I'm a DataOps Analyst focused on building reliable automation, data workflows, and developer tools.
My work sits at the intersection of Python, SQL, automation, and data engineering, where I enjoy simplifying repetitive processes and turning raw operational data into useful insights.
I began my career with a software engineering background and gradually moved into enterprise DataOps, where I discovered that I enjoy solving data and automation problems at scale. Outside work, I build practical side projects, contribute to open source, and explore AI-powered products.
My long-term goal is to build software that creates lasting value through automation, intelligent systems, and useful products.
- 🔭 Building automation and reporting systems in enterprise DataOps
- 🌱 Learning Data Engineering, Distributed Systems, System Design, and AI Engineering
- 🧠 Exploring LLM applications and developer productivity tools
- 🤝 Open to collaborating on Python, Data Engineering, Automation, and AI projects
Python • SQL • JavaScript • Java
Pandas • ETL • Data Validation • Reporting Automation • Excel Automation • Streamlit
Flask • FastAPI • REST APIs
Teradata • PostgreSQL • MySQL • MongoDB
Git • Linux • Docker • Azure • Google Cloud • Postman
Apache Spark • Apache Airflow • Advanced System Design • AI Engineering
Production-inspired Python ETL pipeline that automates healthcare claims reporting from raw operational data to validated Excel reports and automated email delivery across multiple business segments.
Tech: Python • Pandas • ETL • Automation • Reporting
Interactive Streamlit application for generating Auto-Adjudication reporting dashboards from claims datasets.
Tech: Streamlit • Python
RAG-powered platform that helps students analyze previous exam papers using Pathway and LLMs.
Tech: Python • Pathway • Streamlit • Docker • LLM
Semantic desktop search engine for finding files by meaning instead of filename.
"Find files you remember but cannot name."
Tech: Python • Embeddings • Semantic Search
Simulation environment that mimics a real healthcare claims adjudication workflow for experimentation and learning.
Tech: Python • Data Engineering
- Build useful software.
- Automate repetitive work.
- Learn in public.
- Think in systems.
- Improve through consistency rather than intensity.
DataOps Analyst
Working in enterprise DataOps on automation, reporting workflows, operational analytics, and internal tooling. My work includes Python automation, SQL, ETL processes, data validation, reporting, and workflow optimization.
Previously joined IBM as a developer intern before transitioning into DataOps within the same enterprise environment.
- 🌍 Portfolio
- 📝 Substack (currently documenting my learning journey)
- 📄 Resume
- 📧 muzammilibrahim13@gmail.com
Building software that removes friction, scales knowledge, and creates long-term impact.