About Me
A Bachelor of Engineering in Computer Science, I am a Data Engineer and Full-Stack Developer passionate about the lifecycle of data. From architecting scalable pipelines to crafting high-performance web applications, I focus on precision, performance, and clean code. I thrive at the intersection of data processing and modern web technologies, delivering end-to-end solutions that empower data-driven decision-making.
Architecting Data Foundations
I am a data engineer specializing in building exceptional digital experiences. Currently, I'm focused on building highly responsive, human-centered products.
My Works
Sales Insight Pro
This Power BI project is focused on building a sales dashboard that provides key performance indicators (KPIs) for monitoring sales performance. The dashboard integrates data from a fictional sales database and displays insights like total sales.
SupplySight Analytics
End-to-end supply chain dashboard. Features a synthetic Python data generation pipeline (Arch Linux) feeding into an interactive Power BI dashboard tracking logistics KPIs, shipping delays, and revenue metrics.
Pulse Stream Analytics
A real-time e-commerce observability platform. Features a high-concurrency Python data simulator, a DuckDB analytical engine for sub-second aggregations, and a glassmorphic Next.js "Command Center" dashboard. Built to demonstrate live ETL/ELT patterns and streaming data visualization.
Cybershield IDS
A beginner-friendly Intrusion Detection System (IDS) built using Python with a graphical user interface (GUI). This project monitors simulated or real log data to detect suspicious activities such as repeated failed login attempts and abnormal behavior patterns. It provides real-time alerts through the UI and logs detected threats for analysis.
FleetPulse
FleetPulse is a full-stack data engineering project designed to simulate and monitor a commercial delivery fleet in real-time. The system tracks vehicle GPS coordinates, engine status, and fuel consumption trends across
TeamPulse Dashboard
TeamPulse Dashboard is a data-driven application designed to monitor and analyze team member activity in a centralized interface. Built using Streamlit, it provides a clean and interactive front end for tracking real-time actions and reviewing historical activity logs. The system enables managers to gain insights into productivity and performance trends efficiently. Developed entirely in Python, it ensures simplicity, scalability, and quick deployment. The project highlights effective data visualization and streamlined team monitoring in a user-friendly environment.
Aura Lakehouse
This enterprise-grade Medallion Lakehouse platform simplifies high-integrity data refining. Built on Apache Iceberg, it transforms raw streams into ACID-compliant "Gold" assets. It features a Next.js glassmorphic dashboard with Time Travel, Schema Evolution, and PII-masking, ensuring a scalable, secure, and traceable data ecosystem.
Ledger Logic
A high-integrity Analytics Engineering platform simulating a BNPL (Buy Now, Pay Later) ecosystem. It transforms raw ERP-style transaction logs into an AI-ready Star Schema using SQL. Features include a centralized Metrics Layer, automated financial integrity checks, and a documentation framework designed for LLM grounding.
DataFlix
A high-density Data Ops dashboard built with Next.js 15. Modeled after the Netflix UI, it visualizes Medallion Lakehouse pipelines (Bronze/Silver/Gold) as premium assets. Features real-time observability, Iceberg snapshot tracking, and an AI-driven SQL query interface. High-level & sleek.
FrostFlow Engine
A high-throughput IoT data engine monitoring pharmaceutical cold chains. It processes real-time sensor telemetry via a Medallion Lakehouse (Kafka/Spark/Iceberg) to detect thermal excursions. Features a glassmorphic Next.js dashboard for live fleet observability, spoilage risk scoring, and audit-ready shipment tracking.
Novapulse crypto Intelligence
NovaPulse is a real-time predictive engine for crypto markets. Using state-of-the-art streaming and ML, it forecasts crashes and surges before they happen. Its "Cyber-Mint" glassmorphic dashboard provides sub-second buy/sell signals, advanced live charting, and instant search, turning volatile data into actionable trading intelligence.
Sentinel Flow
A real-time Kafka/Flink pipeline that detects schema drift and failures. An integrated Next.js dashboard uses a LangGraph AI Agent to diagnose logs, suggest automated SQL fixes, and allow "one-click" remediation. It bridges the gap between raw data engineering and proactive, human-in-the-loop AI operations.
Ghostpipe mesh
GhostPipe is a decentralized data mesh that enables secure analytical joins without moving raw data. Using Differential Privacy and SMPC, it keeps PII local while allowing cross-org insights. It features a Next.js glassmorphic dashboard to track Epsilon privacy budgets and real-time node handshakes, ensuring a zero-trust, ACID-compliant pipeline.
Deal Pulse
A predictive price engine built with Next.js and Python. It leverages real-time Amazon data to compare Yesterday, Today, and Predicted Tomorrow prices. Features a high-fidelity "Museum Light" UI, automated buy/wait recommendations based on stock velocity, and a dynamic recommendation system for smart shopping.
Cloud Stream Analytics
A local-first, event-driven data engineering pipeline mirroring AWS infrastructure. Ingests mock e-commerce telemetry via LocalStack Kinesis, processes records using an asynchronous FastAPI consumer, and visualizes high-velocity metrics on a high-density, real-time Next.js dashboard using WebSockets. Zero-cost cloud architecture simulation.
Xcelerate
Convert chaotic spreadsheets into high-density analytical terminals. Xcelerate automatically ingests any Excel or CSV file, runs schema inference, and instantly provisions an interactive, financial-grade dashboard. Track metrics, monitor statuses, and explore data trends through a completely reactive UI built for rapid business intelligence.
Carbongrid Orchestrator
An autonomous, spatial data engine that ingests live global grid emissions into ClickHouse via Redpanda. It uses an agentic optimization loop to dynamically route or delay high-throughput data processing workloads, minimizing carbon footprints in real time
Let's build your next
masterpiece.
I'm currently available for freelance work and full-time opportunities. Have a project in mind? Let's talk!
Email Address
baazithh.p@gmail.com