$ shohanuzzaman
Infrastructure & Cloud Dhaka, Bangladesh·available for work
❯kubectl get engineer

Md. Shohanuzzaman

Associate Software Engineer

DevOps Engineer — Kubernetes, Terraform & CI/CD pipelines

800+
CP problems
3
AWS certs
4+
stacks deployed
2y+
industry exp
View Projects Contact
MS
online
md.-shohanuzzaman@portfolio:~
$ cat profile.yaml
name:      Md. Shohanuzzaman
role:      Associate Software Engineer
location:  Dhaka, Bangladesh
focus:     Infrastructure & Cloud
email:     shishirshohanuzzaman@gmail.com
phone:     +880 1713772335
$ cat intro.md

Short introduction

I'm Shohanuzzaman — a software engineer focused on turning raw operational data into reliable, queryable intelligence. Day to day I design data lakehouse systems, write Terraform for full AWS stacks, and automate multi-stack deployments with GitLab CI/CD. I love DevOps ergonomics, Agentic AI patterns, and shipping infrastructure that teammates actually enjoy using. Currently based in Dhaka, Bangladesh, open to remote engagements.
Solved
800+
CP problems
AWS certs
3
Academy
Stacks
4+
multi-stack CI/CD
Experience
2y+
industry
Data Lakehouse

Medallion-architecture pipelines with ClickHouse, dbt, Airbyte, MinIO and Airflow.

Cloud & IaC

Config-driven Terraform for full-stack AWS environments. Kubernetes on self-managed EC2.

CI/CD Automation

Shared GitLab pipeline libraries covering .NET, Flutter, React Native, Angular with Docker.

Agentic AI

LLM-assisted dbt model generation from source schemas; MindsDB natural-language SQL.

$ cat about.md

About me

DevOps & AI/ML Engineer — cloud infrastructure, data pipelines, and intelligent automation.

Motivated software engineer with hands-on experience building and deploying cloud-native data platforms on Kubernetes, specialising in Medallion Architecture (Bronze → Silver → Gold) for banking-scale analytical workloads. Proficient in CDC-based ELT ingestion with Airbyte, columnar data modelling in ClickHouse, dbt-driven transformation pipelines, and pipeline orchestration with Apache Airflow. Experienced in AI-assisted automation — including LLM-based dbt model generation from source schemas — and integrating natural language query interfaces via MindsDB. Skilled in AWS infrastructure provisioning with Terraform and GitLab CI/CD automation across heterogeneous technology stacks. Passionate about competitive programming and driven by the challenge of turning raw operational data into reliable, queryable intelligence.

Tools & Technologies

Data & Warehousing
ClickHouse
ClickHouse
dbt
dbt
Airbyte OSS
Airbyte OSS
Apache Airflow
Apache Airflow
Apache Superset
Apache Superset
MindsDB
MindsDB
MinIO
MinIO
Infrastructure & Cloud
Terraform
Terraform
AWS
AWS
GCP
GCP
Docker
Docker
Kubernetes
Kubernetes
CI/CD
GitLab CI/CD
GitLab CI/CD
Nginx
Nginx
Databases
Oracle
Oracle
MongoDB
MongoDB
MySQL
MySQL
PostgreSQL
PostgreSQL
SQLite
SQLite
Languages
Python
Python
Bash
Bash
C++
C++
Dart
Dart
JavaScript
JavaScript
C#
C#
Frameworks
ASP.NET Core
ASP.NET Core
Flutter
Flutter
React
React
Next.js
Next.js

Education

Shahjalal University of Science and Technology, Sylhet
B.Sc. in Computer Science & Engineering

Certifications

AWS Academy Cloud Web Application BuilderSep 2024
AWS Academy Cloud DevelopingMay 2024
AWS Academy Cloud FoundationsMar 2024
Intro to Machine LearningOct 2023

Interests

DevOpsData LakehouseCloud ComputingAgentic AIWorkflow AutomationCompetitive Programming
$ ls ./projects

Selected work

Hand-picked projects covering infrastructure, data, and full-stack development.

Nifty Lakehouse

Banking Data Lakehouse on Kubernetes with CDC-driven Medallion Architecture.

CLClickHouseDBdbtAIAirbyteAirflowAirflowMIMinIO+5
details →
Deploy Fusion

Modular config-driven Terraform framework for full-stack AWS environments.

TerraformTerraformAWAWS IAMVPVPCECEC2AUAurora+5
details →
CI/CD Build Scripts

Shared GitLab CI/CD pipeline library for .NET, Angular, React Native and Flutter.

GIGitLab CI/CDAWAWS S3ECEC2NginxNginxLELet's Encrypt+2
details →
SmartClinic

Production desktop healthcare management app used by a medical practitioner.

.NET.NETWPWPFC#C#SQLSQL
details →
Call Mechanic

On-demand mechanic platform with real-time availability.

FlutterFlutterDADartSQLSQL
details →
$ git log --experience

Work experience

Aug 2025 — Present

Associate Software Engineer

Nifty Coders Pvt. Ltd. · Dhaka, Bangladesh

Designing banking-scale data lakehouse systems and CI/CD automation across multi-stack projects.

  • Designed and deployed a Banking Data Lakehouse on a self-managed single-node Kubernetes cluster (kubeadm + Calico) on AWS EC2, implementing a Kappa-aligned Medallion Architecture with Airbyte, MinIO, ClickHouse, dbt, Airflow, Apache Superset, and MindsDB.
  • Configured dual CDC sources in Airbyte OSS — Oracle XE via LogMiner and MySQL 8.0 via GTID binlog — landing Parquet into MinIO; ClickHouse reads directly from MinIO via S3-compatible external tables with dbt materialising Silver and Gold.
  • Orchestrated pipelines with Apache Airflow; implemented AI-assisted dbt model generation from source schema definitions.
  • Integrated MindsDB AI agent for natural-language SQL over Gold tables and built Apache Superset dashboards for business metrics and anomaly reporting.
  • Developed Deploy Fusion, a modular config-driven Terraform framework covering the full AWS stack — networking, IAM, compute, managed DBs, CDN, DNS — deployable from a single JSON config.
  • Built a shared GitLab CI/CD pipeline library for multi-stack deployments (.NET, Angular, React Native, Flutter) to AWS EC2 via Docker and ECR, with automated Nginx, DNS, Let's Encrypt SSL and SES notifications.
  • Wrote reusable Bash libraries for AWS STS role assumption, Secrets Manager integration, and EC2 lifecycle management, shared across pipelines.
KubernetesKubernetesCLClickHouseDBdbtAIAirbyteAirflowAirflowMIMinIOMIMindsDBSUSupersetTerraformTerraformAWSAWSGIGitLab CI/CDDockerDocker
$ curl -X POST /contact

Get in touch

Whether it's a DevOps engagement, a data platform build-out, or an AI-automation project — drop a line and I'll get back to you within a day.

Response time
< 24h
on weekdays
Location
Dhaka, Bangladesh
UTC+6 · remote-friendly
Availability
Open
accepting new engagements
FAQ
> What time zones do you work in?

Dhaka (UTC+6). I overlap comfortably with EU mornings and APAC all day; US evenings work fine for syncs.

> Do you take short engagements?

Yes — from a week-long Terraform audit to multi-month platform builds. Whatever fits the problem.

> How fast do you reply?

Usually within 24 hours on weekdays. If it's urgent, mention it in the subject.