Portfolio • Data Engineering • AI-ready

Nasrul Hasan — AWS Data Engineer

Designing secure, observable, and scalable pipelines with Airflow, Python, Spark, S3, and Snowflake. I blend DevOps rigor with data engineering craft so teams can ship faster with trustable data.

Years in data
4+ years
Pipelines, governance, observability
Cloud focus
AWS + Snowflake
Secure ingestion and warehousing
Automation
Airflow + CI/CD
Reliable deploys, proactive alerting
GitHub LinkedIn Moments
Nasrul Hasan
S3S3SnowflakeSnowflakeLambdaLambdaGlueGlueSNSSNSSQSSQSPythonPythonGitHubGitHubJiraJiraSparkSparkMySQLMySQLPostgreSQLPostgreSQLS3S3SnowflakeSnowflakeLambdaLambdaGlueGlueSNSSNSSQSSQSPythonPythonGitHubGitHubJiraJiraSparkSparkMySQLMySQLPostgreSQLPostgreSQL

Tech Stack Playground

Tools I ship data products with

Animated with the same glow language as the contact page.

Live stack • updated weekly
AWS
AWS
Data backbone
Python
Python
Data backbone
SQL
SQL
Data backbone
Snowflake
Snowflake
Data backbone
Airflow
Airflow
Data backbone
Apache Spark
Apache Spark
Data backbone

Frameworks

Core stacks to build pipelines with. Extensible for Databricks, etc.

Event-Driven Pipeline

S3 → SNS → SQS → Lambda → RDS
AWS S3AWS S3
SNSSNS
SQSSQS
LambdaLambda
RDSRDS

Data Warehouse

S3 → Glue → Redshift
AWS S3AWS S3
GlueGlue
RedshiftRedshift

Big Data Processing

S3 → Airflow → EMR → S3
AWS S3AWS S3
AirflowAirflow
EMREMR

Custom Data Platform

AWS • Python • Snowflake • Databricks
AWS (any service)AWS (any service)
PythonPython
SnowflakeSnowflake
DatabricksDatabricks

Projects from GitHub

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Medallion Architecture IaC
Medallion Architecture IaC
S3 → SNS → SQS → Lambda
Data Warehouse
Data Warehouse
S3 → Glue → Redshift
Big Data Processing
Big Data Processing
S3 → Airflow → EMR → S3