Virginia

  • Installed and configured Hortonworks Data Platform 2.5, 2.6.4, and 3.0 on-premises and in AWS VPC.
  • Designed connectivity products for efficient data exchange between RDBMS engines and the Hadoop ecosystem.
  • Led cluster capacity planning, hardware planning, performance tuning, and major HDP upgrades.
  • Resolved production issues across Hive Metastore, Ambari Metrics, Ranger-Solr, Kafka, Storm, SSL/TLS, and HBase.
  • Configured load balancers, auto scaling, JDBC/SSL for PostgreSQL, Ambari-LDAP sync, and Kerberized clusters.
  • Improved HBase file locality and resolved region server failures during HDP upgrades from 2.3.2 to 2.6.4.
  • Delivered DataOps POCs with product and engineering teams. [X]ceptional xScioneer Award & Spot xScioneer Award.

Hadoop Engineer

Jun 2015 – Feb 2016

Tusker Solutions · Client: Apple · California

  • Installed, upgraded, and managed 300+ node Hadoop clusters on CDH with Cloudera Manager and Nagios.
  • Provided integration support for Splunk, Netezza, Teradata, and other RDBMS platforms.
  • Deployed Hadoop on-premises, Amazon EC2, and Rackspace OpenStack with Kerberos security.
  • Built Flume pipelines, Pig/Hive/Oozie workflows, DistCp migrations, and Sqoop imports from Teradata and Oracle.
  • Acted as Level 2 support with runbooks, automated onboarding/offboarding, and application capacity planning.
  • Performed CDH and OS upgrades, cluster monitoring with Ganglia/Nagios, and BI connectivity to HiveServer.

Deployment Project Manager

Oct 2012 – Nov 2013

IBM · Pune, India

  • Staffed and deployed 100+ SAP-skilled IBM consultants with monthly utilization forecasting and contribution reporting.
  • Led end-to-end data delivery for five applications supporting ibm.com and Lenovo.com product and pricing catalogs.
  • Managed operations across 14 teams in AP, EMEA, and NA while meeting SLAs and data integrity requirements.
  • Verified dashboards and scorecards for executive reporting on daily feed status and large-volume data delivery.

Hadoop / UNIX Administrator

Nov 2009 – Oct 2012

IBM · Pune, India

  • Installed and configured CDH3/CDH4, Cloudera Manager, Hive, Pig, MapReduce, HBase, and ZooKeeper clusters.
  • Developed MapReduce jobs in Java and Pig Latin scripts for terabyte-scale structured and unstructured data processing.
  • Implemented HBase coprocessors, Avro serialization, and sequence file processing for small-file optimization.
  • Worked with IBM DB2 Warehouse Edition, SQL Server Integration Services, and WebSphere DataStage ETL pipelines.
  • Best Performer awards from Deutsche Bank (2010, 2011) and IBM Best Performer & Coordinator (2010, 2011).

UNIX Administrator

Jun 2008 – Sep 2009

Wipro · Bangalore, India

  • Built Linux servers, applied patches, compiled kernels, and managed CentOS and Red Hat environments.
  • Configured Solaris Jumpstart servers, Apache hosting, networking, backup, and user management.
  • Performed disk partitioning, file system reorganization, log maintenance, and production issue resolution.

Research & Publications

Peer-reviewed articles, conference papers, patents, and thought leadership from ORCID and LinkedIn.

Peer-Reviewed Publications

2025

Deep Learning Models for Predictive Maintenance in Industrial IoT with Big Data Support

FMDB Transactions on Sustainable Intelligent Networks

2025

A Hybrid Machine Learning Model for Predictive Analytics in Big Data Frameworks

AVE Trends in Intelligent Computing Systems

2025

Fuzzy Logic and Machine Learning Hybrid Model for Influencing Consumer Purchasing Behavior in E-Commerce

2025 International Conference on Computing Technologies and Data Communication (ICCTDC)

2024

Revolutionizing Smart Infrastructure with Synergistic Applications of AI and Machine Learning

FMDB Transactions on Sustainable Intelligent Networks

2024

An Application of NB-GA Model: A Study of Logistics Performance and Economic Attributes

International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)

2024

Collaborative Recommender Systems for Building Automation: A Hybrid ANN-FOA Approach

1st International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)

2023

Optimizing Incident Response in Cloud Security with AI and Big Data Integration

Chelonian Conservation and Biology

2023

Enhancing Cloud Security With AI-Driven Big Data Analytics

International Neurourology Journal

2022

Privacy-Preserving Techniques in AI-Driven Big Data Cyber Security for Cloud

Chelonian Conservation and Biology

2022

Secure Cloud Infrastructures: A Machine Learning Perspective

International Neurourology Journal

2021

Securing Multi-Cloud Environments with AI and Machine Learning Techniques

Chelonian Conservation and Biology

2020

Automating Incident Response: AI-Driven Approaches to Cloud Security Incident Management

Chelonian Conservation and Biology

2019

Defending the Cloud: How AI and ML Are Revolutionizing Cybersecurity

Journal of Research Administration

2019

A Comprehensive Framework for AI-Based Threat Intelligence in Cloud Cyber Security

Journal of Basic Science and Engineering

Patents

2024

Securing Cloud Data with a Hybrid Approach: Machine Learning and Cryptosystems

Patent application publication

LinkedIn Articles

Community & Leadership

Certifications

AWS Solutions Architect Professional AWS Machine Learning Specialty IBM AI Engineering Professional IBM Applied AI Professional Cloudera Certified Hadoop Administrator Cloudera Certified Hadoop Developer HDP Certified Administrator (HDPCA) Predicting with Cloudera Machine Learning Databricks Google Cloud PMI

Honors & Awards

Cloudera Code Award for Commitment (2024) xScion Spot Award — Fannie Mae Migration (2017) IBM Excellence Award Deutsche Bank Excellence Award IBM ORION Recognition — Hyderabad

Contact

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