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Python & Data Engineering

Data pipelines, Flask/FastAPI microservices, and Python automation scripts built to scale. From ETL pipelines and FastAPI microservices to large-scale web scraping and data visualization — I build Python systems that turn raw data into actionable insights.

Python & Data Engineering
250+ Machines Real-time Data
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Data that flows

I deep-dived into Python & ML in 2021 and have since built data pipelines, Flask/FastAPI microservices, and automation scripts for businesses across industries. From ETL pipelines processing millions of records to real-time factory data from 250+ machines — I build Python systems that scale.

Full production visibility across all 250+ machines in real time — accessible from any browser.

Data Engineering

Millions

Records Processed

Everything You Need for Data

From microservices to ETL pipelines and large-scale web scraping.

Flask

Flask / FastAPI microservices

ETL pipelines & data processing

ETL pipelines & data processing

Web scraping at scale with Scrapy

Web scraping at scale with Scrapy

Data visualization with Plotly & D3

Data visualization with Plotly & D3

Technologies I work with

Python Flask FastAPI Pandas NumPy Scrapy BeautifulSoup Plotly D3.js Celery RQ InfluxDB OPC-UA Modbus Jupyter Matplotlib

My Process

From data source to actionable insight — a proven pipeline-building methodology.

STEP 01

Source

Identify data sources — APIs, databases, files, sensors, or web — and design the collection strategy.

STEP 02

Pipeline

Build ETL/ELT pipelines with proper schema validation, transformation, and error handling.

STEP 03

Serve

Expose data via FastAPI/Flask microservices with authentication, rate limiting, and documentation.

STEP 04

Visualize

Build interactive dashboards with Plotly/D3 that turn raw data into real-time business insights.

Let's Turn Data into Insight

Tell us about your data challenges and I'll build pipelines and microservices that scale.