Tanvir Alam
Data Analyst
Birmingham, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolTanvir Alam is a data analyst at AWS with nine years of technical experience and a strong track record building cloud-native data pipelines using Lambda, S3, Redshift, Glue and Athena to automate ingestion and reduce processing times by around 40%. He designs scalable ETL for real-time and batch workloads, manages RDS/DynamoDB storage, and has deployed ML models via SageMaker in collaboration with data science teams. Comfortable across Python, SQL, Power BI and advanced Excel, he also leverages CloudFormation and Terraform to provision secure, cost-optimized infrastructure. Beyond analytics, he has contributed to the high-profile aws/eks-anywhere project, improving Docker provider logic and validation for Kubernetes worker nodes—reflecting hands-on DevOps and back-end skills. With an MEng in Data Analytics and a background in electrical engineering, he blends rigorous academic training with practical cloud engineering. Based in Birmingham, he’s focused on turning complex datasets into actionable insights and operationalizing models in production.
9 years of coding experience
Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.89, Bachelor of Engineering - BE, Electrical and Electronics Engineering, 3.89 at International Islamic University ChittagongMaster of Engineering - MEng, Data Analyst, 3.82, Master of Engineering - MEng, Data Analyst, 3.82 at Coventry University
Github Skills (13)
amazon-eks10
kubernetes10
docker10
go10
k8s10
dockers10
kubernetes-pods10
kubernetes-cluster9
kubernetes-deployment9
testing8
devops8
azure-devops7
yaml7
Programming languages (5)
Github contributions (5)
aws/eks-anywhere
Oct 2022 - Jan 2023
Run Amazon EKS on your own infrastructure 🚀
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:3 releases, 115 reviews, 8 commits in 3 months
Contributions summary:Tanvir contributed to the `aws/eks-anywhere` repository by implementing and refining features related to the Docker provider, specifically in the context of Kubernetes deployments and worker node management. Their work involved improving error messages, optimizing the handling of worker nodes, and integrating validation checks. They also focused on setting up and validating cluster creation within the Docker provider, as well as refactoring and testing existing validation logic. This involved modifying core provider code, testing infrastructure and reconciliation logic.
kubernetes-deploymentamazon-ekstinkerbellhelmamazon
tatlat/eks-anywhere
Oct 2022 - Mar 2025
Run Amazon EKS on your own infrastructure 🚀
Contributions:724 pushes, 143 branches in 2 years 5 months
amazon-ekshelmamazoninfrastructureeks
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