You will get AWS DevOps CI/CD Pipeline, CloudFormation, Terraform and Boto3


Project details
The goal of this project is to design and implement a DevOps pipeline on the Amazon Web Services (AWS) cloud platform. The DevOps pipeline will automate the software development and deployment processes, enabling efficient and reliable delivery of software applications.
Objectives:
• Design and implement a DevOps pipeline on AWS.
• Automate the software development and deployment processes.
• Ensure the pipeline is scalable, secure, and highly available.
• Implement continuous integration and continuous deployment practices.
Technology Stack:
• AWS CodeCommit for version control.
• AWS CodeBuild for continuous integration and building.
• AWS CodeDeploy for continuous deployment.
• AWS CloudFormation for infrastructure as code.
• AWS CloudWatch for monitoring and logging.
Expected Outcome:
A DevOps pipeline that provides efficient and reliable delivery of software applications, with a focus on automation and continuous improvement. The pipeline will be scalable, secure, and highly available, enabling the development team to focus on delivering new features and functionality.
Objectives:
• Design and implement a DevOps pipeline on AWS.
• Automate the software development and deployment processes.
• Ensure the pipeline is scalable, secure, and highly available.
• Implement continuous integration and continuous deployment practices.
Technology Stack:
• AWS CodeCommit for version control.
• AWS CodeBuild for continuous integration and building.
• AWS CodeDeploy for continuous deployment.
• AWS CloudFormation for infrastructure as code.
• AWS CloudWatch for monitoring and logging.
Expected Outcome:
A DevOps pipeline that provides efficient and reliable delivery of software applications, with a focus on automation and continuous improvement. The pipeline will be scalable, secure, and highly available, enabling the development team to focus on delivering new features and functionality.
Programming Languages
JavaScript, PythonCoding Expertise
Performance Optimization, Security, DesignWhat's included $100
These options are included with the project scope.
$100
- Delivery Time 1 day
- Number of Revisions Unlimited
- Content Upload
- Source Code
14 reviews
(14)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
RR
Regina R.
Oct 3, 2025
AWS ETL Automation From CSV
RR
Regina R.
Feb 29, 2024
AWS ETL Automation
Hamza is very talented and easy to work with. We are excited to continue a relationship with him because he has the skill set to deliver within time and budget. We will definitely be requesting his service and expertise again!
JY
Josh Y.
Feb 18, 2024
AWS CI/CD pipeline implementation
Hamza, like always, is very responsive, helpful and professional. He spends a meaningful amount of time and asks questions until he has a full understanding of your project and requirements. He then promptly completes the task. He knows what he is doing and I can fully trust him and his work.
JY
Josh Y.
Nov 20, 2023
Python backend with experience in AWS
Hamza was extremely helpful. It was a very simple problem but he walked me through it step by step whilst explaining what was going on thoroughly. He seemed to have expert knowledge in this field and I could trust him. If I have any other problems (which I definitely will), he will be my go-to person.
JL
Jim L.
Jul 7, 2023
Hamza has become my go-to resource for everything AWS and Python-related. He is exceptionally responsive, has top-notch technical skills, and has a gift at explaining what he will do and has done. I cannot recommend him or his company highly enough.
About Muhammad Hamza
Principal Data Engineer | PySpark, SQL, Airflow, Databricks, Snowflake
Lahore, Pakistan - 2:29 pm local time
Are you looking for a Data Engineer who can design, build, and optimize end-to-end data ecosystems... from ingestion and transformation to analytics and machine learning readiness?
I help startups and teams turn raw, messy, and siloed data into reliable, insight-driven systems — enabling everything from BI dashboards to AI model pipelines.
🧠 Core Data Engineering Expertise
✅ Data Pipeline Development – Batch & streaming pipelines using Airflow, Prefect, or Dagster
✅ ETL / ELT Workflows – Building robust data transformation layers with dbt and Python
✅ Data Warehousing – Designing scalable warehouses in Snowflake, BigQuery, or Redshift
✅ Data Lake Architecture – Implementing lakehouses on AWS S3, GCP, or Azure Data Lake
✅ Real-Time Data Processing – Kafka, Spark Streaming, or Flink for event-driven systems
✅ Data Modeling & Quality – Star/snowflake schema design, validation, and observability
✅ APIs & Automation – Building FastAPI / Flask APIs to integrate or expose data services
⚙️ Tools & Tech Stack
Languages: Python, SQL, Bash
Frameworks: Airflow, dbt, Spark, Pandas, PySpark
Databases: Snowflake, BigQuery, Redshift, PostgreSQL, MongoDB
Cloud & Storage: AWS (S3, Glue, Lambda), GCP (Dataflow, BigQuery), Azure
Orchestration: Airflow, Prefect, Dagster
DevOps & Deployment: Docker, Terraform, GitHub Actions, CI/CD
Monitoring: Great Expectations, DataDog, Prometheus
🔍 What I Deliver
End-to-end ETL/ELT pipelines optimized for reliability and scalability
Data warehouses and lakehouses are ready for BI and ML workloads
Real-time data streaming and ingestion from multiple sources
Automated data validation and observability to ensure accuracy
Secure, cloud-native infrastructure that grows with your business
💬 Why Clients Choose Me
I don’t just move data... I build data systems that deliver trust, speed, and insight. Every project includes structured documentation, reproducible pipelines, and deployment automation, so your team can scale with confidence.
If you need a Data Engineer who can transform fragmented data into a high-performance, analytics-ready ecosystem; Let’s connect.
Steps for completing your project
After purchasing the project, send requirements so Muhammad Hamza can start the project.
Delivery time starts when Muhammad Hamza receives requirements from you.
Muhammad Hamza works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery Session
Requirements Gathering