01DEEPEST PRODUCTION EXPERIENCE
Amazon Web Services
EC2 · EKS · Lambda · VPC · ELB · Route 53 · S3 · RDS · DynamoDB · SageMaker · EventBridge · Step Functions · IAM · KMS · CloudWatch
AWS certified · AWS, Azure & Google Cloud · Denver, Colorado
Saikrishna Thatikonda
Cloud architecture
without provider limits.
Multi-Cloud Platform Engineer designing secure, resilient, observable, and cost-optimized systems across AWS, Azure, and Google Cloud—with portable foundations in Kubernetes, Terraform, data, MLOps, and AI.
01 / AWSProduction depthEKS · VPC · serverless · data
02 / AZUREEnterprise cloudAKS · VNets · identity · data
03 / GOOGLE CLOUDCloud-native scaleGKE · VPC · serverless · data
MULTI-CLOUD3×one architecture mindset
9+years engineering
production systems
production systems
60%faster model
deployment cycles
deployment cycles
20%+reduction in monthly
AWS spend
AWS spend
01 / PROFILE
Cloud-native. Platform-agnostic. Production-minded.
I translate the same durable architecture principles across providers: secure landing zones, segmented networks, least-privilege identity, automated infrastructure, managed Kubernetes, observable services, resilient data, disaster recovery, and measurable cost controls.
AWS is my deepest production environment. I also automate Azure and Google Cloud resources with Terraform and apply cloud-agnostic Kubernetes, CI/CD, security, data, and operations patterns—choosing native services based on workload requirements instead of provider preference.
02 / MULTI-CLOUD ENGINEERING
One architecture mindset.
Three cloud ecosystems.
Portable engineering foundations, mapped deliberately to each provider's strongest managed services.
02MULTI-CLOUD AUTOMATION
Microsoft Azure
Virtual Machines · AKS · Functions · VNets · Load Balancer · DNS · Blob Storage · Azure SQL · Entra ID · Key Vault · Azure Monitor
03MULTI-CLOUD AUTOMATION
Google Cloud
Compute Engine · GKE · Cloud Run · Cloud Functions · VPC · Cloud Load Balancing · Cloud DNS · Cloud Storage · Cloud SQL · IAM · Cloud Monitoring
Landing zones & governance
Account, subscription, and project hierarchy · guardrails · policies · tagging and labels · service catalogs · quota management
Networking & connectivity
VPC/VNet design · subnets · routing · firewalls · load balancing · DNS · peering · VPN · hybrid and multi-cloud connectivity
Identity & cloud security
IAM · RBAC · federation · least privilege · secrets · KMS · encryption · zero-trust patterns · audit controls · PII protection
Compute & containers
VMs · auto scaling · images · serverless · Docker · EKS/AKS/GKE · Helm · GitOps · service-to-service security
Storage & data platforms
Object, block, and file storage · managed SQL/NoSQL · backup · lifecycle · replication · lakehouse and streaming architectures
Reliability & disaster recovery
Multi-AZ and multi-region design · HA · failover · RTO/RPO · backup and restore · capacity planning · resilience testing
Infrastructure automation
Terraform modules · CloudFormation · Ansible · immutable images · CI/CD · policy and governance as code · drift management
Observability, SRE & FinOps
Metrics · logs · traces · SLOs · alerting · incident response · performance tuning · budgets · rightsizing · cost allocation
WELL-ARCHITECTED OUTCOMES
Secure
·Resilient
·High-performing
·Cost-optimized
·Operationally excellent
03 / SELECTED WORK
Systems built to create leverage.
Representative enterprise initiatives spanning multi-cloud, data, ML, and platform operations.
00MULTI-CLOUD PLATFORM
Terraform · Kubernetes · GitOps · AWS · Azure · GCP
Portable cloud foundations
Reusable infrastructure patterns for consistent provisioning, security controls, deployment workflows, and operations across cloud environments—without coupling the engineering model to one provider.
IaC repeatable environmentsK8s workload portabilityGitOps controlled delivery
01DATA PLATFORM
Databricks · Delta Lake · Spark · AWS
Unified self-service lakehouse
Consolidated 200+ sources into a governed medallion architecture, giving 50+ analysts independent access to trusted data products.
80% fresher data SLAs3× faster analytics
02MLOPS
MLflow · SageMaker · EKS · Airflow
Production-grade ML platform
A self-service lifecycle for 30+ models, with reusable features, automated validation, canary deployment, and drift-triggered retraining.
<2 days deployment99.5% uptime
03INTEGRATION
EventBridge · Kafka · API Gateway
API-first data integration
Unified event-driven connectivity across internal services, vendors, and analytics—replacing brittle point-to-point integrations.
65% less effort30+ links retired
04AI / OPERATIONS
Spark Streaming · Delta Lake · Databricks ML
Intelligent network operations
Real-time pipelines processing 10TB+ of telemetry per day, supporting predictive maintenance and automated incident intelligence at national scale.
55% lower MTTD200+ outages prevented$3M+ annual savings
05CURRENT EXPANSION
Python · LangChain · LangGraph · RAG · MCP · n8n
Agentic AI systems
Expanding from LLM application foundations into tool-using agents, stateful graphs, multi-agent patterns, Model Context Protocol integrations, and automated AI workflows.
RAG grounded contextMCP tool integrationn8n workflow automation
04 / EXPERIENCE
From infrastructure automation to AI platform leadership.
A career shaped by progressively larger systems, higher reliability requirements, and broader team impact.
Senior Data & AI Platform Engineer
Charter Communications
Leading cloud-native data and AI platform architecture, production MLOps, governance-as-code, reliability, and cloud efficiency. Mentoring engineers across US and India teams.
DevOps Engineer
Kantar
Modernized data analytics infrastructure on AWS, automated Spark pipeline delivery, and enabled self-service analytics for enterprise clients.
DevOps Engineer
MetrixLab
Migrated 50+ servers to AWS and built containerized, observable data infrastructure capable of supporting 3× growth in volume.
05 / CAPABILITIES
A full-stack view of the platform.
01
Multi-cloud architecture
AWS · Azure · Google Cloud · landing zones · networking · IAM · HA/DR · migration · FinOps
02
Data systems
Databricks · Spark · Delta Lake · SQL · Python · ETL/ELT · Feature Stores
03
ML in production
Kubeflow · MLflow · SageMaker · Airflow · Model serving · Drift detection
04
Engineering systems
CI/CD · GitOps · APIs · Observability · Security · Governance-as-code
05
Generative AI
OpenAI · Hugging Face · LangChain · LlamaIndex · Embeddings · Vector databases · RAG · Fine-tuning
06
Agentic systems
LangGraph · Tool-using agents · Multi-agent patterns · MCP · Memory and planning · n8n automation
06 / END-TO-END SCOPE
One accountable engineering path.
The goal is not to collect tools. It is to connect every layer required to take an intelligent system from idea to secure, observable production.
Cloud
Secure landing zones, infrastructure as code, Kubernetes, networking, identity, cost controls.
Data
Ingestion, lakehouse architecture, transformation, quality, governance, real-time delivery.
Models
Training pipelines, registries, deployment, serving, monitoring, drift, automated retraining.
AI apps
LLM APIs, embeddings, vector search, RAG, evaluation, guardrails, scalable inference.
Agents
Planning, memory, tools, LangGraph workflows, MCP integrations, and business automation.
NOW BUILDING DEEPER Agentic AI architecture and automation, grounded in 9+ years of production cloud, DevOps, data, and MLOps delivery.
07 / CONTACT