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Cloud Engineer
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Syed Shah Arham.

Cloud Engineer

Building scalable, resilient infrastructure on AWS. Passionate about serverless architecture, data pipelines, and cloud-native solutions that power real-world systems.

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About Me

Building on the cloud
since day one.

I design and build scalable cloud infrastructure on AWS — architecting data pipelines, automating workflows, and delivering end-to-end solutions that turn raw data into real business value.

Built serverless pipelines on AWS and now going deeper into cloud infrastructure, security, and DevOps — focused on understanding the architecture and design decisions that make systems truly production-ready.

"Every project is designed to scale. Every deployment is built to last."
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Months on AWS
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Projects Built
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AWS Services
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Pipelines Developed

Technical Skills

What I work with.

☁️
AWS Cloud
Core compute, storage & messaging services
Lambda S3 EC2 SQS SNS DynamoDB EventBridge ALB ASG
🔧
Data Engineering
Pipelines, warehousing & orchestration
Apache Airflow Snowflake ETL Pipelines AWS Glue DynamoDB SQL Athena
⚙️
DevOps & Tools
Infrastructure, automation & monitoring
Docker Python Git ECS EKS AWS Beanstalk CloudFormation CloudWatch

Projects

Things I've built.

01 — Data
↗
Real-Time S&P 500 Intraday Data Pipeline
A fully automated ETL pipeline to pull, transform, and load live S&P 500 intraday market data into cloud storage and a data warehouse — end-to-end.
Python AWS S3 Snowflake Apache Airflow Docker
02 — Realtime
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Real-Time Weather Forecasting Pipeline
A robust serverless data pipeline designed to automate the collection, processing, and visualization of weather forecast data at scale.
AWS Lambda EventBridge S3 Snowflake Looker Studio
03 — AWS
↗
AWS S3 → Glue → Redshift Pipeline
An end-to-end AWS data pipeline using S3, Glue Crawler, Athena, and Redshift to ingest, catalog, transform, and deliver data for analytics.
AWS S3 Glue Athena Redshift
04 — Serverless
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AWS Stock Data Pipeline
A fully serverless, event-driven ETL pipeline on AWS. Generates and processes synthetic stock market data through an orchestrated Lambda-SQS-DynamoDB flow.
Lambda S3 SQS DynamoDB

Contact

Let's connect.

Open to cloud engineering roles, collaborations, and conversations about AWS architecture. Drop a message anytime.

thisisshaharham@outlook.com
☁ Hosted on Vercel