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Muhammad Sameer Farooq

Senior DevOps Engineer

I engineer reusable, governed platforms — infrastructure as code, CI/CD, and serverless observability — with Terraform, Terragrunt, Docker, and Python across 50+ AWS accounts.

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Illustration of a central control plane governing multiple AWS accounts as code

About

I build and automate secure, scalable AWS cloud platforms across complex multi-account environments — turning infrastructure into reusable, repeatable platforms that help engineering teams ship faster and operate more reliably. With 4+ years across DevOps, cloud infrastructure, and data engineering, I've designed and modernized production environments spanning 50+ AWS accounts: reusable Terraform and Terragrunt frameworks, automated delivery with GitHub Actions, GitLab CI, and AWS CodePipeline, and secure AWS networking with VPC segmentation and least-privilege access. My work has reduced deployment lead time by 60%, optimized ETL pipelines by up to 70%, and cut AWS DMS alert noise by 95% through a serverless, event-driven observability platform built on CloudWatch, Lambda, DynamoDB, and CloudTrail.

50+
AWS accounts managed as code
60%
Faster deployment lead time
70%
Faster ETL pipelines
95%
Less operational alert noise

Infrastructure as Code & Delivery

Multi-account AWS platforms built as reusable Terraform and Terragrunt modules across 50+ accounts, with zero-downtime CI/CD on ECS Fargate that cut deployment lead time by 60%.

AWSTerraformTerragruntGitHub ActionsDocker

Data Platform & Governance

Governed, secure data access with Lake Formation TBAC/RBAC and IAM role chaining — Redshift warehouses and Glue/PySpark pipelines tuned up to 70% faster across multi-account environments.

RedshiftGlueAthenaDMSEMRLake Formation

Serverless & Python Automation

Event-driven observability and cloud automation in Python — a serverless AWS DMS platform on Lambda, CloudWatch, and DynamoDB that cut alert noise by 95%, plus REST APIs and data-extraction pipelines.

PythonLambdaBoto3DjangoCloudWatch

Experience

Four-plus years across DevOps, cloud infrastructure, and data engineering.

NorthBay Solutions

Aug 2024 – Present

Senior Software Engineer — DevOps

  • Architected and modernized multi-tier AWS infrastructure across 50+ accounts using Terraform and Terragrunt, developing reusable IaC modules and automated GitHub Actions workflows that standardized provisioning, improved governance, and reduced infrastructure drift.
  • Engineered AWS data-platform and governance infrastructure across Amazon Lake Formation, Amazon DataZone, Amazon Redshift, and Amazon EMR, implementing Tag-Based Access Control (TBAC), Role-Based Access Control (RBAC), and IAM role chaining to enable governed, secure, and scalable data access across AWS environments.
  • Hardened multi-account AWS networking and security through optimized CIDR allocation, public/private subnet isolation, VPC Peering, granular Security Groups/NACLs, and least-privilege IAM policies, strengthening cross-account connectivity and reducing unnecessary network exposure.
  • Reduced deployment lead time by 60% by engineering automated CI/CD workflows with GitHub Actions and AWS CodePipeline, enabling repeatable, zero-downtime containerized deployments on Amazon ECS Fargate and reducing manual release operations.
  • Architected a serverless AWS DMS observability platform using Python-based Lambda functions, CloudWatch, DynamoDB, and CloudTrail, reducing operational alert noise by 95% through event processing, log deduplication, and automated alert aggregation.
  • Implemented zero-touch monitoring for AWS DMS migration tasks by dynamically responding to CloudTrail events and configuring CloudWatch subscription filters, achieving 100% monitoring coverage without manual intervention.
  • Automated AWS Elastic Beanstalk application deployments, building repeatable zero-touch provisioning and deployment workflows that accelerated release cycles and standardized environment configuration across deployments.

Strategic Systems International

Jul 2022 – Jul 2024

  1. Python Engineer

    Sep 2023 – Jul 2024

    • Developed high-performance REST APIs using Django REST Framework, optimizing data serialization and request-response cycles to ensure rapid data transmission across distributed systems.
    • Delivered backend services for client projects using Django and FastAPI with MongoDB and PostgreSQL.
    • Automated backend testing workflows and operational tasks, authoring reusable test suites and integration scripts to eliminate manual verification and accelerate delivery.
    • Engineered robust web scrapers and data-extraction pipelines in Python with Selenium and BeautifulSoup, automating the extraction, preprocessing, and structuring of multi-source unstructured data for downstream analytics.

  2. DevOps Engineer

    Feb 2023 – Sep 2023

    • Automated cloud infrastructure provisioning across AWS accounts using Terraform, replacing manual configurations with modular, reusable Infrastructure-as-Code modules.
    • Architected dynamic GitLab CI/CD pipelines, enabling automated environment switching and zero-downtime containerized deployments by pushing Docker images to Amazon ECR and deploying to Amazon ECS.
    • Accelerated frontend application delivery by orchestrating static asset deployments to Amazon S3 paired with automated CloudFront CDN cache invalidations.
    • Led R&D and technical proof-of-concepts on database versioning frameworks, IaC governance, and PySpark data processing, establishing implementation patterns for engineering teams.

  3. Data Engineer

    Jul 2022 – Feb 2023

    • Architected analytical data warehouses on Amazon Redshift, implementing optimized columnar schemas and dimensional data models for high data integrity, reliability, and fast BI query execution.
    • Optimized large-scale ETL pipelines by up to 70%, utilizing AWS Glue (PySpark) and AWS Database Migration Service to ingest, clean, and transform data from PostgreSQL databases, transactional logs, and raw CSV files.
    • Deployed an AWS Data Lake architecture on Amazon S3, leveraging Amazon Athena for serverless SQL querying, data validation, and automated schema enforcement across disparate datasets.
    • Streamlined analytical data discovery and reporting workflows, accelerating query performance and reducing processing overhead for downstream business intelligence consumers.

ML Sense

Feb 2022 – Mar 2022

Python Developer Intern

  • Enhanced a Django web application, optimizing code for reliability and user experience.
  • Developed APIs and scrapers to extract and preprocess data from diverse sources.

Projects

Selected work across infrastructure, data, and the web.

Skills

Technologies and tools I work with.

Cloud & Infrastructure

Infrastructure as Code

  • Terraform
  • Terragrunt

Compute & Containers

  • AWS ECS Fargate
  • AWS ECR
  • AWS Lambda
  • AWS EC2
  • AWS Elastic Beanstalk

Networking & Delivery

  • AWS VPC
  • AWS CloudFront
  • AWS S3

Integration & Managed Services

  • AWS SQS
  • AWS SNS
  • AWS SES
  • AWS SSM
  • AWS RDS

CI/CD & Automation

Pipelines

  • GitHub Actions
  • GitLab CI/CD
  • AWS CodePipeline

Build & Deploy

  • Docker
  • Git
  • Netlify

Systems & Scripting

  • Linux
  • Bash

Data Platform & Governance

Warehouse, Lake & ETL

  • AWS Redshift
  • AWS Glue
  • AWS Athena
  • AWS EMR
  • AWS DMS
  • PySpark

Governance

  • AWS Lake Formation
  • Amazon DataZone

Databases

  • PostgreSQL
  • MySQL
  • T-SQL
  • MongoDB

Observability & Security

Monitoring & Audit

  • Amazon CloudWatch
  • AWS CloudTrail
  • Amazon DynamoDB

Access & Encryption

  • AWS IAM
  • AWS KMS
  • TBAC / RBAC

Languages & Frameworks

Languages

  • Python
  • SQL
  • TypeScript
  • JavaScript
  • C++

Backend & APIs

  • Django
  • FastAPI
  • Boto3
  • Node.js

Data & Scraping

  • Pandas
  • NumPy
  • Selenium
  • BeautifulSoup

Frontend

  • Next.js
  • React.js

Education

FAST NUCES, Lahore

2018 – 2022

BS (Computer Science)

Highlights

  • 14 A's
  • Secured Dean's List

Significant Projects

  • Final Year Project: Deployed an Intelligent Intrusion Detection System for IoT devices, utilizing Temporal Convolutional Layer Neural Network (TCNN) Model for anomaly detection.
  • Facial Recognition based Smart Attendance System using Python.
  • WALL-E, an android application for online wallpapers.
  • Learning Management System using Java & SQL-lite.
  • Developed a replica website for PSL to archive match statistics.

Research Papers

  • AI based Detection of DDoS Attacks in Cloud Computing
  • Data Integrity Risks of IoT in healthcare (accepted by International Journal of Scientific Research and Engineering)

Teaching Assistant

  • Data Structures and Algorithms
  • Programming Fundamentals

Contact

Have a project, an idea, or just want to say hello? Let's talk.

me.sameer.farooq@gmail.com