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Mohamed Hussain S

Exploring OLAP DBs like ClickHouse & building data infra with Airflow, Docker & PostgreSQL.

Location Chennai, India Joined Joined on  Personal website https://my-portfolio-mohamed-hussain-ss-projects.vercel.app/ github website

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Associate Data Engineer @ Quantrail Data Chennai, India

Why My S3 Backup Setup Broke: Buckets, “Folders”, and Scheduling Misconceptions
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Why My S3 Backup Setup Broke: Buckets, “Folders”, and Scheduling Misconceptions

#aws #s3 #cloudstorage #dataengineering
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3 min read

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Debugging a Broken Metrics Pipeline: What Actually Went Wrong
mohhddhassan profile

Debugging a Broken Metrics Pipeline: What Actually Went Wrong

#dataengineering #clickhouse #vector #debugging
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3 min read
From Pipelines to Transforms: Making Vector Work with ClickHouse
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From Pipelines to Transforms: Making Vector Work with ClickHouse

#dataengineering #clickhouse #observability #vector
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3 min read
Understanding Vector Pipelines: From Config Files to Data Flow
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Understanding Vector Pipelines: From Config Files to Data Flow

#dataengineering #clickhouse #observability #backend
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3 min read
Why My Metrics Pipeline with Telegraf Didn’t Work (and What I Learned)
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Why My Metrics Pipeline with Telegraf Didn’t Work (and What I Learned)

#dataengineering #clickhouse #devops #observability
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2 min read
Full Text Search in ClickHouse: What Works in 2026
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Full Text Search in ClickHouse: What Works in 2026

#clickhouse #database #backend #opensource
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3 min read
When Synthetic Data Lies: A Hidden Correlation Problem I Didn’t Expect
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When Synthetic Data Lies: A Hidden Correlation Problem I Didn’t Expect

#dataengineering #clickhouse #analytics #debugging
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3 min read
How ClickHouse + Superset Work Together for Analytics (And What Actually Matters)
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How ClickHouse + Superset Work Together for Analytics (And What Actually Matters)

#clickhouse #superset #analytics #database
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4 min read
Managing Large PostgreSQL Tables with Native Partitioning and pg_partman
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Managing Large PostgreSQL Tables with Native Partitioning and pg_partman

#postgres #database #backend #devops
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3 min read
PostgreSQL Backups and Point-in-Time Recovery with pgBackRest
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PostgreSQL Backups and Point-in-Time Recovery with pgBackRest

#postgres #database #devops #opensource
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4 min read
How Debezium Uses PostgreSQL WAL for Change Data Capture
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How Debezium Uses PostgreSQL WAL for Change Data Capture

#postgres #backend #database #devops
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4 min read
How PostgreSQL WAL Actually Works (And Why Everything Depends On It)
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How PostgreSQL WAL Actually Works (And Why Everything Depends On It)

#postgres #database #backend #devops
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4 min read
Why 'FINAL' in ClickHouse Is Usually a Design Smell
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Why 'FINAL' in ClickHouse Is Usually a Design Smell

#clickhouse #performance #backend #dataengineering
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3 min read
Two ClickHouse Internals That Change How You Write Queries
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Two ClickHouse Internals That Change How You Write Queries

#clickhouse #database #backend #performance
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4 min read
Understanding Change Data Capture with Debezium
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Understanding Change Data Capture with Debezium

#cdc #datapipelines #debezium #kafka
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4 min read
Apache Iceberg Explained: From Data Lakes to Metadata, Snapshots, and Real-World Usage
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Apache Iceberg Explained: From Data Lakes to Metadata, Snapshots, and Real-World Usage

#datalake #apacheiceberg #dataengineering #bigdata
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4 min read
Analyzing and Optimizing a Parquet ClickHouse Ingestion Pipeline
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Analyzing and Optimizing a Parquet ClickHouse Ingestion Pipeline

#dataengineering #etl #clickhouse #python
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3 min read
Clean Code in ETL:How Python, Go, and SQL Each Teach You to Think Differently
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Clean Code in ETL:How Python, Go, and SQL Each Teach You to Think Differently

#dataengineering #python #go #sql
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3 min read
Why Parquet Is Everywhere - And What Makes It Actually Fast?
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Why Parquet Is Everywhere - And What Makes It Actually Fast?

#dataengineering #parquet #bigdata #dataarchitecture
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3 min read
🐝 Why Hive Exists - And Why Its Complexity Is Actually Necessary
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🐝 Why Hive Exists - And Why Its Complexity Is Actually Necessary

#architecture #bigdata #dataengineering #hive
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3 min read
Polyglot Data Engineering: Python + Go in the Same Pipeline
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Polyglot Data Engineering: Python + Go in the Same Pipeline

#dataengineering #python #go #clickhouse
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2 min read
Scaling Databases with ClickHouse Sharding (Hands-On Simulation)
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Scaling Databases with ClickHouse Sharding (Hands-On Simulation)

#clickhouse #olap #dataengineering #resources
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2 min read
From Python to ClickHouse: Parquet ETL with Go
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From Python to ClickHouse: Parquet ETL with Go

#go #python #parquet #clickhouse
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2 min read
⚡ 3 ClickHouse Query Optimization Lessons I Learned the Hard Way
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⚡ 3 ClickHouse Query Optimization Lessons I Learned the Hard Way

#clickhouse #dataengineering #performance #sql
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3 min read
🧠 From Hive and Elastic to ClickHouse: What Surprised Me
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🧠 From Hive and Elastic to ClickHouse: What Surprised Me

#clickhouse #sql #hive #elasticsearch
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3 min read
⚡ Kafka ClickHouse: Real-Time Data Pipeline for Beginners
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⚡ Kafka ClickHouse: Real-Time Data Pipeline for Beginners

#dataengineering #kafka #clickhouse #docker
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2 min read
Extracting System Metrics from ClickHouse Using Airflow & Docker
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Extracting System Metrics from ClickHouse Using Airflow & Docker

#clickhouse #airflow #docker #python
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3 min read
My First Data Pipeline Project Using Airflow, Docker & Postgres (COVID API Edition)
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My First Data Pipeline Project Using Airflow, Docker & Postgres (COVID API Edition)

#dataengineering #postgres #airflow #docker
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2 min read
Why ClickHouse is a Game-Changer for OLAP: Speed, Architecture, Pros & Cons
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Why ClickHouse is a Game-Changer for OLAP: Speed, Architecture, Pros & Cons

#database #clickhouse #analytics #bigdata
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2 min read
Building My First Real-Time Dashboard with ClickHouse and Streamlit: TrendLite Breakdown
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Building My First Real-Time Dashboard with ClickHouse and Streamlit: TrendLite Breakdown

#clickhouse #dataengineering #python #streamlit
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2 min read
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