Data informs, creativity inspires

Cloud Data Engineer and Developer, curious to solve complex problems

I have been working in the field of data and software for 3+ years, deepening my expertise by learning and gaining experience in using data to help businesses make informed decisions.

My skills include everything from designing data pipelines, data transformation to building dashboards and deploying machine learning models. Additionally, knowledge of full-stack development allows me to craft seamless end-to-end solutions.

As a data professional, I recognize that effective communication with stakeholders on technicalities is critical. That's why my priority is listening to stakeholder or customer needs and transform them into a technical solution that add value.

Data to me is not just about numbers, but about finding patterns and solutions that can drive change and innovation. That is why I am committed to continuous learning and strive to discover something new every day.

Outside of work, I enjoy playing playing my guitar often in a band setting. Music is my creative outlet, and it helps me think outside the box and bring that creativity into my work hence the phrase "Data informs, creativity inspires".

Skills

Data Engineering and Analytics

Creating scalable data pipelines
Data warehousing and Dashboards
Machine learning and MLOps

Cloud & Fullstack for Data Ops

Developing APIs for data services
Infrastructure as Code(IaC) using Terraform
Developing and deploying crawlers & Spiders
Data-Serving back end systems

Projects

Car Price Estimator

Created a machine learning model to predict car prices in Germany, packaged it in a Docker container and deployed it on the AWS platform.

React
AWS Gateway
AWS Lambda
AWS ECR
Docker

Explore Source Code

E-charging Infrastructure Pipeline

Built an end-to-end data pipeline to fetch E-charging Infrastructure data from source, perform cleaning and transformation for analytical purposes.

dbt
Bigquery
Looker Studio
GCS
Prefect
Docker
Terraform

Explore Source Code

Reddit Data Pipeline

Built a data pipeline to fetch, store, process, and visualize Reddit data, automating schema discovery and enabling efficient querying and analysis.

Glue
Quicksight
Docker
Terraform
Athena
Redshift
S3

Source Code

IOT Data Streaming Pipeline

This is a simulation of a real-time IoT data, where a vehicle journey is tracked in real-time, and data is streamed to a central system for analytical use.