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Hey There!
I'm Mohamed Hussain S, a Data Engineer turning real-world problems into solutions with code and curiosity.

View Resume
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name:'Mohamed Hussain S',
skills:['Python', 'SQL (Advanced)', 'Bash (Basics)', 'ClickHouse', 'PostgreSQL', 'MySQL', 'Apache Airflow', 'Git & GitHub', 'VS Code'],
hardWorker:true,
quickLearner:true,
problemSolver:true,
hireable:function() {
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Driven by Curiosity, Fueled by Data

Associate Data Engineer focused on building and operating real-time data systems. I work with ClickHouse, Kubernetes, PostgreSQL, and modern infrastructure to design scalable pipelines, understand system internals, and deploy reliable data platforms.

Mohamed Hussain S
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Experience
Skills
PROJECTS

ClickHouse Metrics Extractor

constproject={
name:'ClickHouse Metrics Extractor',
tools: ['Python', 'Airflow', 'Docker', 'ClickHouse', 'clickhouse-connect],
myRole:Intern Project | Automation & Monitoring,
Description: Built an automated system to collect ClickHouse internal metrics every hour using Airflow. Stored results in daily CSV files using Docker containers and Python scripts. Helped practice metric monitoring, logging, and scheduled data capture.,
};

COVID-19 Data Pipeline

constproject={
name:'COVID-19 Data Pipeline',
tools: ['Python', 'Airflow', 'Docker', 'PostgreSQL', 'Requests],
myRole:Intern Project | ETL & Scheduling,
Description: Designed a complete data pipeline to pull COVID-19 stats from an API, process it, and store it in PostgreSQL. Used Airflow for orchestration and Docker for containerization. Focused on real-world ETL, retries, and modular scheduling.,
};

TrendLite - Live Retail Insights

constproject={
name:'TrendLite - Live Retail Insights',
tools: ['Python', 'Streamlit', 'ClickHouse', 'Altair', 'Pandas],
myRole:Intern Project | ETL & Visualization,
Description: Deployed a real-time sales dashboard using Streamlit and ClickHouse. Included dynamic date filters and visuals for KPIs like revenue trends, product performance, and category insights.,
};

AutoTrend - Demand Prediction

constproject={
name:'AutoTrend - Demand Prediction',
tools: ['Python', 'Streamlit', 'Scikit-learn', 'Pandas', 'YData Profiling],
myRole:Capstone Project | Team of 2,
Description: Created a no-code tool for demand prediction using AutoML. Included EDA, model selection, and ensemble-based prediction with a focus on user-driven configuration and visual results.,
};
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Education
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Oct 2021 - May 2025

B.E. Computer Science and Engineering

Rajalakshmi Engineering College, Chennai, India

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Jun 2019 - May 2021

High School Diploma, Science Stream

International Indian School Jeddah, Saudi Arabia

Blogs
Understanding the Replication Queue in ClickHouse

38

Understanding the Replication Queue in ClickHouse

5 Min Read

I was testing out CH-Ops - an admin GUI for self-hosted ClickHouse - on a simple setup: 1 shard, 2...

ClickHouse 26.8 LTS: 57 Breaking Changes Since 26.3

217

ClickHouse 26.8 LTS: 57 Breaking Changes Since 26.3

17 Min Read

If you run ClickHouse in production, you're probably on 26.3 LTS. And now 26.8 LTS has been...

Understanding the ORC File Format: Why Is It So Fast

34

Understanding the ORC File Format: Why Is It So Fast

8 Min Read

Every article about ORC says the same thing. "Columnar storage, built-in indexes, predicate pushdown...

Contact Me

Got a question, opportunity, or just want to say Hi?
I’m always open to connecting and collaborating on ideas that match my skills and interests.

mohhddhassan@gmail.com

+91 77088 67386

Chennai, India

© Developer Portfolio by Mohamed Hussain S

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