Suresh Mailaram

I’m a Data Architect/Cloud Architect and Corporate Trainer with over 15 years of IT industry experience in designing, building, and modernizing large-scale enterprise applications. Skilled in AWS, Azure, Kubernetes, and Python, with expertise in Data Governance, Cloud Security, Cost Optimization, and Cloud Migration using Pandas.

Passionate about mentoring professionals and enabling teams to build secure, scalable, and cost-efficient cloud data platforms aligned with business growth.

🧱 Architected and modernized cloud-native systems for global enterprise clients.
☁️ Expertise in AWS (Lambda, EKS, S3, Redshift) and Azure (ADF, Databricks, Synapse).
🔐 Implemented Zero Trust security models and encryption frameworks.
📊 Built ETL & real-time pipelines using Spark and Kafka.
⚙️ Automated CI/CD with Terraform & GitHub Actions.
🎓 Trained 3000+ professionals in Cloud, Data Engineering, DevOps and MLOps technologies.
🌩️ AWS Certified Solutions Architect – Professional (SAP-C01)
☁️ AWS Certified Solutions Architect – Associate (SAA-03)
🔧 Azure DevOps Engineer Expert (AZ-400)
💾 Azure Data Engineer Associate (DP-203)
🧠 Azure Database Administrator (DP-300)
☁️ Microsoft Azure Fundamentals (AZ-900)
📊 Azure Data Fundamentals (DP-900)
⚙️ ITIL Certified Professional
🗄️ Microsoft SQL Server Implementation & Maintenance (70-432)

Conducted 100+ global training programs covering Data Science with Python, Data Engineering, Data Analytics, Cloud Engineering, and Cloud Security. Delivered comprehensive, end-to-end learning paths that emphasize not only technical concepts but also their application to real-world business scenarios. Designed and implemented customized enterprise learning solutions, mentoring 3000+ professionals in successfully transitioning to Cloud and Data Engineering roles.

PWC

Data Analysis & Statistical Inference

👩‍💻 100+ Learners

Infosys, Dell, Wipro

Data Engineering

👩‍💻 200+ Learners

Wipro, EY

Microsoft Azure Cloud Solutions, AWS Data Engineering and Big Data

👩‍💻 200+ Learners

Simplilearn

Data Analytics, Cloud Engineering, Data Science with Python

👩‍💻 800+ Learners

NCPL

AWS Solution, SysOps, DevOps Architect

👩‍💻 800+ Learners

Intellipaat

Data Engineering

👩‍💻 50+ Learners

Meryltics

Azure Data Engineering

👩‍💻 100+ Learners

Purdue

AI/ML Core: Applied Data Science with Python

👩‍💻 200+ Learners

LatentView Analytics

AWS and Big Data

👩‍💻 50+ Learners

🎤 Inspiring Minds Through Tech Talks

I am a Passionate Tech Speaker with a global footprint, having delivered impactful sessions across India (Pune, Bangalore, Mumbai, Chennai) and the United States (Dallas, TX). I thrive on sharing practical knowledge that bridges technology and business — helping professionals understand complex technical topics in a simplified, real-world manner.

My sessions focus on SQL & Database Architecture, Cloud Infrastructure, Data Architecture, and Cost Optimization Strategies — empowering teams to build scalable, secure, and high-performance cloud ecosystems.

As an Active Speaker on Microsoft Platforms, I’ve delivered sessions on SQL Administration, Data Governance, and Cloud Security with Zero Trust Architecture, while also presenting internationally on Building Data Pipelines with AWS and Azure. Speaking and mentoring have always been my way of giving back to the tech community by sharing experiences and encouraging others to innovate fearlessly.

☁️ Cloud Migration & Modernization

Migrated legacy systems to AWS & Azure using Docker and Kubernetes, implementing CI/CD pipelines with Jenkins and GitHub Actions.

Impact: Reduced release time by 70% and improved scalability and reliability.

AWSAzureDockerKubernetesTerraformCI/CD

⚙️ Automation of ETL Workflows

Built automated ETL pipelines using AWS Glue, Airflow, and Azure Data Factory, integrating SQL and Python-based workflows.

Impact: Eliminated 90% of manual intervention and improved data reliability.

PythonAirflowAWS GlueADFSQL

💰 Cloud Cost Optimization

Developed cost monitoring and alerting dashboards via CloudWatch and Datadog to identify idle resources and optimize cloud spend.

Impact: Achieved 25–30% annual cost savings across multi-cloud environments.

CloudWatchDatadogAzure MonitorLambdaPython

📊 Database Performance Optimization

Performed SQL and API optimization for financial systems, enhancing Kafka event handling and database indexing.

Impact: Improved transaction speed by 49% and scaled to 200K+ daily transactions.

SQL ServerOracleKafkaSpring Boot

🔒 Secure ML Training Pipelines

Developed isolated AWS SageMaker ML pipelines with encryption and Zero Trust architecture for compliance-critical datasets.

Impact: Enabled secure, scalable ML workflows within enterprise data environments.

AWS SageMakerGlueRedshiftZero TrustPython

🧠 Enterprise Process Automation

Designed automation scripts for ETL error handling, issue detection, and reporting for enterprise data systems.

Impact: Reduced turnaround time and ensured proactive resolution of production issues.

InformaticaPower BIShellAutosysPython