Skip to content
View reevsreigner's full-sized avatar
🎯
Focusing
🎯
Focusing

Highlights

  • Pro

Block or report reevsreigner

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
reevsreigner/README.md

Hey there 👋, I'm Krishna

Data Engineering Enthusiast | Building Intelligent Data Systems | Turning Complexity into Insight


👨‍💼 About Me

I'm a technology professional with hands-on experience in systems monitoring and automation, now advancing into Data Engineering — where infrastructure meets intelligence.

My focus is on designing scalable data pipelines, automated analytics workflows, and streamlined data systems that enable better decision-making across operational domains. I enjoy working at the intersection of engineering, analytics, and automation — transforming raw data into structured intelligence.


🚀 Featured Projects

🛰️ Operational Fault–KPI Correlation Pipeline

A Python-based simulation and analytics pipeline that models fault events and performance metrics to detect behavioral correlations using structured data processing.

  • Components: simulate_faults.py, simulate_kpis.py, and main.py
  • Includes: event simulation, data normalization, correlation logic, SQLite integration
  • Visualization: Interactive Streamlit dashboard for KPI trends and event logs

📈 Demonstrates applied data engineering — from simulation and ingestion to transformation and insight visualization.


🧭 ShiftSmith – Intelligent Shift Roster Generator

A PyQt-based data-driven application that automates workforce scheduling under multi-variable constraints.

  • Features: Calendar-based UI, data validation, rule-based scheduling, Excel/Image exports
  • Includes: Intelligent continuity logic, employee data management, undo-safe operations

🧩 Showcases algorithmic thinking, UI design, and real-world optimization through Python.


⚙️ Tech Stack

Python · Pandas · NumPy · SQL · Streamlit · SQLite
PyQt · AWS · GCP · Terraform · Kubernetes · Git


☁️ Current Focus

  • Architecting end-to-end data pipelines for analytics and automation
  • Advancing skills in GCP data services — BigQuery, Dataflow, Pub/Sub, Vertex AI
  • Preparing for Google Cloud Professional Data Engineer Certification
  • Experimenting with predictive modeling on simulated operational datasets

🧩 Learning Roadmap (2025)

  • 📘 Coursera Plus: Advanced Data Engineering specialization
  • ☁️ Cloud-native data architecture and orchestration
  • 🧠 Building high-quality, open-source portfolio projects that demonstrate domain-neutral data engineering

📫 Connect with Me

LinkedIn Gmail GitHub


💬 Motto

"Data without purpose is noise. My aim is to engineer clarity — systems that make information flow seamlessly and decisions smarter."


Popular repositories Loading

  1. ran-fault-data-pipeline ran-fault-data-pipeline Public

    Python 1

  2. network-fault-pipeline network-fault-pipeline Public

    An end-to-end data pipeline to ingest, clean, and analyze telecommunications data, and train a model to predict network faults.

    Python 1

  3. sturdy-parakeet sturdy-parakeet Public

  4. lazy_projects lazy_projects Public

  5. prodigypurjects prodigypurjects Public

    my projects made under Data Science Internship at Profigy Infotech.

    Python

  6. CODSOFT CODSOFT Public

    Python