🚀 Senior Software / DevOps Engineer
☁️ Specializing in Cloud Infrastructure, Microservices, Data Engineering Pipelines, and Fintech Applications

• Programming Languages: Python, Bash/Shell Scripting
• Frameworks: Django, Flask, FastAPI
• Cloud Platforms: AWS, GCP, Azure
• DevOps Tools: Docker, Kubernetes, Jenkins, Terraform, Ansible
• Data Engineering: Airflow, ETL Pipelines, BigQuery, Pandas
• Databases: PostgreSQL, MongoDB, MSSQL, Greenplum
• Search Platforms: Elastic Stack (Elasticsearch, Kibana, Logstash)
• CI/CD: GitHub Actions, Jenkins, GitLab CI
• Monitoring: Prometheus, Grafana
• Other Tools: Firebase, AppEngine, Sitefinity, Shopify APIs

Odyssey Analytics | Jun 2022 – Present

• Built microservices using FastAPI for high-performance data analysis products.
• Designed and implemented ETL pipelines with Airflow and Python for cryptocurrency and stock market data.
• Deployed cloud solutions with AWS ECS, Docker, and Minio, improving deployment efficiency.
• Designed scalable data migration pipelines for cloud infrastructures, enhancing system reliability.

EPESYS | Dec 2021 – Jun 2022

• Transitioned an e-commerce platform to microservices architecture using Django and Elastic Stack.
• Implemented ETL processes for streamlined data extraction and integration.
• Enhanced platform performance and deployed CI/CD pipelines for continuous delivery.

K-LINKE Solutions | Oct 2020 – Nov 2021

• Automated data scraping processes for Amazon and Walmart, visualized with Django.
• Deployed scalable web applications using AWS EC2 and RDS.

A tool for analyzing smart contracts and identifying vulnerabilities in the blockchain ecosystem.

• Tech Stack: FastAPI, Flask, AWS (S3, EC2, RDS), OpenAPI, TensorFlow
• Highlights:
  • Developed backend infrastructure for smart contract analysis.
  • Enhanced security for blockchain applications, mitigating risks and vulnerabilities.

A web app for healthcare cost comparison, integrating geolocation-based search and OCR technology.

• Tech Stack: Python, Flask, Firebase, GCP, PostgreSQL, Elastic Stack
• Highlights:
  • Implemented Elastic Search for accurate and efficient healthcare cost searches.
  • Migrated data platforms to optimize performance and scalability.

Migrated banking data infrastructure to Greenplum with post-migration analysis.

• Tech Stack: Python, FastAPI, MSSQL, Greenplum
• Highlights:
  • Conducted in-depth data analysis to ensure seamless migration.
  • Optimized ETL processes and enhanced query performance.

Developed an RMS for the Italian hospitality industry, leveraging data from Property Management Systems.

• Tech Stack: Python, Django, BigQuery, Pandas
• Highlights:
  • Integrated machine learning for data-driven pricing strategies.
  • Improved revenue performance for hospitality establishments.

• Email: [email protected]
• LinkedIn: linkedin.com/in/mahmadmanzoor

I’m passionate about open-source projects and love automating everyday tasks to improve efficiency.

This README was generated with ❤️ by Muhammad Ahmad.