DataEngineer

Experienced data engineer with 5+ years building scalable pipelines and AI solutions. Specialized in Python, PySpark, AWS, and transforming complex data into actionable insights.

Get In TouchView Work
data_engineer.py
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def __init__(self, name):
self.name = name
self.skills = ["Python", "PySpark", "AWS"]
self.experience = "5+ years in data pipelines"
def build_pipeline(self):
return "ETL pipeline with real-time analytics"

About Me

I'm a passionate data engineer with 5+ years of experience building scalable data pipelines, AI solutions, and analytics platforms. I love tackling complex challenges, from vehicle condition analysis to rail traffic optimization, and transforming data into actionable business insights.

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Data Engineering

Building scalable ETL/ELT pipelines with PySpark & AWS

🤖

AI & ML

Developing ML models and GenAI solutions

☁️

Cloud Architecture

Designing robust cloud-native data platforms

Skills & Technologies

Technologies I work with

Python95%
PySpark90%
AWS85%
SQL85%
Docker80%
Airflow75%
Kubeflow75%
Databricks70%

Featured Projects

Some of my recent work

Vehicle Analytics Platform

Built data pipelines for vehicle condition analysis and predictive maintenance using PySpark and Kubeflow

PythonPySparkKubeflowAWS
CodeDemo

Rail Traffic Optimization System

Developed reinforcement learning system for optimizing S-Bahn train traffic flow with real-time control

PythonTensorFlowReactAWS
CodeDemo

Automated Data Extraction Platform

Created automated web scraping and data processing workflows with AWS services and MongoDB

PythonSeleniumBeautifulSoupAWSMongoDB
CodeDemo

Let's Work Together

I'm always interested in new data engineering challenges and innovative AI projects. Let's discuss how we can build scalable data solutions and drive data-driven decisions.