Data Engineer

Building Data Infrastructure

Transforming raw data into actionable insights through scalable pipelines and modern architecture

Let's Connect

About Me

I'm a passionate data engineer with a strong foundation in building efficient data pipelines and scalable infrastructure. My journey in data engineering combines technical expertise with problem-solving skills to deliver robust solutions.

With hands-on experience in modern data tools and cloud platforms, I focus on creating clean, maintainable systems that drive business value through data-driven decision making.

Languages
Python, SQL, Golang
Big Data
Apache Spark, Kafka, Hadoop
Cloud
AWS, Azure, GCP
Databases
PostgreSQL, MongoDB, Redshift
Tools
Docker, Airflow, DBT, Git

Selected Projects

01

Real-Time ETL Pipeline

Designed and implemented a real-time data pipeline processing 100k+ events per second using Apache Kafka and Spark Streaming, reducing data latency by 80%.

Python Kafka Spark AWS
02

Data Warehouse Modernization

Migrated legacy data warehouse to cloud-native solution using Snowflake, implementing DBT for transformation and achieving 60% cost reduction.

Snowflake DBT SQL Airflow
03

Automated Data Quality Framework

Built comprehensive data quality monitoring system with automated validation checks, reducing data issues by 90% and improving data reliability.

Python Great Expectations PostgreSQL Docker

Let's Work Together

I'm currently open to new opportunities in data engineering. Whether you have a project in mind or just want to connect, feel free to reach out.