Transform your raw data into reliable, analytics-ready datasets with scalable data engineering solutions.

I help businesses automate data workflows by designing and building ETL/ELT pipelines that collect, clean, transform, and load data from multiple sources into cloud storage and databases. Whether you need to consolidate data, automate reporting, or prepare datasets for dashboards and machine learning, I deliver efficient and maintainable solutions tailored to your needs.

Build end-to-end ETL/ELT pipelines

Data extraction from APIs, databases, CSV, Excel, and cloud storage

Data cleaning, validation, and transformation

SQL query development and optimization

AWS-based data workflows using Amazon S3, Athena, and Glue

Data modeling and warehouse preparation

Automated data processing and scheduled workflows

Documentation and deployment support

Python

SQL

AWS (Amazon S3, Athena, Glue)

Apache Spark (PySpark)

Pandas

Git & GitHub

Docker

Clean, well-documented, and maintainable code

Reliable communication and on-time delivery

Focus on scalable, production-ready solutions

Solutions tailored to your business and analytics needs

Let's build a data pipeline that saves time, improves data quality, and enables better decision-making.