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10+ years of experience designing and leading cloud-native and hybrid data infrastructure. Expert in Cloud-based architecture,design, and deployment (Azure, AD DS, Azure AD, Exchange). Specialized in AWS Serverless Architecture, Infrastructure as Code(IaC) using Terraform, and dynamic ETL pipelines using Python, Glue, and Step Functions. Proven ability to deploy scalable, secure, and cost-effective cloud environments. Skilled in CI/CD automation, real-time data streaming, and event-driven architecture across financial and enterprise-grade workloads.
My technical toolkit spans data engineering, cloud platforms, machine learning, and modern DevOps practices.
A selection of my most impactful work showcasing my expertise in data engineering, data analysis, and cloud architecture.
A lightweight, scalable, and cost-effective serverless visitor tracking system built with AWS Lambda, API Gateway, and DynamoDB. Designed to collect visitor logs from your website with zero infrastructure management.
Real-time analytics with Spark, Airflow, and AWS S3. Deployed on Docker with Tableau for insights.
Sales Analytics Data Pipeline with PySpark and Star Schema Modeling.
The goal is to create a unified customer view for analytics and business intelligence dashboards.
The pipeline efficiently processes IoT, energy, and AI workflow data using event-driven architectures.
This project demonstrates how to deploy a basic webpage hosting environment using AWS CloudFormation. It provisions an EC2 instance, assigns it an Elastic IP, and secures it using a custom Security Group.
This project demonstrates USA Crime Report.
This project demonstrates the analysis of Food Delivery.
This project demonstrates the analysis of Credit Worthiness.
This project demonstrates the analysis of Sales Performance.
This project demonstrates the analysis of Customer Profitibility.
Professional credentials validating my expertise in cloud platforms, data engineering, and machine learning.
Validated expertise in designing distributed systems on AWS.
Can readily clean, visualize and summarize data analysis technic.
Conduct a hypothesis test to identify insights about data.
Advanced data visualization and business intelligence skills.
This interactive guide will help you prepare for common cloud experiences.
This interactive guide will help you prepare for common AWS interview questions when transitioning from a Data Engineering role to a Cloud Engineering position. Review these questions and answers to boost your confidence and technical knowledge.
We'll compare AWS database services and clarify where and how to use each for your cloud-native architectures.
Insights and experiences from my journey in data engineering, cloud computing, and machine learning.
In this personal article, I share the challenges, learning curves, and rewards of transitioning from traditional data engineering to modern cloud-based machine learning architecture.
A personal and professional journey from the structured world of Data Engineering to the dynamic realm of Machine Learning in the cloud.
Talend, a leading data integration platform, provides a robust solution for seamlessly transitioning your on-premises database to Snowflake’s cloud-based data warehouse.
Serverless computing represents a paradigm shift in how we build and deploy applications, offering unprecedented scalability, cost-efficiency, and operational simplicity.
Interested in working together or have a question about my experience? I'd love to hear from you.
Dhaka, Bangladesh
Available for remote work worldwide
